Marc Bartoli
Impact in
- Molecular Biology top 5%
- Muscle Physiology and Disorders
- RNA Research and Splicing
- Cell Biology top 2%
- Calpain Protease Function and Regulation
Papers in
- Genetics 38
- Genomics and Rare Diseases 28
- Virus-based gene therapy research 7
- Genomic variations and chromosomal abnormalities 4
-
- Muscle Physiology and Disorders 52
- Co-authors
- Isabelle Richard (26 shared papers)Martin Krahn (47 shared papers)Nathalie Bourg (11 shared papers)Nicolas Lévy (49 shared papers)Carinne Roudaut (10 shared papers)Ariane Monneron (5 shared papers)Stéphanie Duguez (2 shared papers)Nathalie Danièle (7 shared papers)
- Journals
- Neuromuscular Disorders (8 papers)Human Mutation (7 papers)Muscle & Nerve (4 papers)Human Molecular Genetics (4 papers)Clinical Genetics (3 papers)
- Partner nations
- FranceUnited StatesLebanon
In The Last Decade
Marc Bartoli
96 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 2k
- Cell Biology 392
- Genetics 644
- Sensory Systems 108
- Genetics 121
Countries citing papers authored by Marc Bartoli
This map shows the geographic impact of Marc Bartoli'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 Marc Bartoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Bartoli more than expected).
Fields of papers citing papers by Marc Bartoli
This network shows the impact of papers produced by Marc Bartoli. 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 Marc Bartoli. The network helps show where Marc Bartoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Bartoli, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2018 | 161 | |
| 3 | 2005 | 145 | |
| 4 | 2003 | 132 | |
| 5 | 2010 | 119 | |
| 6 | 1996 | 115 | |
| 7 | 2006 | 111 | |
| 8 | 2004 | 97 | |
| 9 | 2001 | 89 | |
| 10 | 2014 | 73 | |
| 11 | 2007 | 70 | |
| 12 | 2009 | 69 | |
| 13 | 2013 | 68 | |
| 14 | 2010 | 66 | |
| 15 | 2005 | 63 | |
| 16 | 2009 | 61 | |
| 17 | 2001 | 59 | |
| 18 | 2006 | 58 | |
| 19 | 2008 | 58 | |
| 20 | 2008 | 57 |
About Marc Bartoli
Marc Bartoli is a scholar working on Genetics, Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 101 papers that have together received 3.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (52 papers), Genomics and Rare Diseases (28 papers), Calpain Protease Function and Regulation (13 papers), Hereditary Neurological Disorders (7 papers), Virus-based gene therapy research (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Ion Channels and Receptors (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Molecular Biology (2k citations), Cell Biology (392 citations), Genetics (644 citations), Sensory Systems (108 citations) and Genetics (121 citations). Marc Bartoli has collaborated with scholars based in France, United States and Lebanon. Frequent co-authors include Isabelle Richard, Martin Krahn, Nathalie Bourg, Nicolas Lévy, Carinne Roudaut, Ariane Monneron, Stéphanie Duguez, Nathalie Danièle, Francis Castets and Jérôme Poupiot. Their work appears in journals such as Neuromuscular Disorders, Human Mutation, Muscle & Nerve, Human Molecular Genetics and Clinical Genetics.
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.