J C Pechère

65 papers receiving 1.7k citations

Peers

J C Pechère
Comparison fields: 5 of 99
  • Molecular Medicine 786
  • Applied Microbiology and Biotechnology 97
  • Endocrinology 245
  • Pharmacology 581
  • Parasitology 166
Replace Suzanne Chamberland with:
Suzanne Chamberland Canada
Jean-Claude Péchère Switzerland
Guy Gerbaud France
Johanne Blais United States
W. Edmund Farrar United States
Patrizia Pecile Italy
Agnès Girard United States
A. Bryskier France
Linda M. Weigel United States
José Claudio Pérez-Díaz Spain
J C Pechère relative to Suzanne Chamberland Canada Suzanne Chamberland's profile →
Citations per field
00.5×1.7×
Suzanne Chamberland · 1×
Citations per year

Countries citing papers authored by J C Pechère

Since Specialization
Citations

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

Fields of papers citing papers by J C Pechère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J C Pechère. 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 J C Pechère. The network helps show where J C Pechère may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996123
2 1992117
3 198995
4 198694
5 199587
6 198787
7 198874
8 199071
9 199268
10 199064
11 200462
12 199555
13 199053
14 200149
15 198745
16 198240
17 199137
18 199037
19 199136
20 199134

About J C Pechère

J C Pechère is a scholar working on Molecular Medicine, Pharmacology, Infectious Diseases, Epidemiology and Parasitology, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (37 papers), Antibiotics Pharmacokinetics and Efficacy (32 papers), Pneumonia and Respiratory Infections (11 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Toxoplasma gondii Research Studies (8 papers), Salmonella and Campylobacter epidemiology (6 papers), Antibiotic Use and Resistance (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Molecular Medicine (786 citations), Applied Microbiology and Biotechnology (97 citations), Endocrinology (245 citations), Pharmacology (581 citations) and Parasitology (166 citations). J C Pechère has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Huilan Chang, Raymond Auckenthaler, Mehrbanou Michea-Hamzehpour, Márcia Almeida de Melo, Thilo Köhler, F. Bellido, Giulio Gabbiani, Patrick Plésiat, Robert E. W. Hancock and J. Deshusses. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, International Journal of Antimicrobial Agents and Infection.

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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