Saliha Rizvi | Systems Biology | Best Innovator Award

Published on by Computational Biologists

Best Innovator Award

Saliha Rizvi
Era University, India

Saliha Rizvi
Affiliation Era University
Country India
Scopus ID 7201786916
Documents 44
Citations 1,071
h-index 11
Subject Area Systems Biology
Event Computational Biologists Awards
ORCID 0000-0003-2191-7785

Saliha Rizvi is a researcher affiliated with Era University, India, whose academic profile is associated with the subject area of Systems Biology. The available bibliometric information records 44 documents, 1,071 citations, and an h-index of 11. These indicators provide a quantitative overview of research visibility and scholarly output and form part of the documented basis for considering the researcher for the Best Innovator Award at the Computational Biologists Awards. [1]

Abstract

Saliha Rizvi of Era University, India, is presented for recognition through the Best Innovator Award within the Computational Biologists Awards. Her documented academic profile identifies Systems Biology as a principal subject area and records 44 documents, 1,071 citations, and an h-index of 11. These bibliometric indicators provide measurable evidence of sustained scholarly activity and research visibility. The profile also includes a registered ORCID identifier and Scopus author record, supporting researcher identification across scholarly information systems. This article summarizes the available research profile, contributions, publication record, research impact, and suitability for innovation-oriented academic recognition based on documented information.

Keywords

Saliha Rizvi; Best Innovator Award; Computational Biology; Systems Biology; Era University; Research Innovation; Bibliometrics; Scientific Publications; Research Impact; Computational Biologists Awards.

Introduction

Systems Biology integrates computational, quantitative, and biological approaches to examine complex interactions within biological systems. Research in this area commonly depends on systematic analysis of data, models, and interconnected biological processes. Saliha Rizvi’s documented affiliation with Era University and subject-area classification in Systems Biology place her academic profile within this interdisciplinary research context. [1]

Research Profile

The available profile identifies Saliha Rizvi with Era University in India and associates her research record with Systems Biology. Scopus records 44 documents and 1,071 citations, with an h-index of 11. Together, these measures indicate a documented body of scholarly work and citation activity. The ORCID identifier 0000-0003-2191-7785 provides an additional persistent identifier for distinguishing the researcher within scholarly communication systems. [1]

Research Contributions

The documented contribution profile can be considered in relation to the research activity represented by 44 indexed documents and the broader Systems Biology subject area. These records suggest continued participation in scholarly research and dissemination. However, specific individual discoveries, datasets, computational methods, or named scientific findings are not supplied in the available profile and therefore are not attributed here without supporting publication-level evidence. [1]

Publications

The Scopus profile associated with author ID 7201786916 records 44 documents. This publication count provides a bibliometric measure of indexed scholarly output, although the supplied information does not identify individual article titles, journals, publication years, or article-level digital object identifiers. Consequently, this section describes the documented publication volume rather than attributing specific research findings to individual publications. [1]

Research Impact

The available bibliometric indicators show 1,071 citations and an h-index of 11. Citation counts can provide evidence of how frequently published work has been referenced within indexed scholarly literature, while the h-index combines publication and citation dimensions into a single metric. These measures should be interpreted alongside field, career stage, authorship, publication venue, and disciplinary practices when assessing overall research influence. [1]

Award Suitability

For the Best Innovator Award, the documented record provides several relevant indicators: an established institutional affiliation, a Systems Biology research classification, 44 indexed documents, 1,071 citations, and an h-index of 11. These measures demonstrate scholarly activity and visibility, while the award’s final assessment should additionally consider the originality, methodological significance, practical relevance, and demonstrable innovation of the candidate’s underlying research. [1]

Conclusion

Saliha Rizvi’s documented academic profile at Era University places her within the Systems Biology research domain and records a substantial indexed publication and citation footprint. The reported 44 documents, 1,071 citations, and h-index of 11 provide measurable indicators of scholarly activity and visibility. Within the Computational Biologists Awards, these documented characteristics provide a reasonable academic basis for consideration for the Best Innovator Award, subject to the award’s full evaluation criteria and verification procedures.

