Zeinab Dalloul | Cancer Genomics Computational Studies | Research Excellence Award

Published on by Computational Biologists

Research Excellence Award

Zeinab Dalloul
Algentics

Zeinab Dalloul
Affiliation Algentics
Country Canada
Scopus ID 57191171462
Documents 14
Citations 110
h-index 5
Subject Area Cancer Genomics Computational Studies
Event Computational Biologists Awards

Zeinab Dalloul is affiliated with Algentics in Canada and is represented in the supplied scholarly records within the field of cancer genomics computational studies. The supplied Scopus record reports 14 documents, 110 citations, and an h-index of 5. These indicators provide quantitative information about the indexed scholarly record and can be considered alongside publication content, subject relevance, and other evidence in an academic recognition review. [1]

Abstract

Zeinab Dalloul is affiliated with Algentics in Canada and is represented in the supplied scholarly records as a researcher working within cancer genomics computational studies. Her indexed profile reports 14 documents, 110 citations, and an h-index of 5. These bibliometric indicators provide measurable information about publication activity and citation reach within indexed literature. Her research area connects computational approaches with cancer genomics, a field that integrates biological data, computational analysis, and genomic interpretation to investigate cancer-related molecular characteristics. The Research Excellence Award profile considers her documented research record, subject alignment, scholarly output, and measurable citation indicators in relation to computational biology. [1]

Keywords

Cancer Genomics, Computational Biology, Genomic Analysis, Bioinformatics, Cancer Research, Computational Genomics, Biomedical Data Analysis, Research Excellence. [1]

Introduction

Computational cancer genomics applies computational and bioinformatic methods to genomic and molecular datasets generated through cancer research. Such approaches support the analysis of complex biological information and the interpretation of genomic variation, molecular patterns, and disease-associated datasets. Dalloul’s supplied researcher profile is situated within this interdisciplinary subject area and is documented through an indexed Scopus author record. [1]

Research Profile

Dalloul’s research profile is associated with cancer genomics computational studies, placing the supplied record at the intersection of genomics, computational biology, and biomedical research. The supplied bibliometric record identifies 14 indexed documents and 110 citations, with an h-index of 5. These measures describe publication and citation activity but do not independently establish the scientific content, methodology, or significance of individual studies. [1]

Research Contributions

Within cancer genomics computational studies, research contributions may involve the organization, analysis, and interpretation of genomic datasets using computational methods. Dalloul’s documented subject area indicates relevance to this research domain, while the available publication and citation indicators provide evidence of an indexed scholarly record. Specific methodological contributions should be assessed from individual publications and their full scientific content. [1]

Publications

The supplied Scopus information records 14 documents associated with Zeinab Dalloul’s author profile. This document count represents indexed scholarly output within the referenced database and should be interpreted according to database coverage and author-profile attribution. Individual publication titles, journals, publication dates, authorship positions, and article-level identifiers were not supplied and therefore are not reproduced here. [1]

Research Impact

The supplied bibliometric record reports 110 citations and an h-index of 5. Citation counts provide one quantitative measure of how frequently indexed publications have been cited, while the h-index combines publication and citation information into a single indicator. Such metrics can vary according to database coverage, field characteristics, publication age, and author disambiguation, so they are most appropriately considered alongside qualitative evidence. [1]

Award Suitability

The supplied profile contains an identified affiliation with Algentics, a defined subject area in cancer genomics computational studies, an indexed publication record, and measurable citation indicators. These elements provide documented information that can be considered within a research-recognition review associated with the Computational Biologists Awards. Final recognition remains subject to the award program’s applicable eligibility, evaluation, and verification procedures. [3]

Conclusion

Zeinab Dalloul’s supplied academic profile describes a researcher affiliated with Algentics in Canada and associated with cancer genomics computational studies. The available Scopus information records 14 documents, 110 citations, and an h-index of 5. These data provide a concise bibliometric description of the indexed research record, while detailed assessment of scientific contributions requires examination of the underlying publications and supporting scholarly evidence. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Zeinab Dalloul, Author ID 57191171462. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57191171462
  2. Review article. (2025.) Leveraging liquid biopsy to uncover resistance mechanisms and guide personalized immunotherapy.
    https://doi.org/10.1016/j.tranon.2025.102445
  3. Computational Biologists Awards. (2026. )  Computational Biologists Awards.
    https://computationalbiologists.com/

David Hong | Cancer Genomics Computational Studies | Best Researcher Award

Published on by Computational Biologists

Best Researcher Award

David Hong
MD Anderson Cancer Center, United States

David Hong
Affiliation MD Anderson Cancer Center
Country United States
Scopus ID 34770051000
Documents 560
Citations 39,661
h-index 100
Subject Area Cancer Genomics Computational Studies
Event Computational Biologists Awards
ORCID 0000-0001-8721-1609

