FREDERIC JAY COTTON

118 papers receiving 2.4k citations

Peers

FREDERIC JAY COTTON
Comparison fields: 5 of 119
  • Applied Microbiology and Biotechnology 216
  • Genetics 523
  • Pharmacology 754
  • Molecular Medicine 195
  • Hematology 407
Replace Mario Regazzi with:
Mario Regazzi Italy
Hans Georg Eichler Austria
C. E. Staatz Australia
Veronique V. Stove Belgium
Dominique Levêque France
Martina Kinzig Germany
Reinier M. van Hest Netherlands
Edward Abraham United States
Edith Lackner Austria
John G. Gambertoglio United States
FREDERIC JAY COTTON relative to Mario Regazzi Italy Mario Regazzi's profile →
Citations per field
00.5×2×4×6.5×
Mario Regazzi · 1×
Citations per year

Countries citing papers authored by FREDERIC JAY COTTON

Since Specialization
Citations

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

Fields of papers citing papers by FREDERIC JAY COTTON

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by FREDERIC JAY 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 FREDERIC JAY COTTON. The network helps show where FREDERIC JAY COTTON may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011190
2
Elevated β-lactam concentrations associated with neurological deterioration in ICU septic patients.
2015114
3 200897
4 201286
5 201284
6 200879
7 201475
8 201269
9 199959
10 200956
11 201850
12 201250
13 201249
14 200846
15 201345
16 201643
17 201342
18 201440
19 202040
20 200537

About FREDERIC JAY COTTON

FREDERIC JAY COTTON is a scholar working on Genetics, Pharmacology, Hematology, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 124 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (28 papers), Antibiotics Pharmacokinetics and Efficacy (25 papers), Iron Metabolism and Disorders (12 papers), Erythrocyte Function and Pathophysiology (9 papers), Neonatal Health and Biochemistry (8 papers), Sepsis Diagnosis and Treatment (7 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Blood groups and transfusion (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (216 citations), Genetics (523 citations), Pharmacology (754 citations), Molecular Medicine (195 citations) and Hematology (407 citations). FREDERIC JAY COTTON has collaborated with scholars based in Belgium, Italy and France. 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 Scandinavian Journal of Clinical and Laboratory Investigation.

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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