James B. Dunbar

5.0k citations
58 papers · 3.5k indexed · h-index 34

James B. Dunbar

58 papers receiving 3.4k citations

Peers

James B. Dunbar
Comparison fields: 5 of 142
  • Computational Theory and Mathematics 1.0k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Molecular Biology 2.4k
  • Immunology 567
  • Organic Chemistry 564
Replace Herman van Vlijmen with:
Herman van Vlijmen Belgium
David Gfeller Switzerland
Bruno E. Correia Switzerland
Daniel A. Erlanson United States
Lynn F. Ten Eyck United States
Gennady M. Verkhivker United States
Paul Czodrowski Germany
Jaime Prilusky Israel
David W. Ritchie France
Enrique E. Abola United States
James B. Dunbar relative to Herman van Vlijmen Belgium Herman van Vlijmen's profile →
Citations per field
00.5×4.3×
Herman van Vlijmen · 1×
Citations per year

Countries citing papers authored by James B. Dunbar

Since Specialization
Citations

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

Fields of papers citing papers by James B. Dunbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James B. Dunbar. 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 James B. Dunbar. The network helps show where James B. Dunbar may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 201839
3 2016159
4 2016118
5 201619
6 201423
7 20114
8 200959
9 200353
10 200334
11 200020
12 199575
13 199432
14 199233
15 19928
16 199242
17 199143
18 199134
19 198758
20
Extinct Bison Kill Site, Jefferson County, Florida
19832

About James B. Dunbar

James B. Dunbar is a scholar working on Computational Theory and Mathematics, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Glycosylation and Glycoproteins Research (9 papers), Protein Structure and Dynamics (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Analytical Chemistry and Chromatography (5 papers), vaccines and immunoinformatics approaches (4 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Molecular Biology (2.4k citations). James B. Dunbar has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Charlotte M. Deane, Heather A. Carlson, Garland R. Marshall, Jiye Shi, Richard D. Smith, Guy Georges, Jinwoo Leem, Angelika Fuchs, Jeanne A. Stuckey and Konrad Krawczyk. Their work appears in journals such as Nature, The Lancet and Journal of the American Chemical Society.

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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