Claude Parsot
- Endocrinology top 0.01%
- Escherichia coli research studies 60
- Vibrio bacteria research studies 30
- Molecular Medicine top 0.5%
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 25
- Clostridium difficile and Clostridium perfringens research 9
- Genetics top 0.2%
- Bacterial Genetics and Biotechnology 32
- Yersinia bacterium, plague, ectoparasites research 7
- Microbiology top 0.5%
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- Salmonella and Campylobacter epidemiology 12
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- Amino Acid Enzymes and Metabolism 8
- Co-authors
- Philippe SansonettiRobert MénardAbdelmounaaïm AllaouiJohn J. MekalanosAnne‐Laure PagePierre GounonPhilippe J. SansonettiKirsten Niebuhr
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Claude Parsot
85 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Endocrinology 5.6k
- Molecular Medicine 704
- Infectious Diseases 2.4k
- Genetics 3.5k
- Microbiology 481
Countries citing papers authored by Claude Parsot
This map shows the geographic impact of Claude Parsot'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 Claude Parsot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Parsot more than expected).
Fields of papers citing papers by Claude Parsot
This network shows the impact of papers produced by Claude Parsot. 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 Claude Parsot. The network helps show where Claude Parsot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claude Parsot, 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 | 2015 | 17 | |
| 2 | 2007 | 45 | |
| 3 | 2006 | 44 | |
| 4 | 2005 | 243 | |
| 5 | 2005 | 264 | |
| 6 | 2005 | 97 | |
| 7 | Chaperones of the type III secretion pathway: jacks of all trades: jacks of all trades | 2002 | 1 |
| 8 | 2002 | 116 | |
| 9 | 2001 | 134 | |
| 10 | 2000 | 301 | |
| 11 | 2000 | 32 | |
| 12 | 1995 | 98 | |
| 13 | 1995 | 41 | |
| 14 | 1995 | 156 | |
| 15 | 1992 | 7 | |
| 16 | 1992 | 150 | |
| 17 | 1988 | 19 | |
| 18 | 1988 | 28 | |
| 19 | 1987 | 14 | |
| 20 | 1984 | 2 |
About Claude Parsot
Claude Parsot is a scholar working on Endocrinology, Infectious Diseases and Genetics, having authored 85 papers that have together received 8.9k indexed citations. Recurring topics across this work include Escherichia coli research studies (60 papers), Bacterial Genetics and Biotechnology (32 papers), Vibrio bacteria research studies (30 papers), Viral gastroenteritis research and epidemiology (25 papers), Salmonella and Campylobacter epidemiology (12 papers), Clostridium difficile and Clostridium perfringens research (9 papers), Amino Acid Enzymes and Metabolism (8 papers) and Yersinia bacterium, plague, ectoparasites research (7 papers). The work is most often cited by research in Endocrinology (5.6k citations), Molecular Medicine (704 citations) and Infectious Diseases (2.4k citations). Claude Parsot has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Philippe Sansonetti, Robert Ménard, Abdelmounaaïm Allaoui, John J. Mekalanos, Anne‐Laure Page, Pierre Gounon, Philippe J. Sansonetti, Kirsten Niebuhr, H d'Hauteville and Victor J. DiRita. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.