John A. Gebe
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunology and Allergy top 5%
Papers in
- Immunology 26
- T-cell and B-cell Immunology 17
- Immune Cell Function and Interaction 16
- Immunotherapy and Immune Responses 10
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- DNA and Nucleic Acid Chemistry 6
- Co-authors
- Gerald T. Nepom (22 shared papers)William W. Kwok (14 shared papers)J. Michael Schurr (10 shared papers)Ben Falk (11 shared papers)Alejandro Aruffo (5 shared papers)Andrew W. Liu (4 shared papers)Jane H. Buckner (5 shared papers)Betty B. Yue (7 shared papers)
- Journals
- Biopolymers (6 papers)The Journal of Immunology (5 papers)Journal of Autoimmunity (3 papers)Cell Transplantation (3 papers)Immunology (2 papers)
- Partner nations
- United StatesSwedenJapan
In The Last Decade
John A. Gebe
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 108
- Immunology 945
- Immunology and Allergy 157
- Rheumatology 228
- Cell Biology 225
- Radiology, Nuclear Medicine and Imaging 246
Countries citing papers authored by John A. Gebe
This map shows the geographic impact of John A. Gebe'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 John A. Gebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Gebe more than expected).
Fields of papers citing papers by John A. Gebe
This network shows the impact of papers produced by John A. Gebe. 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 John A. Gebe. The network helps show where John A. Gebe may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Gebe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 158 | |
| 2 | 1997 | 127 | |
| 3 | 2011 | 124 | |
| 4 | 2011 | 120 | |
| 5 | 2001 | 118 | |
| 6 | 2000 | 105 | |
| 7 | 1997 | 91 | |
| 8 | 2002 | 60 | |
| 9 | 2015 | 60 | |
| 10 | 2010 | 59 | |
| 11 | 1996 | 58 | |
| 12 | 2000 | 57 | |
| 13 | 2003 | 56 | |
| 14 | 1995 | 51 | |
| 15 | 2002 | 50 | |
| 16 | 2001 | 50 | |
| 17 | 2018 | 43 | |
| 18 | 2020 | 43 | |
| 19 | 2000 | 40 | |
| 20 | 2009 | 39 |
About John A. Gebe
John A. Gebe is a scholar working on Immunology, Molecular Biology, Genetics, Surgery and Cell Biology, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (16 papers), Diabetes and associated disorders (13 papers), Immunotherapy and Immune Responses (10 papers), Pancreatic function and diabetes (8 papers), Proteoglycans and glycosaminoglycans research (8 papers), DNA and Nucleic Acid Chemistry (6 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Immunology (945 citations), Immunology and Allergy (157 citations), Rheumatology (228 citations), Cell Biology (225 citations) and Radiology, Nuclear Medicine and Imaging (246 citations). John A. Gebe has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Gerald T. Nepom, William W. Kwok, J. Michael Schurr, Ben Falk, Alejandro Aruffo, Andrew W. Liu, Jane H. Buckner, Betty B. Yue, Erik J. Novak and David M. Koelle. Their work appears in journals such as Biopolymers, The Journal of Immunology, Journal of Autoimmunity, Cell Transplantation and Immunology.
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.