Pascal Chanu

27 papers receiving 463 citations

Peers

Pascal Chanu
Comparison fields: 5 of 58
  • Pediatrics, Perinatology and Child Health 99
  • Hepatology 53
  • Statistics and Probability 71
  • Modeling and Simulation 23
  • Oncology 72
Replace Ragheed Al-Mufti with:
Ragheed Al-Mufti United Kingdom
Pavan Vajjah United Kingdom
Tsuyoshi Takiuchi Japan
Vincent Van Belle Belgium
Małgorzata Krętowska Poland
Danny H.Y. Wu United States
Marc W. Cavaillé-Coll United States
Kevin J. Carroll United Kingdom
Hina Patel United States
Gillis J. Carrigan United States
Pascal Chanu relative to Ragheed Al-Mufti United Kingdom Ragheed Al-Mufti's profile →
Citations per field
00.5×5×10×15×20×24.8×
Ragheed Al-Mufti · 1×
Citations per year

Countries citing papers authored by Pascal Chanu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pascal Chanu Line = papers co-authored together Pascal Chanu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201095
2 200847
3 201940
4 201935
5 202125
6 202325
7 202022
8 201016
9 201216
10 202316
11 202315
12 202315
13 202014
14 202113
15 201612
16 20209
17 20229
18 20249
19 20198
20 20228

About Pascal Chanu

Pascal Chanu is a scholar working on Pediatrics, Perinatology and Child Health, Statistics and Probability, Oncology, Pathology and Forensic Medicine and Pharmacology, having authored 30 papers that have together received 481 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (9 papers), Statistical Methods in Clinical Trials (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Erythropoietin and Anemia Treatment (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (99 citations), Hepatology (53 citations), Statistics and Probability (71 citations), Modeling and Simulation (23 citations) and Oncology (72 citations). Pascal Chanu has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include E. Niclas Jonsson, Ronald Gieschke, René Bruno, Norbert Frey, Jin Y. Jin, Philippe Jacqmin, Sandhya Girish, Marc Lavielle, Nelson L. ‘Shasha’ Jumbe and Karin M. Jorga. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, The Journal of Clinical Pharmacology, Cancer Chemotherapy and Pharmacology and Pharmaceutical Research.

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.

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