Benjamin Ribba
Impact in
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in ⓘ
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- Mathematical Biology Tumor Growth 23
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- Cancer Genomics and Diagnostics 9
- Co-authors
- Thierry Colin (4 shared papers)Santiago Schnell (1 shared paper)Emmanuel Grenier (8 shared papers)Iñaki F. Trocóniz (6 shared papers)Marc Lavielle (2 shared papers)Didier Bresch (5 shared papers)Pascal Girard (7 shared papers)Michel Tod (10 shared papers)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (9 papers)Journal of Theoretical Biology (3 papers)Clinical Pharmacology & Therapeutics (3 papers)Clinical Cancer Research (2 papers)European Journal of Cancer (2 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Benjamin Ribba
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Modeling and Simulation 635
- Cancer Research 274
- Oncology 443
- Statistics and Probability 118
- Cell Biology 209
Countries citing papers authored by Benjamin Ribba
This map shows the geographic impact of Benjamin Ribba'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 Benjamin Ribba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Ribba more than expected).
Fields of papers citing papers by Benjamin Ribba
This network shows the impact of papers produced by Benjamin Ribba. 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 Benjamin Ribba. The network helps show where Benjamin Ribba may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Ribba, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 136 | |
| 2 | 2014 | 134 | |
| 3 | 2012 | 99 | |
| 4 | 2006 | 67 | |
| 5 | 2009 | 65 | |
| 6 | 2016 | 59 | |
| 7 | 2007 | 59 | |
| 8 | 2016 | 58 | |
| 9 | 2010 | 58 | |
| 10 | 2018 | 56 | |
| 11 | 2014 | 53 | |
| 12 | 2004 | 46 | |
| 13 | 2010 | 44 | |
| 14 | 2020 | 42 | |
| 15 | 2018 | 39 | |
| 16 | 2008 | 34 | |
| 17 | 2014 | 27 | |
| 18 | 2010 | 25 | |
| 19 | 2013 | 23 | |
| 20 | 2011 | 20 |
About Benjamin Ribba
Benjamin Ribba is a scholar working on Modeling and Simulation, Cancer Research, Oncology, Statistics and Probability and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (23 papers), Cancer Genomics and Diagnostics (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Statistical Methods in Clinical Trials (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Modeling and Simulation (635 citations), Cancer Research (274 citations), Oncology (443 citations), Statistics and Probability (118 citations) and Cell Biology (209 citations). Benjamin Ribba has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Thierry Colin, Santiago Schnell, Emmanuel Grenier, Iñaki F. Trocóniz, Marc Lavielle, Didier Bresch, Pascal Girard, Michel Tod, Richard Peck and Olivier Saut. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Journal of Theoretical Biology, Clinical Pharmacology & Therapeutics, Clinical Cancer Research and European 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.