Gerald T. Nepom

21.9k citations
331 papers · 14.7k indexed · h-index 68
Topics
T-cell and B-cell Immunology (187 papers)Immune Cell Function and Interaction (132 papers)Diabetes and associated disorders (119 papers)

In The Last Decade

Gerald T. Nepom

329 papers receiving 14.2k citations

Peers

Gerald T. Nepom
Comparison fields: 5 of 136
  • Immunology 8.3k
  • Genetics 5.4k
  • Surgery 3.1k
  • Endocrinology, Diabetes and Metabolism 2.4k
  • Molecular Biology 2.1k
Replace Hugh O. McDevitt with:
Hugh O. McDevitt United States
Arne Svejgaard Denmark
Jane H. Buckner United States
William W. Kwok United States
Chella S. David United States
Erik Thorsby Norway
Fabienne Mackay Australia
Osami Kanagawa United States
Bo Dupont United States
Harald von Boehmer United States
Gerald T. Nepom relative to Hugh O. McDevitt United States Hugh O. McDevitt's profile →
Citations per field
00.5×2.7×
Hugh O. McDevitt · 1×
Citations per year

Countries citing papers authored by Gerald T. Nepom

Since Specialization
Citations

This map shows the geographic impact of Gerald T. Nepom'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 Gerald T. Nepom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald T. Nepom more than expected).

Fields of papers citing papers by Gerald T. Nepom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald T. Nepom. 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 Gerald T. Nepom. The network helps show where Gerald T. Nepom may publish in the future.

Co-authorship network of co-authors of Gerald T. Nepom

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald T. Nepom. A scholar is included among the top collaborators of Gerald T. Nepom 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 Gerald T. Nepom. Gerald T. Nepom 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 9
2 38
3 19
4 12
5 125
6 45
7 22
8 65
9
Functional inflammatory profiles distinguish myelin-reactive T cells from patients with multiple sclerosis
15
10 18
11 51
12 33
13 69
14 118
15 19
16 34
17 57
18 53
19 141
20 119

About Gerald T. Nepom

Gerald T. Nepom is a scholar working on Immunology, Genetics and Immunology and Allergy, having authored 331 papers that have together received 14.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (187 papers), Immune Cell Function and Interaction (132 papers) and Diabetes and associated disorders (119 papers). The work is most often cited by research in Immunology (8.3k citations), Genetics (5.4k citations) and Endocrinology, Diabetes and Metabolism (2.4k citations). Gerald T. Nepom has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include William W. Kwok, Barbara S. Nepom, Andrew W. Liu, Jane H. Buckner, Ben Falk, John A. Hansen, Erik J. Novak, Helena Reijonen, Patrick Concannon and Anette‐G. Ziegler. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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