Benjamin A. Freiberg
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
Papers in
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- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
- Immune Response and Inflammation 1
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- Cell Adhesion Molecules Research 3
- Co-authors
- Hannah Kupfer (4 shared papers)Colin R. F. Monks (3 shared papers)Noah Sciaky (3 shared papers)A Kupfer (1 shared paper)Abraham Kupfer (5 shared papers)John W. Kappler (2 shared papers)Dennis M. Zaller (1 shared paper)John C. Cambier (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Immunology (1 paper)Nature (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Benjamin A. Freiberg
7 papers receiving 2.4k citations
Benjamin A. Freiberg's Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 1.8k
- Immunology and Allergy 337
- Biophysics 88
- Oncology 362
- Cell Biology 220
Countries citing papers authored by Benjamin A. Freiberg
This map shows the geographic impact of Benjamin A. Freiberg'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 Benjamin A. Freiberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin A. Freiberg more than expected).
Fields of papers citing papers by Benjamin A. Freiberg
This network shows the impact of papers produced by Benjamin A. Freiberg. 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 Benjamin A. Freiberg. The network helps show where Benjamin A. Freiberg may publish in the future.
Co-authors
The 20 scholars most cited alongside Benjamin A. Freiberg, 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 | Three-dimensional segregation of supramolecular activation clusters in T cells Hit paper breakdown → | 1998 | 1961 |
| 2 | 2002 | 286 | |
| 3 | 2001 | 96 | |
| 4 | 2005 | 29 | |
| 5 | 1999 | 21 | |
| 6 | Pillars article: Three-dimensional segregation of supramolecular activation clusters in T cells. Nature. 1998. 395: 82-86. | 2015 | 3 |
| 7 | 2015 | 2 |
About Benjamin A. Freiberg
Benjamin A. Freiberg is a scholar working on Immunology, Immunology and Allergy, Virology, Oncology and Infectious Diseases, having authored 7 papers that have together received 2.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Cell Adhesion Molecules Research (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (1 paper), HIV Research and Treatment (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (1.8k citations), Immunology and Allergy (337 citations), Biophysics (88 citations), Oncology (362 citations) and Cell Biology (220 citations). Benjamin A. Freiberg has collaborated with scholars based in United States and Germany. Frequent co-authors include Hannah Kupfer, Colin R. F. Monks, Noah Sciaky, A Kupfer, Abraham Kupfer, John W. Kappler, Dennis M. Zaller, John C. Cambier, Frances Crawford and Paul Lang. Their work appears in journals such as The Journal of Immunology, Science, Proceedings of the National Academy of Sciences, Nature Immunology and Nature.
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.