References

  1. Elsevier. (n.d.). Scopus author details: Saliha Rizvi, Author ID 7201786916. Scopus.
    https://www.scopus.com/pages/authors/7201786916
  2. Journal article Genetic modifiers of epilepsy (2025.). A narrative review.
    https://doi.org/10.1016/j.mcn.2025.104038
  3. Computational Biologists Awards. (2026. ). Computational Biologists Awards.
    https://computationalbiologists.com/

Hans-Kristian Lorenzo | Systems Biology | Best Review Paper Award

Published on by Computational Biologists

Best Review Paper Award

Hans-Kristian Lorenzo
Hôpital Paul Brousse, France

Hans-Kristian Lorenzo
Affiliation Hôpital Paul Brousse
Country France
Scopus ID 6603882722
Documents 33
Citations 6,451
h-index 18
Subject Area Systems Biology
Event Computational Biologists Awards
ORCID 0000-0002-7921-177X

Hans-Kristian Lorenzo is presented in this academic recognition profile in relation to the Best Review Paper Award at the Computational Biologists Awards. The supplied record identifies an affiliation with Hôpital Paul Brousse in France and a subject area in Systems Biology. Bibliographic indicators include 33 documents, 6,451 citations, and an h-index of 18. These indicators provide quantitative context for evaluating scholarly activity and visibility. [1]

Abstract

Hans-Kristian Lorenzo is profiled for consideration for the Best Review Paper Award within the Computational Biologists Awards. The supplied record identifies an affiliation with Hôpital Paul Brousse in France and a research area in Systems Biology. Bibliographic indicators include 33 documents, 6,451 citations, and an h-index of 18. These measures provide quantitative context for assessing scholarly visibility and research activity. The profile also records Scopus and ORCID identifiers, supporting researcher identification and bibliographic discovery. Award assessment may consider the nominated review paper’s evidence coverage, synthesis, methodological clarity, critical interpretation, originality, scientific relevance, and contribution to computational biology and systems-oriented research. [1]

Keywords

Best Review Paper Award; Hans-Kristian Lorenzo; Computational Biology; Systems Biology; Scientific Review; Research Recognition; Bibliometrics; Scholarly Impact; Hôpital Paul Brousse; Computational Biologists Awards.

Introduction

Review papers play an important role in organizing scientific evidence, identifying knowledge gaps, and establishing conceptual connections across research disciplines. In systems biology, review-based synthesis can integrate computational, biological, and quantitative perspectives for complex biological questions. [2] The Best Review Paper Award recognizes the importance of rigorous scholarly synthesis and its potential value to researchers and the wider scientific community.

Research Profile

Hans-Kristian Lorenzo is associated with Hôpital Paul Brousse in France and is identified within the supplied information under Systems Biology. The profile includes Scopus Author ID 6603882722 and ORCID 0000-0002-7921-177X, which support researcher disambiguation and bibliographic tracking. The supplied metrics report 33 documents, 6,451 citations, and an h-index of 18. [1]

Research Contributions

Research contributions in computational and systems biology frequently involve integrating findings from multiple biological and quantitative domains. A strong review contribution can organize dispersed evidence, identify methodological trends, evaluate competing interpretations, and establish directions for future investigation. For award assessment, the nominated work should therefore be examined for analytical depth, evidence quality, methodological transparency, originality, and scientific usefulness. [2]

Publications

The supplied Scopus information identifies 33 documents associated with Scopus Author ID 6603882722. A publication-level assessment should use the current indexed record and verified article metadata rather than infer publication titles or subjects. For the Best Review Paper Award, particular attention may be given to the nominated review’s literature coverage, organization, critical synthesis, methodological quality, and contribution to the understanding of systems biology and computational research. [1]

Research Impact

The supplied profile reports 6,451 citations and an h-index of 18, indicating notable bibliographic visibility within the provided record. Citation-based indicators can help contextualize research reach, but they should not independently determine scholarly quality. A balanced evaluation should also consider the intellectual contribution of the review, accuracy of synthesis, clarity of interpretation, relevance to current research, and influence on subsequent scientific work. [1]

Award Suitability

The supplied academic profile is relevant to consideration for a Best Review Paper Award because it identifies Systems Biology as the subject area and documents an established scholarly record. The final award decision should be based primarily on the nominated review paper, including its scientific rigor, synthesis of evidence, originality, relevance, methodological transparency, and contribution to computational biology. The researcher identifiers and bibliometric information provide supporting context for the recognition process. [1]

Conclusion

Hans-Kristian Lorenzo’s supplied profile presents a researcher affiliated with Hôpital Paul Brousse, France, with a Systems Biology subject classification and reported bibliographic indicators of 33 documents, 6,451 citations, and an h-index of 18. These data provide context for academic recognition, while assessment for the Best Review Paper Award should remain centered on the quality, originality, rigor, and scientific contribution of the nominated review work.

