Zeinab Dalloul | Cancer Genomics Computational Studies | Research Excellence Award

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. (n.d.). Computational Biologists Awards.
    https://computationalbiologists.com/

MadhuSudhana Saddala | Bioinformatics | Editorial Board Member

Editorial Board Member

MadhuSudhana Saddala
University of California
MadhuSudhana Saddala
Affiliation University of California
Country United States
Scopus ID 55806279600
Documents 39
Citations 611
h-index 17
Subject Area Bioinformatics
Event Computational Biologists Awards
ORCID 0000-0002-6373-7080

MadhuSudhana Saddala is identified in the supplied academic profile as a researcher associated with the University of California, with a stated subject area of bioinformatics. The profile records 39 documents, 611 citations, and an h-index of 17 in Scopus. These bibliometric indicators provide a quantitative overview of scholarly output and citation visibility and are presented here as profile-level information rather than as an independent assessment of research quality. [1]

Abstract

MadhuSudhana Saddala is presented as an academic researcher affiliated with the University of California and working within the field of bioinformatics. The supplied scholarly profile records 39 documents, 611 citations, and an h-index of 17 in Scopus. Bioinformatics integrates computational methods with biological data analysis to support research across genomics, molecular biology, and related disciplines. The available profile information indicates an established publication record and measurable citation activity. This article summarizes the supplied academic identifiers, research orientation, publication profile, bibliometric indicators, and potential relevance to recognition within computational biology, while avoiding unsupported claims about specific discoveries, appointments, or individual publications. [1]

Keywords

Bioinformatics, computational biology, biological data analysis, genomics, academic research, scientific publications, research impact, bibliometrics, computational biologists, scholarly communication. [1]

Introduction

Bioinformatics has become an important interdisciplinary field for managing, interpreting, and analyzing increasingly complex biological datasets. Computational approaches enable researchers to examine biological sequences, molecular interactions, genomic variation, and other forms of high-dimensional information. The discipline therefore connects biological investigation with statistics, computer science, and data-driven methodology. Saddala’s supplied profile identifies bioinformatics as the principal subject area, placing the researcher within this broader computational life-science context. [4]

Research Profile

The available profile information associates MadhuSudhana Saddala with the University of California and identifies bioinformatics as the principal subject area. The stated Scopus record comprises 39 documents, 611 citations, and an h-index of 17. Such metrics can be used to describe publication and citation patterns, although they should be interpreted alongside research quality, authorship contributions, venue characteristics, and disciplinary context. [1]

Research Contributions

Within bioinformatics, research contributions may involve computational analysis, biological data interpretation, development or application of analytical workflows, and integration of computational techniques with experimental knowledge. The supplied information does not provide a verified list of individual discoveries or methodologies attributable to Saddala. Accordingly, the profile is described in terms of its documented research field and bibliometric record rather than assigning specific scientific findings without supporting publication-level evidence. [4]

Publications

The supplied Scopus information records 39 documents associated with the researcher profile. Scopus provides bibliographic and citation information that can be used to examine a researcher’s publication history and scholarly visibility. A complete publication bibliography should be obtained directly from the author’s indexed profile or individual publisher records before making claims about particular titles, journals, co-authors, or research findings. [1]

Research Impact

The supplied citation count of 611 and h-index of 17 indicate measurable citation activity within the indexed scholarly record. Citation-based indicators can help summarize research visibility, but they do not independently establish the significance, originality, or practical influence of individual studies. For a balanced assessment, bibliometric indicators should be considered together with publication quality, contribution statements, research outcomes, and evidence of adoption by the scientific community. [1]

Award Suitability

Based on the supplied profile, the researcher’s stated specialization in bioinformatics and documented publication and citation indicators are relevant to an award program focused on computational biology. The profile may therefore provide a basis for consideration within the Computational Biologists Awards. Final award suitability should, however, be determined according to the event’s official eligibility requirements and an independent review of the nominee’s research record, contributions, publications, and supporting evidence. [5]

Conclusion

MadhuSudhana Saddala is presented in the supplied information as a University of California-affiliated researcher in bioinformatics, with a Scopus profile reporting 39 documents, 611 citations, and an h-index of 17. These indicators describe an indexed research record and provide a useful starting point for academic recognition. Further evaluation should rely on verified publications, documented contributions, and the formal criteria established by the Computational Biologists Awards program. [1]

References

  1. Elsevier. (n.d.). Scopus author details: MadhuSudhana Saddala, Author ID 55806279600. Scopus.
    https://www.scopus.com/pages/authors/55806279600
  2. ORCID. (n.d.). ORCID record: MadhuSudhana Saddala. ORCID.
    https://orcid.org/0000-0002-6373-7080
  3. Google Scholar. (n.d.). MadhuSudhana Saddala — Google Scholar profile.
    https://scholar.google.com/citations?user=0Xi63KQAAAAJ&hl=en
  4. Journal article. (2022.). Association of Placental Growth Factor and Angiopoietin in Human Retinal Endothelial Cell-Pericyte co-Cultures and iPSC-Derived Vascular Organoids.
    https://doi.org/10.1080/02713683.2022.2149808
  5. Computational Biologists Awards. (n.d.). Official award website.
    https://computationalbiologists.com/

NURTEN GÜLSÜM BAYRAK | Metagenomics | Best Scholar Award

Assoc. Prof. Dr. NURTEN GÜLSÜM BAYRAK | Metagenomics | Best Scholar Award

Giresun University | Turkey

Assoc. Prof. Dr. Nurten Gülsüm Bayrak is an accomplished Associate Professor in psychiatric nursing at Giresun University, with extensive expertise in mental health, child abuse, and psychosocial interventions. She earned her PhD in Nursing from Gazi University, focusing on a meta-analysis of child abuse, and holds advanced degrees in nursing and child development. With a strong academic and clinical background, she has contributed to numerous international peer-reviewed publications, particularly in psychiatric care, trauma, and patient well-being. Her research emphasizes evidence-based interventions, including meta-analyses and qualitative studies addressing vulnerable populations. In addition to her academic role, she has extensive clinical experience in psychiatric and emergency care, actively contributing to education, research, and community health advancement.

Citation Metrics (Scopus)

300
200
100
10
0

Citations
53

Documents
9

h-index
3

Citations

Documents

h-index


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