Peter Borgulya
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Oncology top 10%
- CAR-T cell therapy research
Papers in
-
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 1
- Oncology 6
- CAR-T cell therapy research 6
- Co-authors
- Harald von Boehmer (9 shared papers)Hiroyuki Kishi (6 shared papers)Yasushi Uematsu (2 shared papers)Paul Krimpenfort (1 shared paper)Zlatko Dembić (1 shared paper)Anton Berns (1 shared paper)Michael Steinmetz (1 shared paper)Stefan Ryser (1 shared paper)
- Journals
- The EMBO Journal (2 papers)Immunological Reviews (2 papers)Cell (2 papers)Journal of Immunology Research (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- SwitzerlandPolandCanada
In The Last Decade
Peter Borgulya
9 papers receiving 977 citations
Peers
Comparison fields: 5 of 55
- Immunology 883
- Oncology 280
- Radiology, Nuclear Medicine and Imaging 157
- Immunology and Allergy 24
- Biotechnology 32
Countries citing papers authored by Peter Borgulya
This map shows the geographic impact of Peter Borgulya'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 Borgulya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Borgulya more than expected).
Fields of papers citing papers by Peter Borgulya
This network shows the impact of papers produced by Peter Borgulya. 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 Borgulya. The network helps show where Peter Borgulya may publish in the future.
Co-authors
The 22 scholars most cited alongside Peter Borgulya, 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 | 1988 | 316 | |
| 2 | 1992 | 295 | |
| 3 | 1991 | 127 | |
| 4 | 1991 | 106 | |
| 5 | 1989 | 78 | |
| 6 | 1988 | 34 | |
| 7 | 1989 | 26 | |
| 8 | 1989 | 9 | |
| 9 | Control of T-cell development by the TCR alpha beta for antigen. | 1989 | 4 |
About Peter Borgulya
Peter Borgulya is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Biotechnology, having authored 9 papers that have together received 995 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Mechanisms and Therapy (1 paper), Immunotherapy and Immune Responses (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Immunology (883 citations), Oncology (280 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Immunology and Allergy (24 citations) and Biotechnology (32 citations). Peter Borgulya has collaborated with scholars based in Switzerland, Poland and Canada. Frequent co-authors include Harald von Boehmer, Hiroyuki Kishi, Yasushi Uematsu, Paul Krimpenfort, Zlatko Dembić, Anton Berns, Michael Steinmetz, Stefan Ryser, Urs Müller and Jörg Kirberg. Their work appears in journals such as The EMBO Journal, Immunological Reviews, Cell, Journal of Immunology Research and Cold Spring Harbor Symposia on Quantitative 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.