Annick Gauthier

2.1k citations
40 papers · 1.7k · h-index 21

Impact in

  • Endocrinology top 0.5%
    • Escherichia coli research studies
    • Vibrio bacteria research studies
    • Pharmacogenetics and Drug Metabolism

Papers in

Annick Gauthier

39 papers receiving 1.6k citations

Peers

Annick Gauthier
Comparison fields: 5 of 108
  • Endocrinology 508
  • Pharmacology 315
  • Molecular Medicine 159
  • Infectious Diseases 289
  • Equine 21
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Dong‐Kwon Rhee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Annick Gauthier

Since Specialization
Citations

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

Fields of papers citing papers by Annick Gauthier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of common organic solvents on in vitro cytochrome P450-mediated metabolic activities in human liver microsomes.
1998263
2
In vitro comparison of cytochrome P450-mediated metabolic activities in human, dog, cat, and horse.
1997163
3 2003135
4 2003107
5 200584
6 200182
7 200177
8 199972
9 200271
10 201366
11 199965
12 200151
13 201550
14 199741
15 200639
16 200036
17
An experimental animal model of aluminium overload.
199436
18 201333
19 199533
20 200325

About Annick Gauthier

Annick Gauthier is a scholar working on Endocrinology, Epidemiology, Plant Science, Infectious Diseases and Genetics, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (10 papers), Bacterial Genetics and Biotechnology (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Aluminum toxicity and tolerance in plants and animals (4 papers), Antibiotic Resistance in Bacteria (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology (508 citations), Pharmacology (315 citations), Molecular Medicine (159 citations), Infectious Diseases (289 citations) and Equine (21 citations). Annick Gauthier has collaborated with scholars based in Canada, Belgium and United States. Frequent co-authors include B. Brett Finlay, Nathalie Chauret, Deborah A. Nicoll‐Griffith, José L. Puente, Rebekah DeVinney, Jean‐Frédéric Martin, Myriam de Grado, Raymond J. Andersen, Rob W. M. van Soest and Robert R. Crichton. Their work appears in journals such as Infection and Immunity, Current Biology, Antimicrobial Agents and Chemotherapy, Gastroenterology and Cell 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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