Vahid Akmali | Computational Phylogenetics | Editorial Board Member

Published on by Computational Biologists

 

Editorial Board Member

Vahid Akmali
Razi University

Vahid Akmali
Affiliation Razi University
Country Iran
Scopus ID 54978642800
Documents 47
Citations 362
h-index 12
Subject area Computational Phylogenetics
Event Computational Biologists Awards
ORCID 0000-0001-8946-3527

Vahid Akmali is a researcher affiliated with Razi University in Iran whose supplied bibliometric profile identifies computational phylogenetics as his subject area. His publication record is reported as 47 documents, 362 citations, and an h-index of 12. These indicators provide a quantitative overview of the indexed research output and citation activity associated with the supplied Scopus author identifier. This article presents a structured overview of his research profile, the relevance of computational phylogenetics, and the potential relationship between his academic background and editorial or research recognition within the Computational Biologists Awards. [1]

Abstract

This article presents an academic profile of Vahid Akmali, affiliated with Razi University in Iran, with a stated research focus in computational phylogenetics. The supplied bibliometric information records 47 documents, 362 citations, and an h-index of 12 under Scopus author identifier 54978642800. His profile is considered in the context of computational biology, where computational and statistical methods support the analysis of evolutionary relationships and biological data. The article outlines the subject area’s significance, discusses publication and citation indicators, and considers potential relevance to editorial service and research recognition through the Computational Biologists Awards. Profile details should be interpreted alongside verified publications and institutional records.[2]

Keywords

Vahid Akmali; computational phylogenetics; computational biology; evolutionary analysis; phylogenetic inference; bioinformatics; research metrics; scientific publications; citation analysis; Razi University; editorial board; Computational Biologists Awards.[1]

Introduction

Computational biology combines computational techniques, mathematical modelling, and biological knowledge to investigate complex questions about living systems. Computational phylogenetics is an important area within this discipline because it uses biological data and analytical methods to infer evolutionary relationships among organisms, genes, or other biological entities. These methods can support comparative studies, evolutionary research, and the interpretation of molecular datasets. [2]

Research Profile

The supplied profile identifies Vahid Akmali with Razi University in Iran and lists computational phylogenetics as his subject area. His reported Scopus indicators comprise 47 documents, 362 citations, and an h-index of 12. These figures offer a snapshot of indexed scholarly output and citation activity, although they do not independently establish the quality, originality, or practical significance of individual studies. A comprehensive assessment would examine his verified publication titles, research questions, methods, co-authorship, and contributions to the development or application of computational approaches in biological research. [1]

Research Contributions

Computational phylogenetics draws on algorithms, evolutionary models, and sequence-based analyses to reconstruct relationships and investigate patterns of biological diversification. Work in this area may involve assessing alternative phylogenetic trees, comparing evolutionary hypotheses, evaluating model assumptions, and interpreting uncertainty in inferred relationships. These activities can contribute to broader research in genomics, molecular evolution, biodiversity, and comparative biology. The available profile information establishes a subject-area association but does not identify specific methods, discoveries, or publications attributable to Akmali; such contributions should therefore be described only after examining primary scholarly records.[2]

Publications

The supplied Scopus profile reports 47 documents associated with author identifier 54978642800. This document count provides a starting point for reviewing the researcher’s publication history, but it should not be treated as a verified list of individual works without consulting the author record. A publication-level review should confirm titles, co-authors, journal or conference details, publication dates, and persistent identifiers such as digital object identifiers (DOIs). No specific publication titles or DOI records have been supplied for this article, so individual papers are not listed here. [1]

Research Impact

The reported total of 362 citations and h-index of 12 offers a quantitative indication of the citation activity associated with the supplied Scopus profile. An h-index of 12 conventionally indicates that at least 12 indexed publications have each received at least 12 citations, provided that the underlying record and metric are accurate. Citation counts vary between databases and change over time, and they may be influenced by research-field practices, publication age, collaboration patterns, and database coverage. Accordingly, these metrics are best considered alongside qualitative assessments of methodological rigour, reproducibility, relevance, and documented scholarly contributions.[2]

Award Suitability

The Computational Biologists Awards provide a context for recognizing research and professional contributions related to computational biology. Akmali’s stated subject area and reported bibliometric indicators may be relevant to an initial profile review. However, the available information does not establish a confirmed award nomination, selection, or editorial appointment. A fair assessment of suitability would require verified publications, evidence of original contributions, documented professional service where applicable, and alignment with the relevant award criteria. Any recognition or editorial role should be presented as confirmed only when supported by an official announcement or reliable institutional documentation.[1]

Conclusion

Vahid Akmali’s supplied academic profile connects his affiliation with Razi University to the research area of computational phylogenetics. The reported 47 documents, 362 citations, and h-index of 12 provide a concise bibliometric overview, while the broader significance of his work requires examination of verified publications and their scientific contributions. Computational phylogenetics remains an important component of computational biology because it supports the study of evolutionary relationships through analytical methods. Maintaining accurate author identifiers, publication records, and independently verified information is essential when presenting researchers in academic profiles and award-related materials.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Vahid Akmali, Author ID 54978642800. Scopus. Author metrics and profile details should be checked against the live record.
    https://www.scopus.com/authid/detail.uri?authorId=54978642800
  2. Journal article(2023.)An Introduction to the Comparison Shape of some Cranial Structures in Boleophthalmus Dussumieri and Periophthalmus Waltoni (Teleostei: Oxudercidae) in the Persian Gulf: An Exploratory Analysis with Micro-CT Scanning
    https://doi.org/10.18502/fbt.v11i1.14510
  3. ORCID. (n.d.). Vahid Akmali researcher identifier. ORCID. 
    https://orcid.org/0000-0001-8946-3527

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/