David S. Hong is a professor in Investigational Cancer Therapeutics at The University of Texas MD Anderson Cancer Center. His documented research profile encompasses oncology, early-phase clinical trials, molecularly informed cancer treatment, and translational investigation. His ORCID record identifies the same Scopus Author ID supplied for this profile and lists phase I clinical trials, oncology, and cancer among his research keywords. [1] His published work also includes studies involving clinical next-generation sequencing and genomic characterization intended to support precision oncology. [2]

Abstract

David S. Hong is a physician-scientist and professor at The University of Texas MD Anderson Cancer Center whose research integrates investigational therapeutics, molecular oncology, precision medicine, and cancer genomics. His scholarly record includes clinical studies examining genomic alterations, targeted therapies, immunotherapy, and early-phase therapeutic development. His ORCID profile associates him with phase I clinical trials, oncology, and cancer, while published studies demonstrate participation in genomic profiling and molecular characterization of tumors. [1] [2] These activities provide a substantive basis for consideration within a research recognition framework focused on computationally informed cancer biology.

Keywords

Cancer genomics, computational oncology, precision medicine, molecular oncology, next-generation sequencing, investigational therapeutics, phase I clinical trials, targeted therapy, translational research, genomic profiling.

Introduction

Computational approaches increasingly connect genomic measurements with clinical decision-making in precision oncology. Within this research environment, David S. Hong has contributed to investigations in which molecular profiling, cancer biology, and therapeutic development intersect. His institutional profile identifies him as a professor in Investigational Cancer Therapeutics at MD Anderson Cancer Center. [3] His publication record includes research addressing actionable genomic alterations and molecular characterization of advanced cancers, supporting the relevance of his work to data-driven cancer research. [2]

Research Profile

Hong’s research profile is centered on investigational cancer therapeutics and the molecular basis of cancer, with particular relevance to early-phase clinical development. His ORCID record identifies phase I clinical trials, oncology, and cancer as keywords, while institutional information places his work within Investigational Cancer Therapeutics. [1] [3] This combination creates a translational research pathway in which molecular evidence can inform therapeutic hypotheses, clinical trial design, and assessment of emerging treatment strategies.

Research Contributions

A significant component of Hong’s documented research involves the use of molecular and genomic information in oncology. A study of clinical next-generation sequencing in a phase I program examined recurrent hotspot mutations across cancer-related genes and was associated with Bioinformatics & Computational Biology and Systems Biology research areas at MD Anderson. [2] Other work has addressed comprehensive molecular characterization of KRAS G12C-mutant colorectal cancer, demonstrating the relevance of genomic alterations to precision oncology research. [4]

Publications

Hong has participated in peer-reviewed research covering clinical next-generation sequencing, genomic profiling, molecularly defined cancers, targeted treatment, and investigational therapeutics. His ORCID record currently lists hundreds of works in its broader publication record, including recent articles and contributions indexed through Crossref. [1] A representative genomic study, “Clinical Next-Generation Sequencing for Precision Oncology in Rare Cancers,” reported the application of sequencing approaches to precision oncology and included Hong among its authors. [5]

Research Impact

The supplied bibliometric profile reports 560 documents, 39,661 citations, and an h-index of 100. These figures are presented here as supplied profile data rather than independently recalculated metrics. The underlying research record demonstrates engagement with genomic characterization, molecular profiling, and therapeutic development, areas that contribute to the broader evidence base for precision cancer medicine. [2] [5] Recent institutional and ORCID records also confirm an ongoing research role at MD Anderson. [1] [3]

Award Suitability

For the Best Researcher Award associated with the Computational Biologists Awards, Hong’s profile is relevant through its intersection of cancer genomics, computationally supported molecular research, precision oncology, and translational therapeutics. His documented participation in studies using next-generation sequencing and genomic characterization provides direct subject-area relevance, while his institutional position and publication record indicate sustained engagement with cancer research. [2] [3] Final award decisions should remain subject to the organizer’s formal evaluation criteria and independent verification of submitted bibliometric information.

Conclusion

David S. Hong’s documented research connects investigational cancer therapeutics with molecular oncology and genomic approaches to precision medicine. Evidence from institutional, ORCID, and scholarly sources supports his involvement in clinical and translational cancer research, including genomic profiling and molecular characterization. [1] [3] On the basis of the supplied profile information, his research trajectory presents a credible alignment with a recognition category emphasizing sustained scholarly contribution and computationally informed cancer research.

