Peter Brams
Impact in
-
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Mast cells and histamine
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 2
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Mogens H. Claësson (2 shared papers)Ivor Royston (5 shared papers)Guanghua Li (1 shared paper)Robert L. Shields (1 shared paper)Jonathan A. Pachter (1 shared paper)Xiaoying Wang (1 shared paper)Leonard G. Presta (1 shared paper)Yaolin Wang (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Human Antibodies (2 papers)Molecular Medicine (1 paper)International Immunopharmacology (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesDenmarkLebanon
In The Last Decade
Peter Brams
17 papers receiving 334 citations
Peers
Comparison fields: 5 of 41
- Immunology 91
- Endocrinology, Diabetes and Metabolism 73
- Radiology, Nuclear Medicine and Imaging 88
- Immunology and Allergy 16
- Reproductive Medicine 14
Countries citing papers authored by Peter Brams
This map shows the geographic impact of Peter Brams'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 Peter Brams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Brams more than expected).
Fields of papers citing papers by Peter Brams
This network shows the impact of papers produced by Peter Brams. 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 Peter Brams. The network helps show where Peter Brams may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Brams, 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 | 2005 | 149 | |
| 2 | 2000 | 44 | |
| 3 | 2001 | 35 | |
| 4 | 2018 | 31 | |
| 5 | T-cell activation. I. Evidence for a functional linkage between class I MHC antigens and the Tc-Ti complex. | 1989 | 24 |
| 6 | 1991 | 15 | |
| 7 | 1998 | 14 | |
| 8 | 1998 | 11 | |
| 9 | 1993 | 9 | |
| 10 | 1999 | 7 | |
| 11 | 1987 | 6 | |
| 12 | 1993 | 6 | |
| 13 | 1999 | 6 | |
| 14 | 1987 | 5 | |
| 15 | 1990 | 5 | |
| 16 | 1993 | 4 | |
| 17 | 1985 | 1 |
About Peter Brams
Peter Brams is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 17 papers that have together received 372 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), T-cell and B-cell Immunology (6 papers), Respiratory viral infections research (2 papers), Immunotherapy and Immune Responses (2 papers), Growth Hormone and Insulin-like Growth Factors (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Immunology (91 citations), Endocrinology, Diabetes and Metabolism (73 citations), Radiology, Nuclear Medicine and Imaging (88 citations), Immunology and Allergy (16 citations) and Reproductive Medicine (14 citations). Peter Brams has collaborated with scholars based in United States, Denmark and Lebanon. Frequent co-authors include Mogens H. Claësson, Ivor Royston, Guanghua Li, Robert L. Shields, Jonathan A. Pachter, Xiaoying Wang, Leonard G. Presta, Yaolin Wang, Susan Cannon‐Carlson and Wai Lam W. Ling. Their work appears in journals such as The Journal of Immunology, Human Antibodies, Molecular Medicine, International Immunopharmacology and Molecular Cancer Therapeutics.
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.