Jayme Holmes

2.2k total citations
11 papers, 678 citations indexed

About

Jayme Holmes is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Jayme Holmes has authored 11 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 3 papers in Pharmacology. Recurrent topics in Jayme Holmes's work include Computational Drug Discovery Methods (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Jayme Holmes is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Jayme Holmes collaborates with scholars based in United States, Denmark and Sweden. Jayme Holmes's co-authors include Tudor I. Oprea, Jeremy J. Yang, Cristian Bologa, Oleg Ursu, Stephen L. Mathias, Jeffrey Knockel, Ðắc-Trung Nguyễn, Stuart J. Nelson, Giovanni Bocci and Stephan C. Schürer and has published in prestigious journals such as Nucleic Acids Research, Drug Discovery Today and Journal of the American Medical Informatics Association.

In The Last Decade

Jayme Holmes

10 papers receiving 671 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jayme Holmes United States	8	471	394	79	56	46	11	678
Vishal B. Siramshetty United States	16	443 0.9×	488 1.2×	108 1.4×	43 0.8×	67 1.5×	24	848
Xichen Lian China	10	507 1.1×	269 0.7×	100 1.3×	69 1.2×	60 1.3×	14	864
Tongan Zhao United States	9	337 0.7×	375 1.0×	62 0.8×	80 1.4×	48 1.0×	12	730
Sayaka Mizutani Japan	13	504 1.1×	272 0.7×	84 1.1×	35 0.6×	56 1.2×	26	769
Fangjin Chen China	10	431 0.9×	310 0.8×	75 0.9×	29 0.5×	58 1.3×	17	795
Francesco Napolitano Italy	15	515 1.1×	322 0.8×	30 0.4×	29 0.5×	43 0.9×	41	912
Xiaoxu Li China	7	707 1.5×	329 0.8×	188 2.4×	64 1.1×	106 2.3×	17	1.1k
Rachel Hodos United States	6	345 0.7×	263 0.7×	44 0.6×	39 0.7×	46 1.0×	8	574
Minjie Mou China	14	664 1.4×	284 0.7×	39 0.5×	46 0.8×	17 0.4×	30	941
Giovanni Bocci United States	11	400 0.8×	225 0.6×	57 0.7×	65 1.2×	44 1.0×	14	785

Countries citing papers authored by Jayme Holmes

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jayme Holmes

This figure shows the co-authorship network connecting the top 25 collaborators of Jayme Holmes. A scholar is included among the top collaborators of Jayme Holmes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jayme Holmes. Jayme Holmes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Vidović, D., Anna Waller, Jayme Holmes, Larry A. Sklar, & Stephan C. Schürer. (2024). Best practices for managing and disseminating resources and outreach and evaluating the impact of the IDG Consortium. Drug Discovery Today. 29(5). 103953–103953.

Oprea, Tudor I., Cristian Bologa, Jayme Holmes, et al.. (2024). Overview of the Knowledge Management Center for Illuminating the Druggable Genome. Drug Discovery Today. 29(3). 103882–103882. 5 indexed citations

Kelleher, Keith J., Timothy Sheils, Stephen L. Mathias, et al.. (2022). Pharos 2023: an integrated resource for the understudied human proteome. Nucleic Acids Research. 51(D1). D1405–D1416. 50 indexed citations

Kropiwnicki, Eryk, Jessica Binder, Jeremy J. Yang, et al.. (2022). Getting Started with the IDG KMC Datasets and Tools. Current Protocols. 2(1). e355–e355. 8 indexed citations

Avram, Sorin, Thomas B. Wilson, Ramona Curpăn, et al.. (2022). DrugCentral 2023 extends human clinical data and integrates veterinary drugs. Nucleic Acids Research. 51(D1). D1276–D1287. 45 indexed citations

Bocci, Giovanni, et al.. (2021). A machine learning platform to estimate anti-SARS-CoV-2 activities. Nature Machine Intelligence. 3(6). 527–535. 48 indexed citations

Sheils, Timothy, Stephen L. Mathias, Keith J. Kelleher, et al.. (2020). TCRD and Pharos 2021: mining the human proteome for disease biology. Nucleic Acids Research. 49(D1). D1334–D1346. 90 indexed citations

Avram, Sorin, Cristian Bologa, Jayme Holmes, et al.. (2020). DrugCentral 2021 supports drug discovery and repositioning. Nucleic Acids Research. 49(D1). D1160–D1169. 126 indexed citations

Ursu, Oleg, Jayme Holmes, Cristian Bologa, et al.. (2018). DrugCentral 2018: an update. Nucleic Acids Research. 47(D1). D963–D970. 98 indexed citations

10.

Nelson, Stuart J., Tudor I. Oprea, Oleg Ursu, et al.. (2017). Formalizing drug indications on the road to therapeutic intent. Journal of the American Medical Informatics Association. 24(6). 1169–1172. 6 indexed citations

11.

Ursu, Oleg, Jayme Holmes, Jeffrey Knockel, et al.. (2016). DrugCentral: online drug compendium. Nucleic Acids Research. 45(D1). D932–D939. 202 indexed citations

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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