Philippe Ravassard
Impact in
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- Neuroscience and Neuropharmacology Research
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neurogenesis and neuroplasticity mechanisms 7
- Genetics 38
- Diabetes and associated disorders 22
- Genetics and Neurodevelopmental Disorders 12
Philippe Ravassard
98 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Cellular and Molecular Neuroscience 1.6k
- Developmental Neuroscience 324
- Endocrinology, Diabetes and Metabolism 1.1k
- Genetics 1.8k
- Surgery 2.5k
Countries citing papers authored by Philippe Ravassard
This map shows the geographic impact of Philippe Ravassard'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 Ravassard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Ravassard more than expected).
Fields of papers citing papers by Philippe Ravassard
This network shows the impact of papers produced by Philippe Ravassard. 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 Ravassard. The network helps show where Philippe Ravassard may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Ravassard, 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 | 2025 | 0 | |
| 2 | 2022 | 12 | |
| 3 | 2020 | 23 | |
| 4 | 2020 | 34 | |
| 5 | 2019 | 13 | |
| 6 | 2017 | 8 | |
| 7 | 2015 | 44 | |
| 8 | 2015 | 3 | |
| 9 | 2015 | 56 | |
| 10 | Co-Transplantation of VEGF-Expressing Human Embryonic Stem Cell Derived Mesenchymal Stem Cells to Enhance Islet Revascularization in Diabetic Nude Mice | 2014 | 1 |
| 11 | 2014 | 7 | |
| 12 | 2014 | 7 | |
| 13 | 2014 | 22 | |
| 14 | 2011 | 24 | |
| 15 | A genetically engineered human pancreatic β cell line exhibiting glucose-inducible insulin secretion Hit paper breakdown → | 2011 | 396 |
| 16 | The Ectopic Expression of Pax4 in the Mouse Pancreas Converts Progenitor Cells into α and Subsequently β Cells Hit paper breakdown → | 2009 | 426 |
| 17 | 2008 | 190 | |
| 18 | 2006 | 65 | |
| 19 | 2006 | 84 | |
| 20 | 1997 | 5 |
About Philippe Ravassard
Philippe Ravassard is a scholar working on Developmental Neuroscience, Genetics, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Surgery, having authored 100 papers that have together received 5.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (47 papers), Diabetes and associated disorders (22 papers), Diabetes Management and Research (17 papers), Pluripotent Stem Cells Research (12 papers), Genetics and Neurodevelopmental Disorders (12 papers), Neuroscience and Neuropharmacology Research (11 papers), CRISPR and Genetic Engineering (10 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Developmental Neuroscience (324 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (1.8k citations) and Surgery (2.5k citations). Philippe Ravassard has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include Salah El Mestikawy, Bruno Giros, Raphaël Scharfmann, Christelle Gras, Étienne Herzog, Véronique Bernard, Bruno Gasnier, Gian Carlo Bellenchi, Harry Heimberg and Jacques Mallet. Their work appears in journals such as PLoS ONE, Diabetes, Scientific Reports, Diabetologia and Journal of Biological Chemistry.
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.