Franck Martin
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- RNA and protein synthesis mechanisms 46
- RNA modifications and cancer 32
- RNA Research and Splicing 25
- Genomics and Phylogenetic Studies 8
- Genomics and Chromatin Dynamics 5
- Co-authors
- Gilbert ErianiJ. MailliotAntonin TiduJean GangloffLaure SchaefferDino MorasJ. CavarelliB. Rees
- Journals
- Nucleic Acids Research (9 papers)Biochemistry (4 papers)Journal of Biological Chemistry (3 papers)RNA (3 papers)Protein Engineering Design and Selection (3 papers)
- Partner nations
- FranceItalySwitzerland
In The Last Decade
Franck Martin
72 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.6k
- Infectious Diseases 225
- Hepatology 82
- Radiology, Nuclear Medicine and Imaging 232
- Cardiology and Cardiovascular Medicine 218
Countries citing papers authored by Franck Martin
This map shows the geographic impact of Franck Martin'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 Franck Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Martin more than expected).
Fields of papers citing papers by Franck Martin
This network shows the impact of papers produced by Franck Martin. 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 Franck Martin. The network helps show where Franck Martin may publish in the future.
Co-authors
The 25 scholars most cited alongside Franck Martin, 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 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 19 | |
| 8 | 2021 | 9 | |
| 9 | 2018 | 33 | |
| 10 | 2018 | 100 | |
| 11 | 2017 | 36 | |
| 12 | 2017 | 96 | |
| 13 | 2014 | 45 | |
| 14 | 2007 | 11 | |
| 15 | 2006 | 10 | |
| 16 | 2003 | 8 | |
| 17 | FIEBRE DE ORIGEN DESCONOCIDO | 1998 | 2 |
| 18 | 1995 | 8 | |
| 19 | 1994 | 26 | |
| 20 | 1993 | 23 |
About Franck Martin
Franck Martin is a scholar working on Molecular Biology, Hepatology, Radiology, Nuclear Medicine and Imaging, Biotechnology and Infectious Diseases, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (46 papers), RNA modifications and cancer (32 papers), RNA Research and Splicing (25 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Genomics and Phylogenetic Studies (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Genomics and Chromatin Dynamics (5 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Infectious Diseases (225 citations), Hepatology (82 citations), Radiology, Nuclear Medicine and Imaging (232 citations) and Cardiology and Cardiovascular Medicine (218 citations). Franck Martin has collaborated with scholars based in France, Italy and Switzerland. Frequent co-authors include Gilbert Eriani, J. Mailliot, Antonin Tidu, Jean Gangloff, Laure Schaeffer, Dino Moras, J. Cavarelli, B. Rees, Maurizio Sollazzo and R. Cortese. Their work appears in journals such as Nucleic Acids Research, Biochemistry, Journal of Biological Chemistry, RNA and Protein Engineering Design and Selection.
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.