Jonathan Pol

7.0k citations
80 papers · 3.3k indexed · h-index 34
  • Oncology top 2%
    • CAR-T cell therapy research 20
    • Cancer Immunotherapy and Biomarkers 13
  • Immunology top 2%
    • Immunotherapy and Immune Responses 23
    • Immune Cell Function and Interaction 10
  • Genetics top 2%
    • Virus-based gene therapy research 23
    • Cancer Research and Treatments 6
    • Viral Infectious Diseases and Gene Expression in Insects 7
    • Autophagy in Disease and Therapy 7

Jonathan Pol

74 papers receiving 3.2k citations

Peers

Jonathan Pol
Comparison fields: 5 of 109
  • Oncology 1.6k
  • Immunology 1.2k
  • Genetics 1.1k
  • Biotechnology 237
  • Cancer Research 263
Replace Rahul V. Gopalkrishnan with:
Rahul V. Gopalkrishnan United States
Edmund C. Lattime United States
David Escors Spain
Zong Sheng Guo United States
Peter Sabbatini United States
Sunil Chada United States
Arthur E. Frankel United States
Tsuneya Ohno Japan
Roger Geiger Switzerland
Michael I. Nishimura United States
Jonathan Pol relative to Rahul V. Gopalkrishnan United States Rahul V. Gopalkrishnan's profile →
Citations per field
00.5×10×13.7×
Rahul V. Gopalkrishnan · 1×
Citations per year

Countries citing papers authored by Jonathan Pol

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jonathan Pol Line = papers co-authored together Jonathan Pol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202422
3 20245
4 202311
5 20226
6 202126
7 202012
8 2019129
9 201910
10 2018120
11 201732
12 201540
13 2015239
14 201447
15 201359
16 20114
17 200852
18 20085
19 199114
20 198928

About Jonathan Pol

Jonathan Pol is a scholar working on Immunology, Oncology, Physiology, Hepatology and Genetics, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Immunotherapy and Immune Responses (23 papers), CAR-T cell therapy research (20 papers), Cancer Immunotherapy and Biomarkers (13 papers), Immune Cell Function and Interaction (10 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Autophagy in Disease and Therapy (7 papers) and Cancer Research and Treatments (6 papers). The work is most often cited by research in Oncology (1.6k citations), Immunology (1.2k citations), Genetics (1.1k citations), Biotechnology (237 citations) and Cancer Research (263 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, Samuel T. Workenhe, Sarah Lévesque, Alexander Eggermont, Jérôme Galon and Isabelle Cremer. 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.

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