Benjamin Wicks

426 citations
3 papers · 314 · h-index 3

Impact in

    • Gene Regulatory Network Analysis
    • Bioinformatics and Genomic Networks
    • Microbial Metabolic Engineering and Bioproduction
    • Computational Drug Discovery Methods
    • Formal Methods in Verification
    • Cellular Automata and Applications

Papers in

    • Pleistocene-Era Hominins and Archaeology 1
    • Gene Regulatory Network Analysis 2
    • Genomics and Chromatin Dynamics 1
    • Genomics and Phylogenetic Studies 1
    • Bioinformatics and Genomic Networks 1

Benjamin Wicks

3 papers receiving 312 citations

Peers

Benjamin Wicks
Comparison fields: 5 of 45
  • Molecular Biology 255
  • Computational Theory and Mathematics 41
  • Information Systems and Management 23
  • Health Informatics 5
  • Computational Mathematics 1
Replace Bryan Kowal with:
Bryan Kowal United States
Duncan Bérenguier Portugal
Falko Krause Germany
Pauline Traynard France
Sarubini Kananathan United Kingdom
Leandro H. Watanabe United States
John A. P. Sekar United States
Jignesh Bhate Canada
Charles E. McAnany United States
Vasundra Touré Norway
Benjamin Wicks relative to Bryan Kowal United States Bryan Kowal's profile →
Citations per field
00.5×1.5×
Bryan Kowal · 1×
Citations per year

Countries citing papers authored by Benjamin Wicks

Since Specialization
Citations

This map shows the geographic impact of Benjamin Wicks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benjamin Wicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Wicks more than expected).

Fields of papers citing papers by Benjamin Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Wicks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benjamin Wicks. The network helps show where Benjamin Wicks may publish in the future.

Co-authors

The 7 scholars most cited alongside Benjamin Wicks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Wicks Line = papers co-authored together Benjamin Wicks links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Benjamin Wicks

Benjamin Wicks is a scholar working on Anthropology, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 3 papers that have together received 314 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (2 papers), Genomics and Chromatin Dynamics (1 paper), Genomics and Phylogenetic Studies (1 paper), Pleistocene-Era Hominins and Archaeology (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Molecular Biology (255 citations), Computational Theory and Mathematics (41 citations), Information Systems and Management (23 citations), Health Informatics (5 citations) and Computational Mathematics (1 citation). Benjamin Wicks has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Thaine W. Rowley, Bryan Kowal, Tomáš Helikar, Jim A. Rogers, Mark Pauley, Chittibabu Guda and Matyas F. Cserhati. Their work appears in journals such as BMC Systems Biology and BMC Genomics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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