Philippe Gilot

2k citations
45 papers · 1.7k · h-index 22

Impact in

Papers in

Philippe Gilot

45 papers receiving 1.6k citations

Peers

Philippe Gilot
Comparison fields: 5 of 63
  • Endocrinology 176
  • Biotechnology 225
  • Infectious Diseases 499
  • Epidemiology 445
  • Molecular Medicine 44
Replace Jacek Bielecki with:
Jacek Bielecki Poland
William R. Schwan United States
Christoph U. Schoen Germany
Laurent Méreghetti France
Angel Adrian Cataldi Argentina
Adriana Renzoni Switzerland
Robert A. Akins United States
Heinz P. R. Seeliger Germany
Sylvie Michaux‐Charachon France
Helen S. Garmory United Kingdom
Philippe Gilot relative to Jacek Bielecki Poland Jacek Bielecki's profile →
Citations per field
00.5×2×3×3.8×
Jacek Bielecki · 1×
Citations per year

Countries citing papers authored by Philippe Gilot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philippe Gilot Line = papers co-authored together Philippe Gilot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000281
2 2002226
3 1994218
4 1999118
5 199658
6 200656
7 199346
8 200346
9 199942
10 200441
11 200941
12 199240
13 200839
14 200837
15 199433
16 199331
17 200828
18 201028
19 200226
20 199424

About Philippe Gilot

Philippe Gilot is a scholar working on Biotechnology, Endocrinology, Epidemiology, Genetics and Infectious Diseases, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (12 papers), Bacterial Genetics and Biotechnology (11 papers), Listeria monocytogenes in Food Safety (8 papers), Escherichia coli research studies (7 papers), Neonatal and Maternal Infections (5 papers), Streptococcal Infections and Treatments (2 papers), Polyamine Metabolism and Applications (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Endocrinology (176 citations), Biotechnology (225 citations), Infectious Diseases (499 citations), Epidemiology (445 citations) and Molecular Medicine (44 citations). Philippe Gilot has collaborated with scholars based in France, Belgium and Lebanon. Frequent co-authors include Jean Content, Martine Braibant, Carlo G. COCITO, M Coene, Myriam De Kesel, Thierry Cochard, Gérard Lina, B. Poutrel, Pascal Vannuffel and Pascale POUPART. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Bacteriology, Microbiology, Canadian Journal of 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.

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