Jonathan Pol
Impact in
- Oncology top 1%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 36
- CAR-T cell therapy research 22
- Cancer Immunotherapy and Biomarkers 13
- Immunology 33
- Immunotherapy and Immune Responses 23
- Immune Cell Function and Interaction 9
- Co-authors
- Guido Kroemer (56 shared papers)Lorenzo Galluzzi (12 shared papers)Laurence Zitvogel (19 shared papers)Brian D. Lichty (14 shared papers)Shashi Gujar (7 shared papers)Sarah Lévesque (11 shared papers)Samuel T. Workenhe (7 shared papers)Alexander Eggermont (7 shared papers)
In The Last Decade
Jonathan Pol
80 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 105
- Oncology 1.6k
- Immunology 1.2k
- Genetics 1.1k
- Biotechnology 227
- Infectious Diseases 305
Countries citing papers authored by Jonathan Pol
This map shows the geographic impact of Jonathan Pol'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 Jonathan Pol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Pol more than expected).
Fields of papers citing papers by Jonathan Pol
This network shows the impact of papers produced by Jonathan Pol. 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 Jonathan Pol. The network helps show where Jonathan Pol may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Pol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 291 | |
| 2 | 2015 | 249 | |
| 3 | 2017 | 182 | |
| 4 | 2019 | 141 | |
| 5 | 2019 | 134 | |
| 6 | 2013 | 133 | |
| 7 | 2018 | 129 | |
| 8 | 2013 | 98 | |
| 9 | 2015 | 97 | |
| 10 | 2015 | 95 | |
| 11 | 2013 | 92 | |
| 12 | 2018 | 89 | |
| 13 | 2014 | 81 | |
| 14 | 2017 | 74 | |
| 15 | 2018 | 68 | |
| 16 | 2014 | 65 | |
| 17 | 2020 | 61 | |
| 18 | 2018 | 59 | |
| 19 | 2013 | 59 | |
| 20 | 2019 | 58 |
About Jonathan Pol
Jonathan Pol is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Epidemiology, having authored 85 papers that have together received 3.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (24 papers), Immunotherapy and Immune Responses (23 papers), CAR-T cell therapy research (22 papers), Cancer Immunotherapy and Biomarkers (13 papers), Immune Cell Function and Interaction (9 papers), Autophagy in Disease and Therapy (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Oncology (1.6k citations), Immunology (1.2k citations), Genetics (1.1k citations), Biotechnology (227 citations) and Infectious Diseases (305 citations). Jonathan Pol has collaborated with scholars based in France, Sweden and Canada. Frequent co-authors include Guido Kroemer, Lorenzo Galluzzi, Laurence Zitvogel, Brian D. Lichty, Shashi Gujar, Sarah Lévesque, Samuel T. Workenhe, Alexander Eggermont, Jérôme Galon and Juliette Paillet. Their work appears in journals such as OncoImmunology, Journal for ImmunoTherapy of Cancer, Autophagy, Molecular Therapy and Cancers.
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.