Jean‐Paul Molens
- Immunology top 5%
- Oncology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Joël PlumasLaurence ChaperotOlivier ManchesGabrielle LuiJean‐Claude BensaJean‐Jacques SottoMarie‐Christine JacobRémy Gressin
- Topics
- Immunotherapy and Immune Responses (18 papers)Immune Cell Function and Interaction (13 papers)CAR-T cell therapy research (9 papers)
- Cited by
- ImmunologyGeneticsOncology
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jean‐Paul Molens
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 75
- Immunology 751
- Oncology 305
- Molecular Biology 206
- Radiology, Nuclear Medicine and Imaging 195
- Pathology and Forensic Medicine 183
Countries citing papers authored by Jean‐Paul Molens
This map shows the geographic impact of Jean‐Paul Molens'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 Jean‐Paul Molens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Paul Molens more than expected).
Fields of papers citing papers by Jean‐Paul Molens
This network shows the impact of papers produced by Jean‐Paul Molens. 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 Jean‐Paul Molens. The network helps show where Jean‐Paul Molens may publish in the future.
Co-authorship network of co-authors of Jean‐Paul Molens
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Paul Molens. A scholar is included among the top collaborators of Jean‐Paul Molens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Paul Molens. Jean‐Paul Molens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 60 | |
| 4 | 25 | |
| 5 | 77 | |
| 6 | 88 | |
| 7 | 31 | |
| 8 | 206 | |
| 9 | 16 | |
| 10 | Anti-Gal-mediated targeting of human B lymphoma cells to antigen-presenting cells: a potential method for immunotherapy using autologous tumor cells. | 29 |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 288 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 41 | |
| 17 | 12 | |
| 18 | 100 | |
| 19 | 5 | |
| 20 | 36 |
About Jean‐Paul Molens
Jean‐Paul Molens is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), Immune Cell Function and Interaction (13 papers) and CAR-T cell therapy research (9 papers). The work is most often cited by research in Immunology (751 citations), Genetics (139 citations) and Oncology (305 citations). Jean‐Paul Molens has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Joël Plumas, Laurence Chaperot, Olivier Manches, Gabrielle Lui, Jean‐Claude Bensa, Jean‐Jacques Sotto, Marie‐Christine Jacob, Rémy Gressin, Dominique Leroux and J. J. Sotto. Their work appears in journals such as Blood, The Journal of Immunology and PLoS ONE.
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.