Gary R. Klimpel
- Immunology top 0.5%
- Immune Response and Inflammation 34
- Immune Cell Function and Interaction 29
- T-cell and B-cell Immunology 19
- Immunotherapy and Immune Responses 15
- Hepatology top 1%
- Endocrinology top 1%
- Microbiology top 1%
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 11
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- Salmonella and Campylobacter epidemiology 9
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- Hematopoietic Stem Cell Transplantation 8
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- Yersinia bacterium, plague, ectoparasites research 7
- Co-authors
- David W. NieselChien‐Te K. TsengChristopher S. HenneyBrigitte DevauxJustin D. RadolfAntonios O. AliprantisMelanie R. MarkRuey‐Bing Yang
- Cited by
- ImmunologyHepatologyEndocrinology
- Partner nations
- United StatesFranceItaly
In The Last Decade
Gary R. Klimpel
110 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 3.1k
- Hepatology 675
- Endocrinology 390
- Microbiology 369
- Infectious Diseases 823
Countries citing papers authored by Gary R. Klimpel
This map shows the geographic impact of Gary R. Klimpel'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 Gary R. Klimpel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary R. Klimpel more than expected).
Fields of papers citing papers by Gary R. Klimpel
This network shows the impact of papers produced by Gary R. Klimpel. 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 Gary R. Klimpel. The network helps show where Gary R. Klimpel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gary R. Klimpel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 24 | |
| 2 | 2003 | 57 | |
| 3 | 2001 | 352 | |
| 4 | 2000 | 68 | |
| 5 | 2000 | 76 | |
| 6 | 1999 | 20 | |
| 7 | 1996 | 31 | |
| 8 | 1996 | 20 | |
| 9 | 1996 | 98 | |
| 10 | 1996 | 39 | |
| 11 | 1995 | 91 | |
| 12 | 1995 | 38 | |
| 13 | 1993 | 88 | |
| 14 | 1991 | 64 | |
| 15 | 1990 | 22 | |
| 16 | 1990 | 23 | |
| 17 | 1988 | 4 | |
| 18 | 1988 | 36 | |
| 19 | 1988 | 20 | |
| 20 | Protective immunization with B16 melanoma induces antibody response and not cytotoxic T cell response | 1986 | 1 |
About Gary R. Klimpel
Gary R. Klimpel is a scholar working on Immunology, Endocrinology and Hematology, having authored 110 papers that have together received 6.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (34 papers), Immune Cell Function and Interaction (29 papers), T-cell and B-cell Immunology (19 papers), Immunotherapy and Immune Responses (15 papers), Viral gastroenteritis research and epidemiology (11 papers), Salmonella and Campylobacter epidemiology (9 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Yersinia bacterium, plague, ectoparasites research (7 papers). The work is most often cited by research in Immunology (3.1k citations), Hepatology (675 citations) and Endocrinology (390 citations). Gary R. Klimpel has collaborated with scholars based in United States, France and Italy. Frequent co-authors include David W. Niesel, Chien‐Te K. Tseng, Christopher S. Henney, Brigitte Devaux, Justin D. Radolf, Antonios O. Aliprantis, Melanie R. Mark, Ruey‐Bing Yang, Arturo Zychlinsky and Paul J. Godowski. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.