Frédéric Cotton

113 papers receiving 2.2k citations

Peers

Frédéric Cotton
Comparison fields: 5 of 112
  • Applied Microbiology and Biotechnology 192
  • Genetics 483
  • Pharmacology 700
  • Molecular Medicine 189
  • Hematology 368
Replace Mario Regazzi with:
Mario Regazzi Italy
Hans Georg Eichler Austria
Veronique Stove Belgium
Martina Kinzig Germany
Jacobus Ungerer Australia
Dominique Levêque France
Edward Abraham United States
Reinier M. van Hest Netherlands
Θωμάς Τσαγανός Greece
John G. Gambertoglio United States
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Cotton

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Cotton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011176
2
Elevated β-lactam concentrations associated with neurological deterioration in ICU septic patients.
2015107
3 200892
4 201282
5 201280
6 200876
7 201471
8 201267
9 200955
10 199953
11 201250
12 201247
13 201847
14 200845
15 201342
16 202040
17 201339
18 201637
19 200536
20 201333

About Frédéric Cotton

Frédéric Cotton is a scholar working on Genetics, Pharmacology, Hematology, Infectious Diseases and Epidemiology, having authored 120 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (31 papers), Antibiotics Pharmacokinetics and Efficacy (23 papers), Iron Metabolism and Disorders (11 papers), Neonatal Health and Biochemistry (9 papers), Erythrocyte Function and Pathophysiology (8 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers), Sepsis Diagnosis and Treatment (6 papers) and Blood groups and transfusion (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (192 citations), Genetics (483 citations), Pharmacology (700 citations), Molecular Medicine (189 citations) and Hematology (368 citations). Frédéric Cotton has collaborated with scholars based in Belgium, France and Italy. Frequent co-authors include Béatrice Gulbis, Jean‐Louis Vincent, Fabio Silvio Taccone, Frédérique Jacobs, Fleur Wolff, Maya Hites, Daniel De Backer, Pascale Macours, Lucie Seyler and F. Vertongen. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Medical Screening, International Journal of Antimicrobial Agents, Antimicrobial Agents and Chemotherapy and Clinical Biochemistry.

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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