Vilmos Posevitz
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 10%
- CAR-T cell therapy research
- Polyomavirus and related diseases
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 6
- Complement system in diseases 1
- Oncology 4
- CAR-T cell therapy research 2
- Polyomavirus and related diseases 1
- Co-authors
- Anita Posevitz‐Fejfár (2 shared papers)Pedro J. Romero (3 shared papers)Daniel E. Speiser (3 shared papers)Vincent Zoete (1 shared paper)Michaël Hebeisen (1 shared paper)Olivier Alain Michielin (1 shared paper)Raquel Gomez-Eerland (1 shared paper)Ton N. Schumacher (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Science Translational Medicine (1 paper)Molecular and Cellular Biology (1 paper)Neurology (1 paper)Cancer Immunology Immunotherapy (1 paper)
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
Vilmos Posevitz
11 papers receiving 594 citations
Peers
Comparison fields: 5 of 63
- Immunology 291
- Oncology 283
- Pathology and Forensic Medicine 117
- Neurology 30
- Molecular Biology 144
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 | 194 | |
| 2 | 2019 | 118 | |
| 3 | 2013 | 117 | |
| 4 | 2014 | 46 | |
| 5 | 2005 | 30 | |
| 6 | 2010 | 25 | |
| 7 | 2016 | 25 | |
| 8 | 2004 | 18 | |
| 9 | 2008 | 17 | |
| 10 | 2015 | 14 | |
| 11 | 2009 | 2 |
About Vilmos Posevitz
Vilmos Posevitz is a scholar working on Immunology, Oncology, Neurology, Pathology and Forensic Medicine and Molecular Biology, having authored 11 papers that have together received 606 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (2 papers), Multiple Sclerosis Research Studies (1 paper), Complement system in diseases (1 paper), vaccines and immunoinformatics approaches (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Immunology (291 citations), Oncology (283 citations), Pathology and Forensic Medicine (117 citations), Neurology (30 citations) and Molecular Biology (144 citations). Vilmos Posevitz has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Anita Posevitz‐Fejfár, Pedro J. Romero, Daniel E. Speiser, Vincent Zoete, Michaël Hebeisen, Olivier Alain Michielin, Raquel Gomez-Eerland, Ton N. Schumacher, Daphné A. Schmid and Margot Thome. Their work appears in journals such as The Journal of Immunology, Science Translational Medicine, Molecular and Cellular Biology, Neurology and Cancer Immunology Immunotherapy.
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.