A Kupfer
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
Papers in
-
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 3
-
- Cell Adhesion Molecules Research 2
- Co-authors
- Sherwin J. SingerColin R. F. MonksHannah KupferNoah SciakyBenjamin A. FreibergSusan L. SwainDaniel LouvardCharles A. Janeway
- Journals
- Proceedings of the National Academy of Sciences (7 papers)The Journal of Experimental Medicine (2 papers)Annual Review of Immunology (2 papers)Nature (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
A Kupfer
13 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 2.4k
- Immunology and Allergy 680
- Cell Biology 872
- Biophysics 116
- Radiology, Nuclear Medicine and Imaging 457
Countries citing papers authored by A Kupfer
This map shows the geographic impact of A Kupfer'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 A Kupfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Kupfer more than expected).
Fields of papers citing papers by A Kupfer
This network shows the impact of papers produced by A Kupfer. 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 A Kupfer. The network helps show where A Kupfer may publish in the future.
Co-authors
The 11 scholars most cited alongside A Kupfer, 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 | 1946 |
| 2 | 1994 | 138 | |
| 3 | 1989 | 229 | |
| 4 | 1989 | 14 | |
| 5 | 1988 | 43 | |
| 6 | 1988 | 198 | |
| 7 | 1987 | 153 | |
| 8 | 1987 | 170 | |
| 9 | 1986 | 209 | |
| 10 | 1985 | 5 | |
| 11 | 1983 | 246 | |
| 12 | 1983 | 165 | |
| 13 | 1982 | 349 |
About A Kupfer
A Kupfer is a scholar working on Immunology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Virology and Cell Biology, having authored 13 papers that have together received 3.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Lipid Membrane Structure and Behavior (3 papers), Immune Cell Function and Interaction (3 papers), Glycosylation and Glycoproteins Research (2 papers), CAR-T cell therapy research (2 papers), Cell Adhesion Molecules Research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Immunology (2.4k citations), Immunology and Allergy (680 citations), Cell Biology (872 citations), Biophysics (116 citations) and Radiology, Nuclear Medicine and Imaging (457 citations). A Kupfer has collaborated with scholars based in United States and Germany. Frequent co-authors include Sherwin J. Singer, Colin R. F. Monks, Hannah Kupfer, Noah Sciaky, Benjamin A. Freiberg, Susan L. Swain, Daniel Louvard, Charles A. Janeway, Gunther Dennert and P Burn. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine, Annual Review of Immunology, Nature and Advances in experimental medicine and biology.
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.