Mathilde Lescat

2.9k citations
25 papers · 591 · h-index 12

Impact in

Papers in

Mathilde Lescat

24 papers receiving 585 citations

Peers

Mathilde Lescat
Comparison fields: 5 of 88
  • Molecular Medicine 266
  • Endocrinology 217
  • Applied Microbiology and Biotechnology 33
  • Pollution 86
  • Food Science 98
Replace Jennifer L. Cottell with:
Jennifer L. Cottell United Kingdom
Yingshun Zhou China
Leah W. Roberts Australia
Rapee Thummeepak Thailand
Junwan Lu China
Nishant Nandanwar India
Nicole Lerminiaux Canada
Laura Ioana Popa Romania
Teresa Gil‐Gil Spain
Mathilde Lescat relative to Jennifer L. Cottell United Kingdom Jennifer L. Cottell's profile →
Citations per field
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Jennifer L. Cottell · 1×
Citations per year

Countries citing papers authored by Mathilde Lescat

Since Specialization
Citations

This map shows the geographic impact of Mathilde Lescat'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 Mathilde Lescat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Lescat more than expected).

Fields of papers citing papers by Mathilde Lescat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathilde Lescat. 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 Mathilde Lescat. The network helps show where Mathilde Lescat may publish in the future.

Co-authors

The 25 scholars most cited alongside Mathilde Lescat, 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 Mathilde Lescat Line = papers co-authored together Mathilde Lescat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201289
2 200880
3 201860
4 201655
5 201853
6 201051
7 201850
8 200930
9 201920
10 201015
11 202112
12 201411
13 201810
14 202310
15 20099
16 20219
17 20216
18 20045
19 20094
20 20253

About Mathilde Lescat

Mathilde Lescat is a scholar working on Endocrinology, Molecular Medicine, Epidemiology, Molecular Biology and Genetics, having authored 25 papers that have together received 591 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Escherichia coli research studies (9 papers), Bacterial Genetics and Biotechnology (5 papers), Pneumonia and Respiratory Infections (5 papers), Vibrio bacteria research studies (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Gut microbiota and health (4 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Molecular Medicine (266 citations), Endocrinology (217 citations), Applied Microbiology and Biotechnology (33 citations), Pollution (86 citations) and Food Science (98 citations). Mathilde Lescat has collaborated with scholars based in France, Switzerland and French Guiana. Frequent co-authors include Érick Denamur, Laurent Poirel, Patrice Nordmann, Olivier Tenaillon, Olivier Clermont, Sara Dion, Mohamed Ghalayini, Jérémy Glodt, Claire O’Brien and David M. Gordon. Their work appears in journals such as Clinical Microbiology and Infection, Antimicrobial Agents and Chemotherapy, Diagnostic Microbiology and Infectious Disease, Molecular Ecology and Environmental Microbiology Reports.

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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