References

  1. Elsevier. (n.d.). Scopus author details: Hans-Kristian Lorenzo, Author ID 6603882722. Scopus.
    https://www.scopus.com/pages/authors/6603882722
  2. Journal article. (2025). Small Nucleolar RNAs as Emerging Players in Cancer Biology and Precision Medicine.
    https://doi.org/10.3390/cancers17233847
  3. Computational Biologists Awards. (2026). Official Award Website.
    https://computationalbiologists.com/

Romeo-Gabriel Mihaila | Systems Biology | Best Researcher Award

Published on by Computational Biologists

Prof.Romeo-Gabriel Mihaila | Systems Biology | Best Researcher Award

Head of Hematology Department at Lucian Blaga University of Sibiu, Romania.

Romeo-Gabriel Mihăilă is a Romanian physician, professor, and researcher specializing in internal medicine and hematology. He serves as Full Professor of Medical Semiology at “Lucian Blaga” University in Sibiu and heads the Hematology Department at the Emergency County Clinical Hospital Sibiu. With over 390 scientific publications, including many indexed in international databases, he has contributed significantly to research on chronic liver disease, hematologic malignancies, and cardiovascular pathology. Professor Mihăilă earned his medical degree from the Institute of Medicine and Pharmacy Cluj-Napoca and holds a PhD in Medical Sciences. He is a member of several professional societies, an editorial board member and reviewer for numerous journals, and has received multiple national and international awards recognizing his scientific and educational contributions.

🎓 Educational Background:

His academic journey began at the Institute of Medicine and Pharmacy Cluj-Napoca, where he graduated in 1988. He pursued specialization in internal medicine and hematology, complemented by advanced training in echography, digestive endoscopy, molecular medicine, and immunohistochemistry. He completed a PhD in Medical Sciences with magna cum laude honors in 2001, presenting research on the treatment of liver fibrosis. His education also includes international training, such as a clinical fellowship at Haut-Lévêque Hospital in Bordeaux, France.

Profile:

Professional Experience:

Spanning more than three decades, Prof. Mihăilă has held prominent roles in clinical practice, education, and research. He has been a senior specialist and professor since the early 2000s and played a leading role in shaping the academic programs at Lucian Blaga University. Between 2018 and 2022, he coordinated the Invasive and Non-Invasive Research Center for Cardiac and Vascular Pathology in Adults (CVASIC), demonstrating his dedication to interdisciplinary medical innovation. Additionally, he has contributed to the management and strategic direction of the hospital as Chairman of the Scientific Research Council.

🔬 Research Contributions:

Prof. Mihăilă’s scientific activity is prolific and internationally recognized. He has published 394 scientific articles, including over 80 indexed in the Web of Science Core Collection. His research spans hematology, hepatology, thrombosis, oncology, and recently, the application of machine learning in metabolic disorders. He has also co-authored an article in the prestigious New England Journal of Medicine and contributed chapters to several international books. Beyond publication, he has directed and participated in numerous national and international research projects and clinical trials, including multicenter phase III studies on chronic lymphocytic leukemia and anemia in cancer.

📚 Teaching and Mentorship:

A passionate educator, Prof. Mihăilă has taught generations of medical students, residents, and PhD candidates. He developed curricula in medical semiology and supervised doctoral dissertations while promoting high standards of clinical and scientific training. As a PhD supervisor and academic leader, he has shaped the next generation of Romanian clinicians and researchers.

🏆 Awards and Honors:

Throughout his career, Prof. Mihăilă has received numerous awards and distinctions. Among them are diplomas from Romanian medical institutions for his contributions to science, a Best Poster award at national congresses, and multiple prizes from the Romanian National Committee of Scientific Research for his published articles. His inclusion in Who’s Who in Medical Romania and Who’s Who in Science and Engineering further underscores his impact on the field.

🌍 Scientific Community Engagement:

Actively involved in the scientific community, Professor Mihăilă is a member of the European Federation of Internal Medicine, the Romanian Society of Internal Medicine, and the Romanian Society of Hematology. He has participated in numerous conferences, including European Hematology Association congresses, American Society of Hematology meetings, and EASL Symposia, often presenting original research. Additionally, he has organized and chaired many national and international medical events and served as an assessor of scientific works.

