John Rendu
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Muscle Physiology and Disorders 9
- Ion channel regulation and function 6
- CRISPR and Genetic Engineering 5
- Nuclear Structure and Function 4
-
- Cardiomyopathy and Myosin Studies 9
- Co-authors
- Julien Fauré (29 shared papers)Charles Coutton (5 shared papers)Joël Lunardi (7 shared papers)Didier Grünwald (2 shared papers)Julie Delaroche (1 shared paper)Thomas Karaouzène (1 shared paper)Virginie Pierre (1 shared paper)Sandra Yassine (1 shared paper)
- Journals
- Neuromuscular Disorders (5 papers)Human Molecular Genetics (3 papers)Human Mutation (3 papers)Journal of Medical Genetics (2 papers)Acta Neuropathologica Communications (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
John Rendu
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Reproductive Medicine 210
- Nephrology 84
- Cell Biology 167
- Genetics 229
- Genetics 78
Countries citing papers authored by John Rendu
This map shows the geographic impact of John Rendu'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 John Rendu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Rendu more than expected).
Fields of papers citing papers by John Rendu
This network shows the impact of papers produced by John Rendu. 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 John Rendu. The network helps show where John Rendu may publish in the future.
Co-authors
The 25 scholars most cited alongside John Rendu, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 317 | |
| 2 | 2010 | 110 | |
| 3 | 2016 | 81 | |
| 4 | 2015 | 37 | |
| 5 | 2019 | 37 | |
| 6 | 2017 | 31 | |
| 7 | 2021 | 30 | |
| 8 | 2014 | 30 | |
| 9 | 2017 | 30 | |
| 10 | 2013 | 29 | |
| 11 | 2018 | 23 | |
| 12 | 2018 | 19 | |
| 13 | 2012 | 19 | |
| 14 | 2016 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2015 | 16 | |
| 17 | 2010 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2016 | 14 | |
| 20 | 2021 | 11 |
About John Rendu
John Rendu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Genetics and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (9 papers), Muscle Physiology and Disorders (9 papers), Cardiomyopathy and Myosin Studies (9 papers), Ion channel regulation and function (6 papers), Genetic Neurodegenerative Diseases (5 papers), CRISPR and Genetic Engineering (5 papers), Nuclear Structure and Function (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Reproductive Medicine (210 citations), Nephrology (84 citations), Cell Biology (167 citations), Genetics (229 citations) and Genetics (78 citations). John Rendu has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Julien Fauré, Charles Coutton, Joël Lunardi, Didier Grünwald, Julie Delaroche, Thomas Karaouzène, Virginie Pierre, Sandra Yassine, Pierre F. Ray and Pierre‐Simon Jouk. Their work appears in journals such as Neuromuscular Disorders, Human Molecular Genetics, Human Mutation, Journal of Medical Genetics 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.