Anne Rogel
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 6
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 2
- Co-authors
- Aymen Al‐Shamkhani (7 shared papers)Sarah L. Buchan (7 shared papers)Stephen M. Thirdborough (3 shared papers)Vadim Y. Taraban (2 shared papers)Khashayar Pakdaman (1 shared paper)Jane E. Willoughby (2 shared papers)Takeaki Shimokawa (1 shared paper)Shunsuke Sato (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Clinical Cancer Research (1 paper)The FASEB Journal (1 paper)European Respiratory Journal (1 paper)JCI Insight (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Anne Rogel
13 papers receiving 579 citations
Peers
Comparison fields: 5 of 65
- Immunology 316
- Oncology 300
- Statistical and Nonlinear Physics 47
- Cognitive Neuroscience 45
- Cancer Research 29
Countries citing papers authored by Anne Rogel
This map shows the geographic impact of Anne Rogel'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 Anne Rogel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Rogel more than expected).
Fields of papers citing papers by Anne Rogel
This network shows the impact of papers produced by Anne Rogel. 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 Anne Rogel. The network helps show where Anne Rogel may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Rogel, 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 | 2017 | 186 | |
| 2 | 2018 | 85 | |
| 3 | 2014 | 65 | |
| 4 | 1999 | 53 | |
| 5 | 2014 | 43 | |
| 6 | 2012 | 42 | |
| 7 | 2017 | 42 | |
| 8 | 2011 | 33 | |
| 9 | 2010 | 16 | |
| 10 | 2012 | 10 | |
| 11 | 1998 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 3 |
About Anne Rogel
Anne Rogel is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 13 papers that have together received 595 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Immunology (316 citations), Oncology (300 citations), Statistical and Nonlinear Physics (47 citations), Cognitive Neuroscience (45 citations) and Cancer Research (29 citations). Anne Rogel has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Aymen Al‐Shamkhani, Sarah L. Buchan, Stephen M. Thirdborough, Vadim Y. Taraban, Khashayar Pakdaman, Jane E. Willoughby, Takeaki Shimokawa, Shunsuke Sato, Christine A. Penfold and Tibor Keler. Their work appears in journals such as The Journal of Immunology, Clinical Cancer Research, The FASEB Journal, European Respiratory Journal and JCI Insight.
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.