Vilmos Posevitz
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 5
- interferon and immune responses 1
- Oncology 3
- CAR-T cell therapy research 2
- Co-authors
- Anita Posevitz‐Fejfár (2 shared papers)Daniel E. Speiser (3 shared papers)Pedro Romero (3 shared papers)Ton N. Schumacher (1 shared paper)Nathalie Rufer (1 shared paper)Olivier Michielin (1 shared paper)Raquel Gomez-Eerland (1 shared paper)Margot Thome (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Cancer Immunology Immunotherapy (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Seminars in Immunology (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Vilmos Posevitz
9 papers receiving 332 citations
Peers
Comparison fields: 5 of 48
- Immunology 233
- Oncology 175
- Neurology 11
- Molecular Biology 84
- Immunology and Allergy 7
Countries citing papers authored by Vilmos Posevitz
This map shows the geographic impact of Vilmos Posevitz'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 Vilmos Posevitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vilmos Posevitz more than expected).
Fields of papers citing papers by Vilmos Posevitz
This network shows the impact of papers produced by Vilmos Posevitz. 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 Vilmos Posevitz. The network helps show where Vilmos Posevitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Vilmos Posevitz, 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 | 2010 | 170 | |
| 2 | 2014 | 41 | |
| 3 | 2005 | 29 | |
| 4 | 2010 | 23 | |
| 5 | 2016 | 20 | |
| 6 | 2004 | 18 | |
| 7 | 2008 | 17 | |
| 8 | 2015 | 14 | |
| 9 | 2009 | 2 |
About Vilmos Posevitz
Vilmos Posevitz is a scholar working on Immunology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 9 papers that have together received 334 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (2 papers), interferon and immune responses (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), vaccines and immunoinformatics approaches (1 paper) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Immunology (233 citations), Oncology (175 citations), Neurology (11 citations), Molecular Biology (84 citations) and Immunology and Allergy (7 citations). Vilmos Posevitz has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Anita Posevitz‐Fejfár, Daniel E. Speiser, Pedro Romero, Ton N. Schumacher, Nathalie Rufer, Olivier Michielin, Raquel Gomez-Eerland, Margot Thome, Daphné A. Schmid and Melita Irving. Their work appears in journals such as The Journal of Immunology, Cancer Immunology Immunotherapy, Proceedings of the National Academy of Sciences, PLoS ONE and Seminars in 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.