Benjamin Ribba

58 papers receiving 1.5k citations

Peers

Benjamin Ribba
Comparison fields: 5 of 122
  • Modeling and Simulation 621
  • Cancer Research 246
  • Oncology 391
  • Statistics and Probability 108
  • Cell Biology 196
Replace Sébastien Benzekry with:
Sébastien Benzekry France
Dominique Barbolosi France
Afshin Beheshti United States
Heiko Enderling United States
Georgios Stamatakos Greece
Andrzej Świerniak Poland
Jan Poleszczuk Poland
Michael Retsky United States
Leonid Hanin United States
Benjamin Ribba relative to Sébastien Benzekry France Sébastien Benzekry's profile →
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Citations per year

Countries citing papers authored by Benjamin Ribba

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006137
2 2014134
3 201299
4 200669
5 200966
6 200762
7 201859
8 201659
9 201659
10 201059
11 201454
12 202046
13 200446
14 201044
15 201839
16 200833
17 201427
18 201025
19 201323
20 202420

About Benjamin Ribba

Benjamin Ribba is a scholar working on Modeling and Simulation, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (24 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Cancer Genomics and Diagnostics (7 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Modeling and Simulation (621 citations), Cancer Research (246 citations), Oncology (391 citations), Statistics and Probability (108 citations) and Cell Biology (196 citations). Benjamin Ribba has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Thierry Colin, Santiago Schnell, Emmanuel Grenier, Didier Bresch, Iñaki F. Trocóniz, Marc Lavielle, Pascal Girard, Richard Peck, Michel Tod and Jean‐Pierre Boissel. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Journal of Theoretical Biology, Clinical Pharmacology & Therapeutics, Annals of Oncology and Journal of Clinical Oncology.

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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