Florence Picard
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Co-authors
- Camilla Jandus (1 shared paper)Taha Merghoub (1 shared paper)Sarah‐Maria Fendt (1 shared paper)Yao-Chen Tsui (1 shared paper)Roberta Zappasodi (1 shared paper)Ira J. Goldberg (1 shared paper)Isabell Schulze (1 shared paper)Marcel P. Trefny (1 shared paper)
- Journals
- Vaccines (1 paper)Blood (1 paper)Journal of the American Geriatrics Society (1 paper)EBioMedicine (1 paper)Nature Immunology (1 paper)
- Partner nations
- FranceSwitzerlandBelgium
In The Last Decade
Florence Picard
6 papers receiving 573 citations
Florence Picard's Hit Papers
Peers
Comparison fields: 5 of 58
- Immunology 303
- Cancer Research 204
- Virology 50
- Oncology 145
- Biological Psychiatry 10
Countries citing papers authored by Florence Picard
This map shows the geographic impact of Florence Picard'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 Florence Picard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Picard more than expected).
Fields of papers citing papers by Florence Picard
This network shows the impact of papers produced by Florence Picard. 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 Florence Picard. The network helps show where Florence Picard may publish in the future.
Co-authors
The 25 scholars most cited alongside Florence Picard, 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 | CD36-mediated metabolic adaptation supports regulatory T cell survival and function in tumors Hit paper breakdown → | 2020 | 507 |
| 2 | 1996 | 61 | |
| 3 | 2020 | 2 | |
| 4 | 2024 | 2 | |
| 5 | Effect of caloric restriction on bone marrow adipogenesis of aging rats. | 2007 | 1 |
| 6 | 2021 | 1 | |
| 7 | 2020 | 0 |
About Florence Picard
Florence Picard is a scholar working on Immunology, Infectious Diseases, Virology, Molecular Biology and Political Science and International Relations, having authored 7 papers that have together received 574 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), HIV Research and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Insurance and Financial Risk Management (1 paper), Education, sociology, and vocational training (1 paper), Artificial Intelligence in Law (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Immunology (303 citations), Cancer Research (204 citations), Virology (50 citations), Oncology (145 citations) and Biological Psychiatry (10 citations). Florence Picard has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Camilla Jandus, Taha Merghoub, Sarah‐Maria Fendt, Yao-Chen Tsui, Roberta Zappasodi, Ira J. Goldberg, Isabell Schulze, Marcel P. Trefny, Xin Xie and Jedd D. Wolchok. Their work appears in journals such as Vaccines, Blood, Journal of the American Geriatrics Society, EBioMedicine and Nature 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.