William Couet

172 papers receiving 4.7k citations

Peers

William Couet
Comparison fields: 5 of 131
  • Molecular Medicine 1.5k
  • Pharmaceutical Science 708
  • Pharmacology 1.5k
  • Applied Microbiology and Biotechnology 171
  • Biophysics 256
Replace Tohru Mizushima with:
Tohru Mizushima Japan
Marie‐Paule Mingeot‐Leclercq Belgium
Françoise Van Bambeke Belgium
Tony Velkov Australia
Radha K. Maheshwari United States
Jing Zhang China
Alicia Rodríguez‐Gascón Spain
Markus Zeitlinger Austria
Fritz Sörgel Germany
Julia A. Balfour New Zealand
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Citations per field
00.5×8.8×
Tohru Mizushima · 1×
Citations per year

Countries citing papers authored by William Couet

Since Specialization
Citations

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

Fields of papers citing papers by William Couet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014283
2 2006213
3 2014169
4 1999161
5 2017144
6 2010130
7 1985118
8 2011116
9 2003110
10 201395
11 201192
12 200489
13 200889
14 200088
15 201387
16 198577
17 201172
18 200070
19 201469
20 198467

About William Couet

William Couet is a scholar working on Pharmacology, Molecular Medicine, Oncology, Molecular Biology and Epidemiology, having authored 175 papers that have together received 4.8k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (86 papers), Antibiotic Resistance in Bacteria (49 papers), Drug Transport and Resistance Mechanisms (35 papers), Pharmacological Effects and Toxicity Studies (18 papers), Inhalation and Respiratory Drug Delivery (17 papers), Epilepsy research and treatment (15 papers), Pneumonia and Respiratory Infections (13 papers) and Advanced Drug Delivery Systems (9 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Pharmaceutical Science (708 citations), Pharmacology (1.5k citations), Applied Microbiology and Biotechnology (171 citations) and Biophysics (256 citations). William Couet has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Sandrine Marchand, Nicolas Grégoire, Jean‐Christophe Olivier, Olivier Mimoz, Patrice Gobin, Isabelle Lamarche, Julien Brillault, Jean‐Pierre Benoît, Frédéric Tewes and Christine Dufès. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Pharmaceutical Research, Journal of Antimicrobial Chemotherapy, European Journal of Pharmaceutical Sciences and Journal of Pharmaceutical Sciences.

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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