Pascal Chanu
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
- Oncology 14
- CAR-T cell therapy research 5
- Cancer Immunotherapy and Biomarkers 4
- HER2/EGFR in Cancer Research 3
- Co-authors
- E. Niclas Jonsson (2 shared papers)Ronald Gieschke (2 shared papers)Norbert Frey (2 shared papers)René Bruno (8 shared papers)Lauren Boak (1 shared paper)Philippe Jacqmin (1 shared paper)Marc Lavielle (1 shared paper)Timothy Goggin (1 shared paper)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (5 papers)Clinical Pharmacology & Therapeutics (4 papers)The Journal of Clinical Pharmacology (3 papers)Cancer Chemotherapy and Pharmacology (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Pascal Chanu
28 papers receiving 383 citations
Peers
Comparison fields: 5 of 72
- Hepatology 73
- Statistics and Probability 43
- Oncology 137
- Modeling and Simulation 17
- Pharmacology 27
Countries citing papers authored by Pascal Chanu
This map shows the geographic impact of Pascal Chanu'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 Pascal Chanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Chanu more than expected).
Fields of papers citing papers by Pascal Chanu
This network shows the impact of papers produced by Pascal Chanu. 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 Pascal Chanu. The network helps show where Pascal Chanu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Chanu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 89 | |
| 2 | 2008 | 46 | |
| 3 | 2019 | 36 | |
| 4 | 2019 | 30 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2012 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2010 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2016 | 4 |
About Pascal Chanu
Pascal Chanu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 29 papers that have together received 403 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Cutaneous lymphoproliferative disorders research (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Hepatology (73 citations), Statistics and Probability (43 citations), Oncology (137 citations), Modeling and Simulation (17 citations) and Pharmacology (27 citations). Pascal Chanu has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include E. Niclas Jonsson, Ronald Gieschke, Norbert Frey, René Bruno, Lauren Boak, Philippe Jacqmin, Marc Lavielle, Timothy Goggin, Jin Y. Jin and Jorge Grippo. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, The Journal of Clinical Pharmacology, Cancer Chemotherapy and Pharmacology and British Journal of Cancer.
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.