René Bruno
- Oncology top 0.5%
- Colorectal Cancer Treatments and Studies 30
- Cancer Treatment and Pharmacology 29
- Cancer Immunotherapy and Biomarkers 25
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 24
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 11
- Pharmacology top 0.5%
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 21
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- Lung Cancer Treatments and Mutations 24
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- Cancer therapeutics and mechanisms 9
- Co-authors
- Laurent ClaretJianfeng LüGuy MontayNicole VivierSteve EpplerJ. VergniolLewis B. SheinerAthanassios Iliadis
- Journals
- Journal of Clinical Oncology (17 papers)Clinical Pharmacology & Therapeutics (16 papers)Cancer Chemotherapy and Pharmacology (14 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
René Bruno
127 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 127
- Oncology 2.8k
- Statistics and Probability 515
- Modeling and Simulation 290
- Pharmacology 491
- Cancer Research 700
Countries citing papers authored by René Bruno
This map shows the geographic impact of René Bruno'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 René Bruno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Bruno more than expected).
Fields of papers citing papers by René Bruno
This network shows the impact of papers produced by René Bruno. 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 René Bruno. The network helps show where René Bruno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside René Bruno, 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 | 2024 | 3 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2019 | 61 | |
| 13 | 2019 | 62 | |
| 14 | 2019 | 36 | |
| 15 | 2018 | 53 | |
| 16 | 2018 | 12 | |
| 17 | 2013 | 17 | |
| 18 | 2008 | 278 | |
| 19 | 2002 | 63 | |
| 20 | 1996 | 127 |
About René Bruno
René Bruno is a scholar working on Statistics and Probability, Oncology, Modeling and Simulation, Cancer Research and Pulmonary and Respiratory Medicine, having authored 128 papers that have together received 4.7k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (30 papers), Cancer Treatment and Pharmacology (29 papers), Cancer Immunotherapy and Biomarkers (25 papers), Statistical Methods in Clinical Trials (24 papers), Lung Cancer Treatments and Mutations (24 papers), Cancer Genomics and Diagnostics (21 papers), Mathematical Biology Tumor Growth (11 papers) and Cancer therapeutics and mechanisms (9 papers). The work is most often cited by research in Oncology (2.8k citations), Statistics and Probability (515 citations), Modeling and Simulation (290 citations), Pharmacology (491 citations) and Cancer Research (700 citations). René Bruno has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Laurent Claret, Jianfeng Lü, Guy Montay, Nicole Vivier, Steve Eppler, J. Vergniol, Lewis B. Sheiner, Athanassios Iliadis, François Mercier and Bert L. Lum. Their work appears in journals such as Journal of Clinical Oncology, Clinical Pharmacology & Therapeutics, Cancer Chemotherapy and Pharmacology, CPT Pharmacometrics & Systems Pharmacology and The Journal of Clinical Pharmacology.
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.