Philippe Codron
Impact in
Papers in
-
- Mitochondrial Function and Pathology 5
- Prion Diseases and Protein Misfolding 4
- Neurology 14
- Amyotrophic Lateral Sclerosis Research 11
- Neurological diseases and metabolism 4
- Parkinson's Disease Mechanisms and Treatments 4
- Co-authors
- Jean‐Pierre Julien (5 shared papers)Julien Cassereau (16 shared papers)Guy Lenaers (11 shared papers)Vincent Picher‐Martel (1 shared paper)Arnaud Chevrollier (10 shared papers)Pascal Reynier (6 shared papers)Vincent Procaccio (5 shared papers)Christine Bareil (2 shared papers)
In The Last Decade
Philippe Codron
25 papers receiving 450 citations
Peers
Comparison fields: 5 of 92
- Neurology 187
- Genetics 74
- Neurology 49
- Cellular and Molecular Neuroscience 68
- Biophysics 22
Countries citing papers authored by Philippe Codron
This map shows the geographic impact of Philippe Codron'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 Codron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Codron more than expected).
Fields of papers citing papers by Philippe Codron
This network shows the impact of papers produced by Philippe Codron. 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 Codron. The network helps show where Philippe Codron may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Codron, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2017 | 79 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 28 | |
| 6 | 2017 | 28 | |
| 7 | 2020 | 27 | |
| 8 | 2019 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2014 | 17 | |
| 11 | 2017 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 3 | |
| 18 | Dedifferentiated cells obtained from glioblastoma cell lines are an easy and robust model for mesenchymal glioblastoma stem cells studies. | 2023 | 3 |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Philippe Codron
Philippe Codron is a scholar working on Molecular Biology, Neurology, Genetics, Neurology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 457 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (11 papers), Neurogenetic and Muscular Disorders Research (7 papers), Mitochondrial Function and Pathology (5 papers), Neurological diseases and metabolism (4 papers), Prion Diseases and Protein Misfolding (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Neurology (187 citations), Genetics (74 citations), Neurology (49 citations), Cellular and Molecular Neuroscience (68 citations) and Biophysics (22 citations). Philippe Codron has collaborated with scholars based in France, Canada and Poland. Frequent co-authors include Jean‐Pierre Julien, Julien Cassereau, Guy Lenaers, Vincent Picher‐Martel, Arnaud Chevrollier, Pascal Reynier, Vincent Procaccio, Christine Bareil, Silvia Pozzi and Geneviève Soucy. Their work appears in journals such as Molecular Neurobiology, Acta Neuropathologica Communications, Biochemical Pharmacology, Journal of the Peripheral Nervous System and iScience.
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.