Brian C. Schaefer

5.4k citations
66 papers · 4.3k · h-index 33

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 17
    • Immune Response and Inflammation 14
    • Immunotherapy and Immune Responses 5
    • NF-κB Signaling Pathways 16

Brian C. Schaefer

65 papers receiving 4.2k citations

Peers

Brian C. Schaefer
Comparison fields: 5 of 117
  • Immunology 2.2k
  • Cancer Research 591
  • Oncology 975
  • Virology 133
  • Molecular Biology 1.4k
Replace Marc J. Servant with:
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Brian C. Schaefer relative to Marc J. Servant Canada Marc J. Servant's profile →
Citations per field
00.5×1.7×
Marc J. Servant · 1×
Citations per year

Countries citing papers authored by Brian C. Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Schaefer. 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 Brian C. Schaefer. The network helps show where Brian C. Schaefer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000364
2 2001331
3 1995283
4 2007266
5 2000224
6 1999202
7 2001199
8 2001196
9 2019180
10 2012168
11 2005142
12 1995133
13 2001133
14 2004104
15 199199
16 201399
17 200087
18 201287
19 199773
20 200665

About Brian C. Schaefer

Brian C. Schaefer is a scholar working on Immunology, Cancer Research, Molecular Biology, Epidemiology and Oncology, having authored 66 papers that have together received 4.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (17 papers), NF-κB Signaling Pathways (16 papers), Immune Response and Inflammation (14 papers), Viral-associated cancers and disorders (7 papers), Rabies epidemiology and control (6 papers), Autophagy in Disease and Therapy (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology (2.2k citations), Cancer Research (591 citations), Oncology (975 citations), Virology (133 citations) and Molecular Biology (1.4k citations). Brian C. Schaefer has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Philippa Marrack, John W. Kappler, Ross M. Kedl, David A. Hildeman, Samuel H. Speck, Tom Mitchell, Suman Paul, Jack L. Strominger, William A. Rees and Michele L. Schaefer. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Nature Immunology, Cellular Immunology and Journal of Virology.

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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