Jason DeVoss
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
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- Adrenal Hormones and Disorders
Papers in
- Immunology 27
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 8
- Immune Response and Inflammation 5
- Co-authors
- Mark S. Anderson (12 shared papers)Lauri Diehl (6 shared papers)Kellsey Johannes (9 shared papers)Howard Y. Chang (3 shared papers)Ivan Peng (6 shared papers)Maureen A. Su (4 shared papers)Rajkumar Noubade (3 shared papers)James M. Gardner (2 shared papers)
- Journals
- The Journal of Immunology (9 papers)The Journal of Experimental Medicine (4 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Immunology Immunotherapy (2 papers)Veterinary Pathology (2 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Jason DeVoss
49 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 114
- Immunology 1.7k
- Endocrinology, Diabetes and Metabolism 421
- Neurology 196
- Genetics 480
- Oncology 376
Countries citing papers authored by Jason DeVoss
This map shows the geographic impact of Jason DeVoss'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 Jason DeVoss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason DeVoss more than expected).
Fields of papers citing papers by Jason DeVoss
This network shows the impact of papers produced by Jason DeVoss. 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 Jason DeVoss. The network helps show where Jason DeVoss may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason DeVoss, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 362 | |
| 2 | 2014 | 288 | |
| 3 | 2006 | 217 | |
| 4 | 2013 | 207 | |
| 5 | 2014 | 190 | |
| 6 | 2015 | 154 | |
| 7 | 2013 | 141 | |
| 8 | 2008 | 118 | |
| 9 | 2003 | 108 | |
| 10 | 2015 | 102 | |
| 11 | 2012 | 90 | |
| 12 | 2018 | 87 | |
| 13 | 2017 | 85 | |
| 14 | 2021 | 78 | |
| 15 | 2019 | 72 | |
| 16 | 2017 | 69 | |
| 17 | 2008 | 69 | |
| 18 | 2013 | 63 | |
| 19 | 2010 | 61 | |
| 20 | 2002 | 60 |
About Jason DeVoss
Jason DeVoss is a scholar working on Immunology, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 50 papers that have together received 3.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (8 papers), Adrenal Hormones and Disorders (8 papers), Immune Response and Inflammation (5 papers), Diabetes and associated disorders (4 papers), CAR-T cell therapy research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (1.7k citations), Endocrinology, Diabetes and Metabolism (421 citations), Neurology (196 citations), Genetics (480 citations) and Oncology (376 citations). Jason DeVoss has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Mark S. Anderson, Lauri Diehl, Kellsey Johannes, Howard Y. Chang, Ivan Peng, Maureen A. Su, Rajkumar Noubade, James M. Gardner, Wen Lu and Justin Lesch. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Cancer Immunology Immunotherapy and Veterinary Pathology.
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.