Publications:

  1. Cardiovascular Risk in Philadelphia-Negative Myeloproliferative Neoplasms: Mechanisms and Implications—A Narrative Review

  2. Diagnostic Values of Serum Inflammatory Biomarkers after Hip and Knee Arthroplasty in Patients with Periprosthetic Joint Infection

  3. Incidence of Subclinical Deep Vein Thrombosis after Total Hip and Knee Arthroplasty Is Not Correlated with Number of Tranexamic Acid Doses

  4. Challenges Associated with the Use of Bruton’s Tyrosine Kinase Inhibitors: A Life-Saving Therapy for Chronic Lymphocytic Leukemia (Review)

  5. Advances in the Treatment of Chronic Myeloid Leukemia

  6. Automated Machine Learning to Develop Predictive Models of Metabolic Syndrome in Patients with Periodontal Disease

  7. IL-1 Beta—A Biomarker for Ischemic Stroke Prognosis and Atherosclerotic Lesions of the Internal Carotid Artery

Yidnekachew Awraris | Systems Biology | Best Researcher Award

Published on by Computational Biologists

Dr. Yidnekachew Awraris | Systems Biology | Best Researcher Award

Assistant professor of biology education at Dilla college of education, Ethiopia.

Dr. Yidnekachew Awraris Kebede is an Assistant Professor of Biology Education at Dilla College of Teacher Education in Ethiopia and a Doctor of Education candidate at Hawassa University. He holds an MSc in Applied Microbiology and has over 20 years of experience in teaching and educational leadership. His research focuses on cooperative learning and science education, with publications in international journals such as Science Education International and SAGE Open. Fluent in Amharic and English, Dr. Yidnekachew is dedicated to improving biology instruction and fostering student achievement through innovative, learner-centered approaches.

🎓 Educational Background:

Dr. Yidnekachew Awraris Kebede began his formal education at Rabel Elementary School, where he studied from 1988 to 1995. He continued his secondary education at Mehalmeda Preparatory and Secondary School between 1996 and 1999 Ethiopian Calendar. Pursuing his passion for science, he enrolled at Debreberhan University, earning a Bachelor of Education degree in Biology from 2000 to 2002 EC. He advanced his studies at Hawassa University, where he completed a Master of Science degree in Applied Microbiology between 2007 and 2009 EC. Demonstrating a commitment to continuous professional growth, he is currently a Doctor of Education candidate in Biology at Hawassa University, with studies spanning from 2021 to 2025. In addition to his academic degrees, Dr. Yidnekachew holds a Higher Diploma License in Education from Dilla University, further strengthening his expertise in teaching and educational practice.

Profile:

Professional Experience:

Dr. Yidnekachew began his career as a Biology Teacher and Head of the Biology Department at Bilate Tena Secondary School, where he served from September 2003 to November 2005 EC. He then joined Dilla College of Teacher Education, contributing as a Lecturer and Mathematics and Natural Science Stream Officer from 2005 to 2013 EC. His dedication and expertise led to his current role as an Assistant Professor of Biology Education at Dilla College of Teacher Education, where he mentors aspiring educators and advances the field of biology education.

Skills and Competencies:

In addition to his academic qualifications, Dr. Yidnekachew is proficient in computer applications, including MS Word, MS Excel, and MS Access. His technological skills support his research activities, teaching, and administrative responsibilities, ensuring effective delivery of educational content and management of academic records.

Interests and Hobbies:

Beyond his professional life, Dr. Yidnekachew enjoys reading books, magazines, and newspapers, keeping himself informed about developments in science and society. He is also passionate about watching movies and soccer. Additionally, he participates actively in charity work, reflecting his commitment to community service and social responsibility.

Publications:

  • Unlocking the Power of Togetherness: Exploring the Impact of Cooperative Learning on Peer Relationships, Academic Support, and Gains in Secondary School Biology in Gedeo Zone
    YA Kebede, FK Zema, GM Geletu, SA Zinabu
    Science Education International, 2024

  • Cooperative Learning Instructional Approach and Student’s Biology Achievement: A Quasi-Experimental Evaluation of Jigsaw Cooperative Learning Model in Secondary Schools in Ethiopia
    YA Kebede, FK Zema, GM Geletu, SA Zinabu
    SAGE Open, 2025

  • Misconceptions as a Barrier to Understanding Biological Science Lessons: A Systematic Review of Pertinent Studies
    GM Geeltu
    Ethiopian Journal of Education Studies, 2023

  • Effects of Cooperative Learning on the Academic Achievement and Attitude Towards Cooperative Learning: The Case of Dilla College of Teacher Education First Year Mathematics Students
    YAKS ZB Tademe Zula Biramo
    Dilla Journal of Education, 2022