Marc Éloit
Impact in
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
- Parasitology top 1%
- Vector-borne infectious diseases
Papers in
-
- Animal Virus Infections Studies 32
-
- SARS-CoV-2 and COVID-19 Research 10
- Co-authors
- Marc Lecuit (10 shared papers)Justine Cheval (19 shared papers)Philippe Pérot (23 shared papers)Virginie Sauvage (9 shared papers)Bernard Toma (16 shared papers)Sarah Temmam (23 shared papers)Valérie Caro (7 shared papers)Thomas Bigot (19 shared papers)
- Journals
- Journal of General Virology (11 papers)Viruses (10 papers)Journal of Virology (9 papers)Emerging infectious diseases (8 papers)Biologicals (7 papers)
- Partner nations
- FranceUnited StatesCambodia
In The Last Decade
Marc Éloit
201 papers receiving 5.9k citations
Marc Éloit's Hit Papers
Peers
Comparison fields: 5 of 99
- Animal Science and Zoology 504
- Parasitology 398
- Infectious Diseases 947
- Clinical Biochemistry 172
- Hepatology 285
Countries citing papers authored by Marc Éloit
This map shows the geographic impact of Marc Éloit'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 Éloit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Éloit more than expected).
Fields of papers citing papers by Marc Éloit
This network shows the impact of papers produced by Marc Éloit. 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 Éloit. The network helps show where Marc Éloit may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Éloit, 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 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bat coronaviruses related to SARS-CoV-2 and infectious for human cells Hit paper breakdown → | 2022 | 359 |
| 2 | 2012 | 318 | |
| 3 | 2020 | 249 | |
| 4 | 2005 | 197 | |
| 5 | 2017 | 160 | |
| 6 | 2020 | 139 | |
| 7 | 2021 | 138 | |
| 8 | 2011 | 137 | |
| 9 | 2013 | 120 | |
| 10 | 2020 | 109 | |
| 11 | 2015 | 108 | |
| 12 | 2011 | 104 | |
| 13 | 2013 | 102 | |
| 14 | 2001 | 100 | |
| 15 | 2011 | 100 | |
| 16 | 2014 | 100 | |
| 17 | 2004 | 98 | |
| 18 | 2011 | 86 | |
| 19 | 2019 | 81 | |
| 20 | 1990 | 78 |
About Marc Éloit
Marc Éloit is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Parasitology and Hepatology, having authored 206 papers that have together received 6.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (32 papers), Virus-based gene therapy research (20 papers), Genomics and Phylogenetic Studies (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Hepatitis Viruses Studies and Epidemiology (9 papers), Vector-borne infectious diseases (8 papers), Prion Diseases and Protein Misfolding (8 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Animal Science and Zoology (504 citations), Parasitology (398 citations), Infectious Diseases (947 citations), Clinical Biochemistry (172 citations) and Hepatology (285 citations). Marc Éloit has collaborated with scholars based in France, United States and Cambodia. Frequent co-authors include Marc Lecuit, Justine Cheval, Philippe Pérot, Virginie Sauvage, Bernard Toma, Sarah Temmam, Valérie Caro, Thomas Bigot, Jean‐Claude Manuguerra and Muriel Vayssier‐Taussat. Their work appears in journals such as Journal of General Virology, Viruses, Journal of Virology, Emerging infectious diseases and Biologicals.
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.