James R. Gavin

3.7k citations
75 papers · 2.3k indexed · 1 hit paper · h-index 25

James R. Gavin

74 papers receiving 2.2k citations

Hit Papers

Race and Genetic Ancestry in Medicine — A Time for Reckon...20212026202220242021100200300

Peers

James R. Gavin
Comparison fields: 5 of 140
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Molecular Biology 430
  • Surgery 401
  • Genetics 371
  • Physiology 340
Replace Rüdiger Landgraf with:
Rüdiger Landgraf Germany
Charles M. Clark United States
Srikanth Bellary United Kingdom
Davide Carvalho Portugal
Soon Jib Yoo South Korea
Mark R. Burge United States
Marcos Antônio Tambascia Brazil
Bernard Zinman Canada
Seymour R. Levin United States
Wing Yee So Hong Kong
James R. Gavin relative to Rüdiger Landgraf Germany Rüdiger Landgraf's profile →
Citations per field
00.5×1.5×
Rüdiger Landgraf · 1×
Citations per year

Countries citing papers authored by James R. Gavin

Since Specialization
Citations

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

Fields of papers citing papers by James R. Gavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James R. Gavin

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Gavin. A scholar is included among the top collaborators of James R. Gavin 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 James R. Gavin. James R. Gavin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 14
3 19
4 10
5 81
6 16
7 33
8 5
9 6
10 66
11 37
12 3
13 3
14 37
15 202
16 2
17 12
18 16
19 80
20 9

About James R. Gavin

James R. Gavin is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Clinical Biochemistry, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (31 papers), Diabetes Treatment and Management (28 papers) and Pancreatic function and diabetes (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Pharmacy (66 citations) and Genetics (371 citations). James R. Gavin has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Joseph Levy, Richard M. Bergenstal, William H. Daughaday, Davida Kruger, Ronald L. Gingerich, Susan Grandy, Kathleen M. Fox, Elena Fuentes‐Afflick, David S. Wilkes and Nirav R. Bhakta. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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