Philippe Gilot
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Antimicrobial Resistance in Staphylococcus
- Endocrinology top 2%
- Escherichia coli research studies
Papers in
- Epidemiology 17
- Mycobacterium research and diagnosis 14
- Co-authors
- Jean Content (6 shared papers)Martine Braibant (2 shared papers)C. Cocito (9 shared papers)M Coene (9 shared papers)Myriam De Kesel (5 shared papers)Gérard Lina (1 shared paper)Thierry Cochard (1 shared paper)B. Poutrel (1 shared paper)
In The Last Decade
Philippe Gilot
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 640
- Endocrinology 175
- Biotechnology 268
- Molecular Medicine 125
- Small Animals 165
Countries citing papers authored by Philippe Gilot
This map shows the geographic impact of Philippe Gilot'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 Philippe Gilot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Gilot more than expected).
Fields of papers citing papers by Philippe Gilot
This network shows the impact of papers produced by Philippe Gilot. 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 Philippe Gilot. The network helps show where Philippe Gilot may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Gilot, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 258 | |
| 2 | 2002 | 221 | |
| 3 | 1994 | 212 | |
| 4 | 1999 | 104 | |
| 5 | 2006 | 57 | |
| 6 | 1996 | 57 | |
| 7 | 1993 | 45 | |
| 8 | 2009 | 41 | |
| 9 | 2004 | 40 | |
| 10 | 1992 | 39 | |
| 11 | 2008 | 39 | |
| 12 | 1999 | 38 | |
| 13 | 2008 | 37 | |
| 14 | 2003 | 37 | |
| 15 | 1994 | 32 | |
| 16 | 1993 | 30 | |
| 17 | 2010 | 27 | |
| 18 | 2008 | 27 | |
| 19 | 1994 | 23 | |
| 20 | 2002 | 21 |
About Philippe Gilot
Philippe Gilot is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Biotechnology and Food Science, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (14 papers), Neonatal and Maternal Infections (11 papers), Listeria monocytogenes in Food Safety (9 papers), Streptococcal Infections and Treatments (8 papers), Salmonella and Campylobacter epidemiology (7 papers), Pharmacological Effects of Natural Compounds (7 papers), Escherichia coli research studies (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Infectious Diseases (640 citations), Endocrinology (175 citations), Biotechnology (268 citations), Molecular Medicine (125 citations) and Small Animals (165 citations). Philippe Gilot has collaborated with scholars based in France, Belgium and Lebanon. Frequent co-authors include Jean Content, Martine Braibant, C. Cocito, M Coene, Myriam De Kesel, Gérard Lina, Thierry Cochard, B. Poutrel, Pascal Vannuffel and P Poupart. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Bacteriology, Canadian Journal of Microbiology, Microbiology and Infection and Immunity.
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.