Catherine Dauga
Impact in
- Endocrinology top 5%
- Microbiology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 10
- Gut microbiota and health 4
- Ecology 12
- Microbial Community Ecology and Physiology 9
- Co-authors
- Patrick A. D. Grimont (12 shared papers)Anna‐Bella Failloux (7 shared papers)Marie Vazeille (5 shared papers)Abdelghani Sghir (5 shared papers)Denis Le Paslier (4 shared papers)Laurence Mousson (6 shared papers)Francis Schaffner (1 shared paper)Pierre Dehoux (3 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (5 papers)Research in Microbiology (4 papers)Scientific Reports (3 papers)Journal of Medical Microbiology (2 papers)BMC Genomics (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Catherine Dauga
50 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Endocrinology 131
- Microbiology 116
- Parasitology 123
- Ecology 452
- Infectious Diseases 288
Countries citing papers authored by Catherine Dauga
This map shows the geographic impact of Catherine Dauga'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 Catherine Dauga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Dauga more than expected).
Fields of papers citing papers by Catherine Dauga
This network shows the impact of papers produced by Catherine Dauga. 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 Catherine Dauga. The network helps show where Catherine Dauga may publish in the future.
Co-authors
The 25 scholars most cited alongside Catherine Dauga, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 175 | |
| 2 | 2012 | 172 | |
| 3 | 2002 | 169 | |
| 4 | 1996 | 112 | |
| 5 | 2011 | 102 | |
| 6 | 2005 | 102 | |
| 7 | 1997 | 98 | |
| 8 | 1998 | 81 | |
| 9 | 2004 | 79 | |
| 10 | 1992 | 75 | |
| 11 | 2008 | 73 | |
| 12 | 2003 | 66 | |
| 13 | 2008 | 65 | |
| 14 | 2005 | 60 | |
| 15 | 2008 | 57 | |
| 16 | 1996 | 54 | |
| 17 | 2016 | 47 | |
| 18 | 2022 | 43 | |
| 19 | 2000 | 41 | |
| 20 | 2003 | 40 |
About Catherine Dauga
Catherine Dauga is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Surgery and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (9 papers), Helicobacter pylori-related gastroenterology studies (8 papers), Mosquito-borne diseases and control (7 papers), Plant Pathogenic Bacteria Studies (5 papers), Mycobacterium research and diagnosis (5 papers), Gut microbiota and health (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Endocrinology (131 citations), Microbiology (116 citations), Parasitology (123 citations), Ecology (452 citations) and Infectious Diseases (288 citations). Catherine Dauga has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Patrick A. D. Grimont, Anna‐Bella Failloux, Marie Vazeille, Abdelghani Sghir, Denis Le Paslier, Laurence Mousson, Francis Schaffner, Pierre Dehoux, Isabelle Miras and Elisabeth Ageron. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Research in Microbiology, Scientific Reports, Journal of Medical Microbiology and BMC Genomics.
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.