Pierre Sesques
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Viral-associated cancers and disorders
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 20
- CAR-T cell therapy research 16
- Viral-associated cancers and disorders 3
-
- Lymphoma Diagnosis and Treatment 11
- Co-authors
- Nathalie A. Johnson (1 shared paper)Emmanuel Bachy (17 shared papers)Kai Rejeski (5 shared papers)Frederick L. Locke (4 shared papers)Michael D. Jain (4 shared papers)Gilles Salles (11 shared papers)Alexandra Traverse‐Glehen (5 shared papers)Yi Lin (2 shared papers)
- Journals
- Blood (5 papers)Hematological Oncology (3 papers)Blood Advances (2 papers)Frontiers in Microbiology (1 paper)Clinical Microbiology and Infection (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Pierre Sesques
25 papers receiving 358 citations
Peers
Comparison fields: 5 of 40
- Oncology 259
- Pathology and Forensic Medicine 154
- Genetics 57
- Hematology 31
- Immunology 55
Countries citing papers authored by Pierre Sesques
This map shows the geographic impact of Pierre Sesques'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 Pierre Sesques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Sesques more than expected).
Fields of papers citing papers by Pierre Sesques
This network shows the impact of papers produced by Pierre Sesques. 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 Pierre Sesques. The network helps show where Pierre Sesques may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Sesques, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 108 | |
| 2 | 2023 | 48 | |
| 3 | 2022 | 36 | |
| 4 | 2022 | 26 | |
| 5 | 2018 | 26 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2019 | 2 | |
| 20 | 2019 | 2 |
About Pierre Sesques
Pierre Sesques is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Immunology and Genetics, having authored 27 papers that have together received 359 indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Lymphoma Diagnosis and Treatment (11 papers), Virus-based gene therapy research (6 papers), Viral-associated cancers and disorders (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Oncology (259 citations), Pathology and Forensic Medicine (154 citations), Genetics (57 citations), Hematology (31 citations) and Immunology (55 citations). Pierre Sesques has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Nathalie A. Johnson, Emmanuel Bachy, Kai Rejeski, Frederick L. Locke, Michael D. Jain, Gilles Salles, Alexandra Traverse‐Glehen, Yi Lin, Catherine de Martel and Florence Broussais. Their work appears in journals such as Blood, Hematological Oncology, Blood Advances, Frontiers in Microbiology and Clinical Microbiology and Infection.
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.