Eric Sebzda
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
- Immunology 19
- T-cell and B-cell Immunology 17
- Immune Cell Function and Interaction 1
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- Cell Adhesion Molecules Research 2
- Co-authors
- Pamela S. Ohashi (10 shared papers)Tak W. Mak (7 shared papers)Martin F. Bachmann (5 shared papers)Mark L. Kahn (6 shared papers)Toshiaki Ohteki (4 shared papers)John P. Mayer (2 shared papers)Valerie A. Wallace (1 shared paper)Rae S. M. Yeung (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)European Journal of Immunology (3 papers)Immunity (3 papers)Nature Immunology (2 papers)Developmental Cell (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Eric Sebzda
25 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 81
- Immunology 1.7k
- Immunology and Allergy 184
- Oncology 535
- Hematology 286
- Molecular Biology 699
Countries citing papers authored by Eric Sebzda
This map shows the geographic impact of Eric Sebzda'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 Eric Sebzda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Sebzda more than expected).
Fields of papers citing papers by Eric Sebzda
This network shows the impact of papers produced by Eric Sebzda. 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 Eric Sebzda. The network helps show where Eric Sebzda may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Sebzda, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 434 | |
| 2 | 1999 | 409 | |
| 3 | 2010 | 353 | |
| 4 | 2003 | 346 | |
| 5 | 1996 | 312 | |
| 6 | 2002 | 249 | |
| 7 | 2006 | 235 | |
| 8 | 2008 | 167 | |
| 9 | 1996 | 137 | |
| 10 | 1996 | 114 | |
| 11 | 2006 | 98 | |
| 12 | 1996 | 96 | |
| 13 | 2017 | 68 | |
| 14 | 2006 | 65 | |
| 15 | 2016 | 62 | |
| 16 | 2016 | 61 | |
| 17 | 2010 | 54 | |
| 18 | 2014 | 50 | |
| 19 | 1997 | 38 | |
| 20 | 2016 | 37 |
About Eric Sebzda
Eric Sebzda is a scholar working on Immunology, Immunology and Allergy, Oncology, Molecular Biology and Nuclear Energy and Engineering, having authored 25 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (17 papers), Lymphatic System and Diseases (2 papers), Kruppel-like factors research (2 papers), Cell Adhesion Molecules Research (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Chemokine receptors and signaling (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Immunology (1.7k citations), Immunology and Allergy (184 citations), Oncology (535 citations), Hematology (286 citations) and Molecular Biology (699 citations). Eric Sebzda has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Pamela S. Ohashi, Tak W. Mak, Martin F. Bachmann, Mark L. Kahn, Toshiaki Ohteki, John P. Mayer, Valerie A. Wallace, Rae S. M. Yeung, Russell G. Jones and Sanjeev Mariathasan. Their work appears in journals such as Proceedings of the National Academy of Sciences, European Journal of Immunology, Immunity, Nature Immunology and Developmental Cell.
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.