Philippe Bertolino
Impact in
Papers in
-
- Metabolism, Diabetes, and Cancer 8
- TGF-β signaling in diseases 8
- Angiogenesis and VEGF in Cancer 4
- Oncology 14
- Pancreatic and Hepatic Oncology Research 9
- Co-authors
- Chang Zhang (21 shared papers)Olov Andersson (6 shared papers)Peter ten Dijke (2 shared papers)Franck Lebrin (2 shared papers)Wei‐Min Tong (2 shared papers)Zhao‐Qi Wang (2 shared papers)Carlos F. Ibáñez (3 shared papers)Martine Deckers (1 shared paper)
In The Last Decade
Philippe Bertolino
55 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 97
- Oncology 559
- Neurology 283
- Endocrinology, Diabetes and Metabolism 289
- Epidemiology 511
- Molecular Biology 913
Countries citing papers authored by Philippe Bertolino
This map shows the geographic impact of Philippe Bertolino'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 Philippe Bertolino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Bertolino more than expected).
Fields of papers citing papers by Philippe Bertolino
This network shows the impact of papers produced by Philippe Bertolino. 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 Philippe Bertolino. The network helps show where Philippe Bertolino may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Bertolino, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 206 | |
| 2 | 2003 | 192 | |
| 3 | 2003 | 120 | |
| 4 | Pancreatic beta-cell-specific ablation of the multiple endocrine neoplasia type 1 (MEN1) gene causes full penetrance of insulinoma development in mice. | 2003 | 120 |
| 5 | 2010 | 102 | |
| 6 | 2008 | 101 | |
| 7 | 2007 | 96 | |
| 8 | 2018 | 94 | |
| 9 | 2020 | 94 | |
| 10 | 2007 | 76 | |
| 11 | 2008 | 73 | |
| 12 | 2021 | 71 | |
| 13 | 2016 | 71 | |
| 14 | 2017 | 54 | |
| 15 | 2019 | 50 | |
| 16 | 2024 | 38 | |
| 17 | 2022 | 35 | |
| 18 | 2020 | 34 | |
| 19 | 2018 | 33 | |
| 20 | 2011 | 33 |
About Philippe Bertolino
Philippe Bertolino is a scholar working on Molecular Biology, Oncology, Surgery, Epidemiology and Genetics, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Neuroendocrine Tumor Research Advances (11 papers), Pancreatic and Hepatic Oncology Research (9 papers), Metabolism, Diabetes, and Cancer (8 papers), TGF-β signaling in diseases (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Neuroblastoma Research and Treatments (5 papers) and Angiogenesis and VEGF in Cancer (4 papers). The work is most often cited by research in Oncology (559 citations), Neurology (283 citations), Endocrinology, Diabetes and Metabolism (289 citations), Epidemiology (511 citations) and Molecular Biology (913 citations). Philippe Bertolino has collaborated with scholars based in France, Sweden and Romania. Frequent co-authors include Chang Zhang, Olov Andersson, Peter ten Dijke, Franck Lebrin, Wei‐Min Tong, Zhao‐Qi Wang, Carlos F. Ibáñez, Martine Deckers, Huguette Casse and D. Galendo. Their work appears in journals such as Oncogene, Endocrine Related Cancer, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Acta Neuropathologica Communications.
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.