Éva Rajnavölgyi
- Immunology top 1%
- Immunotherapy and Immune Responses 42
- Immune Cell Function and Interaction 38
- T-cell and B-cell Immunology 34
- Immune Response and Inflammation 21
- Biological Psychiatry top 5%
- Virology top 5%
- Immunology and Allergy top 5%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 9
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- Monoclonal and Polyclonal Antibodies Research 28
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- Influenza Virus Research Studies 10
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- Ocular Surface and Contact Lens 10
- Co-authors
- Péter GogolákAttila SzabóBence RéthiIstván SzatmáriLászló NagyÁrpád LányiKerstin I. FalkBalázs Dezsö
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Experimental Medicine (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- HungaryUnited StatesSweden
In The Last Decade
Éva Rajnavölgyi
152 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 129
- Immunology 2.0k
- Biological Psychiatry 131
- Virology 176
- Immunology and Allergy 170
- Molecular Biology 1.8k
Countries citing papers authored by Éva Rajnavölgyi
This map shows the geographic impact of Éva Rajnavölgyi'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 Éva Rajnavölgyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Rajnavölgyi more than expected).
Fields of papers citing papers by Éva Rajnavölgyi
This network shows the impact of papers produced by Éva Rajnavölgyi. 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 Éva Rajnavölgyi. The network helps show where Éva Rajnavölgyi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Éva Rajnavölgyi, 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 | 2018 | 19 | |
| 2 | 2017 | 71 | |
| 3 | 2017 | 10 | |
| 4 | 2015 | 8 | |
| 5 | Collaboration of Toll-like and RIG-I-like receptors in human dendritic cells: tRIGgering antiviral innate immune responses. | 2013 | 51 |
| 6 | 2013 | 33 | |
| 7 | 2013 | 22 | |
| 8 | 2012 | 44 | |
| 9 | 2012 | 16 | |
| 10 | 2011 | 2 | |
| 11 | 2011 | 17 | |
| 12 | 2011 | 29 | |
| 13 | 2006 | 58 | |
| 14 | 2006 | 9 | |
| 15 | 2005 | 6 | |
| 16 | 2004 | 131 | |
| 17 | 2004 | 15 | |
| 18 | 2003 | 17 | |
| 19 | 2000 | 19 | |
| 20 | 1998 | 29 |
About Éva Rajnavölgyi
Éva Rajnavölgyi is a scholar working on Immunology, Biological Psychiatry and Radiology, Nuclear Medicine and Imaging, having authored 153 papers that have together received 4.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (42 papers), Immune Cell Function and Interaction (38 papers), T-cell and B-cell Immunology (34 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Immune Response and Inflammation (21 papers), Influenza Virus Research Studies (10 papers), Ocular Surface and Contact Lens (10 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Immunology (2.0k citations), Biological Psychiatry (131 citations) and Virology (176 citations). Éva Rajnavölgyi has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include Péter Gogolák, Attila Szabó, Bence Réthi, István Szatmári, László Nagy, Árpád Lányi, Kerstin I. Falk, Balázs Dezsö, Judah Folkman and Ingemar Ernberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell 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.