Zoltán Pós
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Mast cells and histamine
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 29
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 9
- Mast cells and histamine 8
- Co-authors
- Francesco M. MarincolaEna WangZhiya YuNicholas P. RestifoYun JiLuca GattinoniCarmine CarpenitoMáire F. Quigley
- Journals
- Journal of Translational Medicine (3 papers)FEBS Letters (2 papers)BMC Genomics (2 papers)Cellular and Molecular Life Sciences (2 papers)European Journal of Immunology (2 papers)
- Partner nations
- HungaryUnited StatesItaly
In The Last Decade
Zoltán Pós
36 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 1.5k
- Oncology 1.1k
- Virology 118
- Genetics 291
- Molecular Biology 642
Countries citing papers authored by Zoltán Pós
This map shows the geographic impact of Zoltán Pós'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 Zoltán Pós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoltán Pós more than expected).
Fields of papers citing papers by Zoltán Pós
This network shows the impact of papers produced by Zoltán Pós. 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 Zoltán Pós. The network helps show where Zoltán Pós may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zoltán Pós, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 8 | |
| 6 | 2016 | 4 | |
| 7 | 2014 | 5 | |
| 8 | 2013 | 3 | |
| 9 | 2013 | 24 | |
| 10 | 2012 | 14 | |
| 11 | 2011 | 18 | |
| 12 | 2011 | 151 | |
| 13 | 2010 | 15 | |
| 14 | 2009 | 62 | |
| 15 | 2009 | 17 | |
| 16 | 2008 | 16 | |
| 17 | 2008 | 50 | |
| 18 | 2008 | 12 | |
| 19 | 2001 | 66 | |
| 20 | 2000 | 12 |
About Zoltán Pós
Zoltán Pós is a scholar working on Immunology, Immunology and Allergy, Biological Psychiatry, Biotechnology and Oncology, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (9 papers), Mast cells and histamine (8 papers), Polyamine Metabolism and Applications (5 papers), Virus-based gene therapy research (3 papers), Cancer Research and Treatments (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.1k citations), Virology (118 citations), Genetics (291 citations) and Molecular Biology (642 citations). Zoltán Pós has collaborated with scholars based in Hungary, United States and Italy. Frequent co-authors include Francesco M. Marincola, Ena Wang, Zhiya Yu, Nicholas P. Restifo, Yun Ji, Luca Gattinoni, Carmine Carpenito, Máire F. Quigley, Mario Roederer and Enrico Lugli. Their work appears in journals such as Journal of Translational Medicine, FEBS Letters, BMC Genomics, Cellular and Molecular Life Sciences and European Journal of 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.