Ewa Bryl
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Biological Psychiatry top 5%
Papers in
- Immunology 39
- T-cell and B-cell Immunology 20
- Immune Cell Function and Interaction 16
- Immunotherapy and Immune Responses 7
- Co-authors
- Jacek M. Witkowski (73 shared papers)Jörg J. Goronzy (8 shared papers)Cornelia M. Weyand (7 shared papers)Abbe N. Vallejo (4 shared papers)W. Michael O’Fallon (1 shared paper)Keith Naylor (1 shared paper)James W. Fulbright (1 shared paper)Guangjin Li (1 shared paper)
- Journals
- Artificial Organs (5 papers)Mechanisms of Ageing and Development (4 papers)Cytokine (3 papers)Experimental Gerontology (3 papers)Journal of Clinical Immunology (3 papers)
- Partner nations
- PolandUnited StatesCanada
In The Last Decade
Ewa Bryl
104 papers receiving 3.3k citations
Ewa Bryl's Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 1.5k
- Biological Psychiatry 71
- Rheumatology 421
- Aging 52
- Neurology 198
Countries citing papers authored by Ewa Bryl
This map shows the geographic impact of Ewa Bryl'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 Ewa Bryl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Bryl more than expected).
Fields of papers citing papers by Ewa Bryl
This network shows the impact of papers produced by Ewa Bryl. 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 Ewa Bryl. The network helps show where Ewa Bryl may publish in the future.
Co-authors
The 25 scholars most cited alongside Ewa Bryl, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Influence of Age on T Cell Generation and TCR Diversity Hit paper breakdown → | 2005 | 628 |
| 2 | 2000 | 393 | |
| 3 | 2001 | 224 | |
| 4 | 2003 | 184 | |
| 5 | 2015 | 166 | |
| 6 | 2005 | 117 | |
| 7 | 1998 | 95 | |
| 8 | 2002 | 76 | |
| 9 | 2019 | 67 | |
| 10 | 2007 | 66 | |
| 11 | 2004 | 55 | |
| 12 | 2002 | 48 | |
| 13 | 2004 | 47 | |
| 14 | 2011 | 47 | |
| 15 | 2013 | 46 | |
| 16 | 2005 | 43 | |
| 17 | 2010 | 43 | |
| 18 | 2001 | 41 | |
| 19 | 2010 | 39 | |
| 20 | 2022 | 39 |
About Ewa Bryl
Ewa Bryl is a scholar working on Immunology, Molecular Biology, Epidemiology, Rheumatology and Cell Biology, having authored 110 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (16 papers), Systemic Lupus Erythematosus Research (11 papers), Calpain Protease Function and Regulation (9 papers), Immunotherapy and Immune Responses (7 papers), Erythropoietin and Anemia Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). The work is most often cited by research in Immunology (1.5k citations), Biological Psychiatry (71 citations), Rheumatology (421 citations), Aging (52 citations) and Neurology (198 citations). Ewa Bryl has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Jacek M. Witkowski, Jörg J. Goronzy, Cornelia M. Weyand, Abbe N. Vallejo, W. Michael O’Fallon, Keith Naylor, James W. Fulbright, Guangjin Li, Won‐Woo Lee and Andrzej Myśliwski. Their work appears in journals such as Artificial Organs, Mechanisms of Ageing and Development, Cytokine, Experimental Gerontology and Journal of Clinical Immunology.
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.