Éva Rajnavölgyi
- Immunology top 1%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 5%
- Epidemiology top 10%
- Co-authors
- Péter GogolákAttila SzabóBence RéthiIstván SzatmáriLászló NagyÁrpád LányiKerstin I. FalkBalázs Dezsö
- Topics
- Immunotherapy and Immune Responses (42 papers)Immune Cell Function and Interaction (38 papers)T-cell and B-cell Immunology (34 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Cell Biology
- 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
- Molecular Biology 1.8k
- Radiology, Nuclear Medicine and Imaging 513
- Oncology 471
- Epidemiology 432
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 of co-authors of Éva Rajnavölgyi
This figure shows the co-authorship network connecting the top 25 collaborators of Éva Rajnavölgyi. A scholar is included among the top collaborators of Éva Rajnavölgyi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éva Rajnavölgyi. Éva Rajnavölgyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 71 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | Collaboration of Toll-like and RIG-I-like receptors in human dendritic cells: tRIGgering antiviral innate immune responses. | 51 |
| 6 | 33 | |
| 7 | 22 | |
| 8 | 44 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | 17 | |
| 12 | 29 | |
| 13 | 58 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 131 | |
| 17 | 15 | |
| 18 | 17 | |
| 19 | 19 | |
| 20 | 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) and T-cell and B-cell Immunology (34 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.