J C Pechère

64 papers receiving 1.6k citations

Peers

J C Pechère
Comparison fields: 5 of 102
  • Molecular Medicine 738
  • Applied Microbiology and Biotechnology 98
  • Endocrinology 232
  • Pharmacology 570
  • Parasitology 136
Replace Suzanne Chamberland with:
Suzanne Chamberland Canada
Jean-Claude Péchère Switzerland
G Gerbaud France
Patrick De Mol Belgium
Thomas D. Gootz United States
Göte Swedberg Sweden
Johanne Blais United States
James A. Retsema United States
Patrizia Pecile Italy
Cristina Seral Spain
J C Pechère relative to Suzanne Chamberland Canada Suzanne Chamberland's profile →
Citations per field
00.5×1.5×
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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992111
2 1996109
3 198985
4 198684
5 198780
6 199579
7 198869
8 199067
9 199266
10 199059
11 200456
12 199551
13 198745
14 200144
15 199041
16 198238
17 199137
18 199136
19 199132
20 199031

About J C Pechère

J C Pechère is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Pharmacology, Parasitology and Clinical Biochemistry, having authored 65 papers that have together received 1.8k 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 (738 citations), Applied Microbiology and Biotechnology (98 citations), Endocrinology (232 citations), Pharmacology (570 citations) and Parasitology (136 citations). J C Pechère has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Huilan Chang, R Auckenthaler, M. Michéa-Hamzehpour, Márcia Almeida de Melo, Thilo Köhler, F. Bellido, G 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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