Jim Kaufman

11.5k citations
139 papers · 8.1k indexed · 2 hit papers · h-index 47
Topics
T-cell and B-cell Immunology (90 papers)Immune Cell Function and Interaction (60 papers)Immunotherapy and Immune Responses (38 papers)

In The Last Decade

Jim Kaufman

135 papers receiving 7.8k citations

Hit Papers

Mice lacking MHC class II molecules198420261998201219911984250500750

Peers

Jim Kaufman
Comparison fields: 5 of 121
  • Immunology 5.6k
  • Molecular Biology 2.1k
  • Genetics 1.0k
  • Epidemiology 946
  • Radiology, Nuclear Medicine and Imaging 942
Replace L. William Clem with:
L. William Clem United States
Gregory W. Warr United States
Martin F. Flajnik United States
R. M. E. Parkhouse United Kingdom
Robert G. Urban United States
Claude–Agnès Reynaud France
Lynn M. Corcoran Australia
Daniel DiMaio United States
Pierre Boudinot France
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Jim Kaufman relative to L. William Clem United States L. William Clem's profile →
Citations per field
00.5×5.6×
L. William Clem · 1×
Citations per year

Countries citing papers authored by Jim Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Jim Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Kaufman. 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 Jim Kaufman. The network helps show where Jim Kaufman may publish in the future.

Co-authorship network of co-authors of Jim Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Kaufman. A scholar is included among the top collaborators of Jim Kaufman 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 Jim Kaufman. Jim Kaufman 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 3
2 0
3 1
4 5
5 13
6 13
7 4
8 44
9 13
10 69
11 69
12 87
13 67
14 179
15 119
16 0
17 55
18 25
19 61
20
Structural aspects of the products of the human major histocompatibility complex.
3

About Jim Kaufman

Jim Kaufman is a scholar working on Immunology, Microbiology and Radiology, Nuclear Medicine and Imaging, having authored 139 papers that have together received 8.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (90 papers), Immune Cell Function and Interaction (60 papers) and Immunotherapy and Immune Responses (38 papers). The work is most often cited by research in Immunology (5.6k citations), Microbiology (729 citations) and Animal Science and Zoology (757 citations). Jim Kaufman has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include J L Strominger, Alan J. Korman, Martin F. Flajnik, Jan Salomonsen, Jack L. Strominger, Deborah A. Shackelford, Stephan Beck, Louis Du Pasquier, Hans‐Joachim Wallny and Sarah Milne. Their work appears in journals such as Nature, Cell 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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