References

  1. Elsevier. (n.d.). Scopus author details: David Hong, Author ID 34770051000. Scopus.
    https://orcid.org/0000-0001-8721-1609
  2. cancer Resear. (2024). Abstract 1250: Activating PIK3CA mutations and hedgehog signaling may confer resistance to KRAS inhibition in colorectal cancer.
    https://doi.org/10.1158/1538-7445.AM2024-1250
  3. Clinical cancer Resear .(2010). A First-in-Human Study of Conatumumab in Adult Patients with Advanced Solid Tumors.
    https://doi.org/10.1158/1078-0432.CCR-10-0631
  4. ORCID. (n.d.). ORCID record for David Hong.
    https://orcid.org/0000-0001-8721-1609
  5. Computational Biologists Awards. (2026). Official Award Website.
    https://computationalbiologists.com/

Ivo Gut | Cancer Genomics Computational Studies | Outstanding Scientist Award

Published on by Computational Biologists

Dr. Ivo Gut | Cancer Genomics Computational Studies |Outstanding Scientist Award

Director at Centro Nacional de Analisis Genomico, Spain.

Dr. Ivo Glynne Gut is an internationally recognized genomics expert, known for pioneering contributions in genome analysis, technology development, and translational research. Born in Basel, Switzerland, in 1960, he holds dual Swiss and British nationality and is fluent in German, English, French, and Spanish. Over a distinguished career spanning more than three decades, he has significantly influenced cancer genomics, rare diseases, epigenetics, and single-cell biology. Dr. Gut is currently the Director General and CEO of the Centro Nacional de Análisis Genómico (CNAG) in Barcelona, a leading genome analysis center in Southern Europe.

🎓Academic Background:

Dr. Ivo Glynne Gut embarked on his academic journey in the field of chemistry at the University of Basel, Switzerland. He earned his undergraduate degree in Chemistry in 1985, laying a strong foundation in the chemical sciences. Demonstrating a keen interest in the physical aspects of chemistry, he pursued and completed a Ph.D. in Physical Chemistry at the same institution in 1990. His doctoral studies equipped him with a profound understanding of the physical principles underlying chemical systems, setting the stage for his future contributions to genomics and molecular biology.

Profile:

💼 Professional Experience:

Dr. Ivo Glynne Gut is a renowned expert in genomics with a career spanning both academia and large-scale research infrastructures. He served as the Director of the Centro Nacional de Análisis Genómico (CNAG) in Spain, where he led high-throughput sequencing efforts for large genomic projects. Prior to that, he was a key scientist at the Centre National de Génotypage (CNG) in France, contributing to major European and international genomics initiatives. Dr. Gut has played a pivotal role in advancing personalized medicine, population genomics, and cancer research through his leadership and innovative approaches in genome analysis. His work bridges cutting-edge technology development with impactful biomedical applications.

🧪 Scientific and Research Excellence:

Dr. Gut’s scientific journey has been defined by a consistent drive to develop and apply innovative technologies to solve complex biomedical problems. His work has led to the creation of gold-standard tools, such as bisulphite pyrosequencing for DNA methylation analysis, and to the foundation of Epigenomics AG, which commercialized the Septin9 blood-based test for colon cancer detection. He played a key role in several landmark genome-wide association studies (GWAS) and was instrumental in uncovering critical genetic mutations in various cancers, including lung cancer, melanoma, and chronic lymphocytic leukemia (CLL). His recent focus on single-cell genomics has opened new frontiers in understanding immune cell dynamics in health and disease.

🌍 International Collaborations and Initiatives:

Dr. Gut’s influence extends globally through his participation in and leadership of major international initiatives. These include the International Cancer Genome Consortium (ICGC), International Human Epigenome Consortium (IHEC), and the 1+Million Genomes Initiative. He has chaired quality control working groups, led genomic infrastructure projects like RD-Connect and EASI-Genomics, and participated in European flagship programs in cancer and rare disease research. His involvement has shaped global best practices in genomic data analysis and policy.

🧠 Areas of Expertise:

His areas of specialization include genomics, bioinformatics, cancer biology, rare diseases, high-throughput sequencing, DNA/protein analysis methods, and the development of omics technologies. His interdisciplinary expertise has allowed him to lead from both technological and clinical fronts.

🏆Honors and Recognition:

Dr. Gut’s excellence has been widely recognized, notably with the “Stars of Europe” Prize awarded to the READNA consortium he coordinated. He also holds several prestigious fellowships and has served on influential scientific advisory boards for institutions including Genome Canada, ELIXIR, and the German Federal Ministry of Education and Research (BMBF). His patented inventions (24 in total) have had significant translational impact, further exemplifying his role as a bridge between discovery and real-world application.

