Evan Beckman
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Physiology top 2%
Papers in
- Immunology 11
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 6
- Immune Response and Inflammation 5
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- Adenosine and Purinergic Signaling 2
- Co-authors
- Michael B. BrennerSteven A. PorcelliStephen T. FurlongCraig T. MoritaSamuel M. BeharRobert L. ModlinPeter A. SielingJean‐Pierre Rosat
- Journals
- The Journal of Immunology (3 papers)Alzheimer s & Dementia (1 paper)Current Opinion in Immunology (1 paper)Immunity (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Evan Beckman
16 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 2.1k
- Physiology 128
- Infectious Diseases 434
- Nephrology 107
- Epidemiology 515
Countries citing papers authored by Evan Beckman
This map shows the geographic impact of Evan Beckman'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 Evan Beckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Beckman more than expected).
Fields of papers citing papers by Evan Beckman
This network shows the impact of papers produced by Evan Beckman. 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 Evan Beckman. The network helps show where Evan Beckman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Evan Beckman, 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 | 2018 | 0 | |
| 2 | 2014 | 42 | |
| 3 | 2008 | 160 | |
| 4 | 2002 | 46 | |
| 5 | 2002 | 278 | |
| 6 | 2000 | 127 | |
| 7 | 1999 | 174 | |
| 8 | CD1-restricted microbial lipid antigen-specific recognition found in the CD8+ alpha beta T cell pool. | 1999 | 180 |
| 9 | 1998 | 6 | |
| 10 | 1997 | 382 | |
| 11 | 1996 | 186 | |
| 12 | 1996 | 39 | |
| 13 | 1995 | 45 | |
| 14 | 1995 | 406 | |
| 15 | 1995 | 79 | |
| 16 | Recognition of a lipid antigen by CD1-restricted αβ+ T cells Hit paper breakdown → | 1994 | 831 |
| 17 | 1993 | 15 |
About Evan Beckman
Evan Beckman is a scholar working on Immunology, Physiology, Nephrology, Virology and Rheumatology, having authored 17 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers), Immune Response and Inflammation (5 papers), Heart Failure Treatment and Management (3 papers), Acute Kidney Injury Research (3 papers), Adenosine and Purinergic Signaling (2 papers) and Muscle and Compartmental Disorders (1 paper). The work is most often cited by research in Immunology (2.1k citations), Physiology (128 citations), Infectious Diseases (434 citations), Nephrology (107 citations) and Epidemiology (515 citations). Evan Beckman has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Michael B. Brenner, Steven A. Porcelli, Stephen T. Furlong, Craig T. Morita, Samuel M. Behar, Robert L. Modlin, Peter A. Sieling, Jean‐Pierre Rosat, David E. Golan and Jack F. Bukowski. Their work appears in journals such as The Journal of Immunology, Alzheimer s & Dementia, Current Opinion in Immunology, Immunity and The Journal of Experimental 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.