Maïthé Clerc
Impact in
- Microbiology top 0.5%
- Reproductive tract infections research
- Microbial infections and disease research
- Epidemiology top 10%
- Urinary Tract Infections Management
- Herpesvirus Infections and Treatments
- Mycobacterium research and diagnosis
Papers in
- Microbiology 26
- Reproductive tract infections research 24
- Microbial infections and disease research 4
- Epidemiology 23
- Urinary Tract Infections Management 16
- Cervical Cancer and HPV Research 3
- Co-authors
- Bertille de Barbeyrac (27 shared papers)Cécile Marie Bébéar (21 shared papers)Hélène Renaudin (5 shared papers)Sabine Pereyre (4 shared papers)Chloé Le Roy (6 shared papers)Alain Charron (2 shared papers)Olivia Peuchant (6 shared papers)Agathe Subtil (1 shared paper)
In The Last Decade
Maïthé Clerc
32 papers receiving 611 citations
Peers
Comparison fields: 5 of 65
- Microbiology 510
- Epidemiology 274
- Parasitology 36
- Infectious Diseases 83
- Clinical Biochemistry 27
Countries citing papers authored by Maïthé Clerc
This map shows the geographic impact of Maïthé Clerc'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 Maïthé Clerc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maïthé Clerc more than expected).
Fields of papers citing papers by Maïthé Clerc
This network shows the impact of papers produced by Maïthé Clerc. 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 Maïthé Clerc. The network helps show where Maïthé Clerc may publish in the future.
Co-authors
The 25 scholars most cited alongside Maïthé Clerc, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 73 | |
| 2 | 2006 | 65 | |
| 3 | 2003 | 58 | |
| 4 | 2008 | 57 | |
| 5 | 2006 | 40 | |
| 6 | 2011 | 38 | |
| 7 | 2012 | 36 | |
| 8 | 2001 | 34 | |
| 9 | 2005 | 33 | |
| 10 | 2003 | 22 | |
| 11 | 1998 | 21 | |
| 12 | 1995 | 20 | |
| 13 | 2003 | 19 | |
| 14 | 2007 | 19 | |
| 15 | 2010 | 18 | |
| 16 | 2002 | 16 | |
| 17 | 2012 | 16 | |
| 18 | 2009 | 11 | |
| 19 | 2009 | 10 | |
| 20 | 2012 | 10 |
About Maïthé Clerc
Maïthé Clerc is a scholar working on Microbiology, Epidemiology, General Social Sciences, Infectious Diseases and Physiology, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Reproductive tract infections research (24 papers), Urinary Tract Infections Management (16 papers), Syphilis Diagnosis and Treatment (6 papers), HIV, TB, and STIs Epidemiology (4 papers), Microbial infections and disease research (4 papers), Cervical Cancer and HPV Research (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Urinary and Genital Oncology Studies (3 papers). The work is most often cited by research in Microbiology (510 citations), Epidemiology (274 citations), Parasitology (36 citations), Infectious Diseases (83 citations) and Clinical Biochemistry (27 citations). Maïthé Clerc has collaborated with scholars based in France, Morocco and Belize. Frequent co-authors include Bertille de Barbeyrac, Cécile Marie Bébéar, Hélène Renaudin, Sabine Pereyre, Chloé Le Roy, Alain Charron, Olivia Peuchant, Agathe Subtil, Armelle Ménard and Françis Mégraud. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Microbiology, Eurosurveillance, Clinical Microbiology and Infection and Journal of Microbiological Methods.
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.