🏥 Leadership and Institutional Impact:

As founding director of CNAG, Dr. Gut has overseen its evolution into a powerhouse of genomic research, managing a team of over 130 professionals and an annual budget of €14 million. Under his leadership, CNAG has achieved ISO certifications, produced over 400 studies annually, and contributed crucial genomic infrastructure and insight to the Spanish healthcare system, particularly in cancer and rare disease diagnostics. His role encompasses scientific strategy, operations, human resources, finance, and stakeholder engagement with ministries of research and health.

Publications:

  1. Lambert JC, Heath S, Even G, Campion D, Sleegers K, Hiltunen M, … Gut IG. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nature Genetics. 41(10):1094-1099, 2009. (Cited by 4396)

  2. Barrett JC, Hansoul S, Nicolae DL, Cho JH, Duerr RH, Rioux JD, Brant SR, … Gut IG. Genome-wide association defines more than 30 distinct susceptibility loci for Crohn’s disease. Nature Genetics. 40(8):955-962, 2008. (Cited by 3314)

  3. Alexandrov LB, Kim J, Haradhvala NJ, Huang MN, Tian Ng AW, Wu Y, … Gut IG. The repertoire of mutational signatures in human cancer. Nature. 578(7793):94-101, 2020. (Cited by 3096)

  4. Pan-cancer analysis of whole genomes. Nature. 578(7793):82-93, 2020. (Cited by 2707)

  5. Moffatt MF, Gut IG, Demenais F, Strachan DP, Bouzigon E, Heath S, … A large-scale, consortium-based genomewide association study of asthma. New England Journal of Medicine. 363(13):1211-1221, 2010. (Cited by 2519)

  6. Rhie A, McCarthy SA, Fedrigo O, Damas J, Formenti G, Koren S, … Gut IG. Towards complete and error-free genome assemblies of all vertebrate species. Nature. 592(7856):737-746, 2021. (Cited by 2443)

  7. International network of cancer genome projects. International Cancer Genome Consortium. Nature. 464(7291):993, 2010. (Cited by 2431)

  8. SEARCH Collaborative Group, Gut IG. SLCO1B1 Variants and Statin-Induced Myopathy — A Genomewide Study. New England Journal of Medicine. 359(8):789-799, 2008. (Cited by 2361)

  9. Lappalainen T, Sammeth M, Friedländer MR, ‘t Hoen PAC, Monlong J, … Gut IG. Transcriptome and genome sequencing uncovers functional variation in humans. Nature. 501(7468):506-511, 2013. (Cited by 2148)

  10. Moffatt MF, Kabesch M, Liang L, Dixon AL, Strachan D, Heath S, … Gut IG. Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma. Nature. 448(7152):470-473, 2007. (Cited by 2023)

  11. Puente XS, Pinyol M, Quesada V, Conde L, Ordóñez GR, Villamor N, … Gut IG. Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia. Nature. 475(7354):101-105, 2011. (Cited by 1980)

  12. Hung RJ, McKay JD, Gaborieau V, Boffetta P, Hashibe M, Zaridze D, … Gut IG. A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25. Nature. 452(7187):633-637, 2008. (Cited by 1514)

  13. Newton-Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, … Gut IG. Genome-wide association study identifies eight loci associated with blood pressure. Nature Genetics. 41(6):666-676, 2009. (Cited by 1465)

  14. Quesada V, Conde L, Villamor N, Ordóñez GR, Jares P, Bassaganyas L, … Gut IG. Exome sequencing identifies recurrent mutations of the splicing factor SF3B1 gene in chronic lymphocytic leukemia. Nature Genetics. 44(1):47-52, 2012. (Cited by 1306)

  15. Dixon AL, Liang L, Moffatt MF, Chen W, Heath S, Wong KCC, Taylor J, … Gut IG. A genome-wide association study of global gene expression. Nature Genetics. 39(10):1202-1207, 2007. (Cited by 1184)

  16. Puente XS, Beà S, Valdés-Mas R, Villamor N, Gutiérrez-Abril J, … Gut IG. Non-coding recurrent mutations in chronic lymphocytic leukaemia. Nature. 526(7574):519-524, 2015. (Cited by 1094)

  17. Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, … Gut IG. The evolutionary history of 2,658 cancers. Nature. 578(7793):122-128, 2020. (Cited by 1066)

  18. Prado-Martinez J, Sudmant PH, Kidd JM, Li H, Kelley JL, … Gut IG. Great ape genetic diversity and population history. Nature. 499(7459):471-475, 2013. (Cited by 1009)

  19. Heyn H, Li N, Ferreira HJ, Moran S, Pisano DG, Gomez A, Diez J, … Gut IG. Distinct DNA methylomes of newborns and centenarians. Proceedings of the National Academy of Sciences. 109(26):10522-10527, 2012. (Cited by 932)

  20. Tost J, Gut IG. DNA methylation analysis by pyrosequencing. Nature Protocols. 2(9):2265-2275, 2007. (Cited by 868)