Barry A. Bunin

1.8k citations
26 papers · 1.3k · h-index 17

Impact in

Papers in

Barry A. Bunin

26 papers receiving 1.2k citations

Peers

Barry A. Bunin
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 491
  • Organic Chemistry 439
  • Infectious Diseases 232
  • Molecular Biology 841
  • Pharmacology 87
Replace Daniel K. Gehlhaar with:
Daniel K. Gehlhaar United States
Andrea Zaliani Germany
Pierre Bonneau Canada
James E. Mills United Kingdom
Francesco Saverio Di Leva Italy
Ruth Brenk United Kingdom
Iris Antes Germany
Gopalakrishnan Bulusu India
Konrad Bleicher Switzerland
Maria Kontoyianni United States
Barry A. Bunin relative to Daniel K. Gehlhaar United States Daniel K. Gehlhaar's profile →
Citations per field
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Daniel K. Gehlhaar · 1×
Citations per year

Countries citing papers authored by Barry A. Bunin

Since Specialization
Citations

This map shows the geographic impact of Barry A. Bunin'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 Barry A. Bunin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry A. Bunin more than expected).

Fields of papers citing papers by Barry A. Bunin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barry A. Bunin. 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 Barry A. Bunin. The network helps show where Barry A. Bunin may publish in the future.

Co-authors

The 25 scholars most cited alongside Barry A. Bunin, 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 Barry A. Bunin Line = papers co-authored together Barry A. Bunin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992340
2 1994206
3 2009100
4 201381
5 201070
6 201068
7 201560
8 201057
9 201345
10 201330
11 201224
12 201320
13 201519
14 199618
15 199618
16 201016
17 201416
18 201414
19 201912
20
Chemoinformatics : theory, practice, & products
200710

About Barry A. Bunin

Barry A. Bunin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Pharmacology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Tuberculosis Research and Epidemiology (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers), Chemical Synthesis and Analysis (5 papers), Bioinformatics and Genomic Networks (4 papers), Click Chemistry and Applications (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (491 citations), Organic Chemistry (439 citations), Infectious Diseases (232 citations), Molecular Biology (841 citations) and Pharmacology (87 citations). Barry A. Bunin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan A. Ellman, Sean Ekins, Matthew J. Plunkett, Moses M. Hohman, Kelly Chibale, Peter J. Smith, Joel S. Freundlich, Robert C. Reynolds, Nadia K. Litterman and Eric Gifford. Their work appears in journals such as Drug Discovery Today, Pharmaceutical Research, Journal of the American Chemical Society, Molecular BioSystems and Journal of Chemical Information and Modeling.

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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