Jayme Holmes
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Biomedical Text Mining and Ontologies 3
- Bioinformatics and Genomic Networks 2
- vaccines and immunoinformatics approaches 2
- Genetics, Bioinformatics, and Biomedical Research 2
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- Computational Drug Discovery Methods 5
- Co-authors
- Tudor I. Oprea (10 shared papers)Jeremy J. Yang (10 shared papers)Cristian Bologa (9 shared papers)Oleg Ursu (4 shared papers)Stephen L. Mathias (6 shared papers)Jeffrey Knockel (3 shared papers)Stuart J. Nelson (2 shared papers)Ðắc-Trung Nguyễn (4 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Drug Discovery Today (2 papers)Journal of the American Medical Informatics Association (1 paper)Current Protocols (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United StatesDenmarkSweden
In The Last Decade
Jayme Holmes
11 papers receiving 733 citations
Peers
Comparison fields: 5 of 100
- Computational Theory and Mathematics 402
- Pharmacology 76
- Molecular Biology 445
- Toxicology 10
- Infectious Diseases 52
Countries citing papers authored by Jayme Holmes
This map shows the geographic impact of Jayme Holmes'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 Jayme Holmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayme Holmes more than expected).
Fields of papers citing papers by Jayme Holmes
This network shows the impact of papers produced by Jayme Holmes. 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 Jayme Holmes. The network helps show where Jayme Holmes may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayme Holmes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 226 | |
| 2 | 2020 | 132 | |
| 3 | 2018 | 104 | |
| 4 | 2020 | 96 | |
| 5 | 2022 | 58 | |
| 6 | 2022 | 52 | |
| 7 | 2021 | 51 | |
| 8 | 2022 | 9 | |
| 9 | 2017 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 1 |
About Jayme Holmes
Jayme Holmes is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Infectious Diseases and Genetics, having authored 11 papers that have together received 740 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Biomedical Text Mining and Ontologies (3 papers), Genomics and Rare Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), vaccines and immunoinformatics approaches (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (402 citations), Pharmacology (76 citations), Molecular Biology (445 citations), Toxicology (10 citations) and Infectious Diseases (52 citations). Jayme Holmes has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Tudor I. Oprea, Jeremy J. Yang, Cristian Bologa, Oleg Ursu, Stephen L. Mathias, Jeffrey Knockel, Stuart J. Nelson, Ðắc-Trung Nguyễn, Giovanni Bocci and Stephan C. Schürer. Their work appears in journals such as Nucleic Acids Research, Drug Discovery Today, Journal of the American Medical Informatics Association, Current Protocols and Nature Machine Intelligence.
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.