Benjamin Ribba
Impact in
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Mathematical Biology Tumor Growth 26
- Oncology 20
- Cancer Cells and Metastasis 5
- Co-authors
- Thierry Colin (6 shared papers)Santiago D. Schnell (1 shared paper)Emmanuel Grenier (10 shared papers)Didier Bresch (7 shared papers)Iñaki F. Trocóniz (6 shared papers)Marc Lavielle (2 shared papers)Pascal Girard (6 shared papers)Richard Peck (4 shared papers)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (12 papers)Clinical Pharmacology & Therapeutics (5 papers)Journal of Theoretical Biology (3 papers)Annals of Oncology (2 papers)European Journal of Cancer (2 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Benjamin Ribba
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 133
- Modeling and Simulation 741
- Cancer Research 282
- Oncology 445
- Statistics and Probability 144
- Cell Biology 256
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 154 | |
| 2 | 2014 | 142 | |
| 3 | 2012 | 105 | |
| 4 | 2006 | 80 | |
| 5 | 2010 | 74 | |
| 6 | 2009 | 73 | |
| 7 | 2018 | 66 | |
| 8 | 2007 | 64 | |
| 9 | 2016 | 64 | |
| 10 | 2014 | 62 | |
| 11 | 2016 | 58 | |
| 12 | 2020 | 53 | |
| 13 | 2004 | 49 | |
| 14 | 2004 | 48 | |
| 15 | 2010 | 47 | |
| 16 | 2018 | 41 | |
| 17 | 2017 | 37 | |
| 18 | 2008 | 36 | |
| 19 | 2024 | 30 | |
| 20 | 2014 | 29 |
About Benjamin Ribba
Benjamin Ribba is a scholar working on Modeling and Simulation, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (26 papers), Cancer Genomics and Diagnostics (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Angiogenesis and VEGF in Cancer (8 papers), Cancer Cells and Metastasis (5 papers), Statistical Methods in Clinical Trials (5 papers), Gene Regulatory Network Analysis (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Modeling and Simulation (741 citations), Cancer Research (282 citations), Oncology (445 citations), Statistics and Probability (144 citations) and Cell Biology (256 citations). Benjamin Ribba has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Thierry Colin, Santiago D. Schnell, Emmanuel Grenier, Didier Bresch, Iñaki F. Trocóniz, Marc Lavielle, Pascal Girard, Richard Peck, Philip K. Maini and Jean‐Pierre Boissel. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Theoretical Biology, Annals of Oncology 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.