J. C. Pechèré

37 papers receiving 1.6k citations

Peers

J. C. Pechèré
Comparison fields: 5 of 116
  • Applied Microbiology and Biotechnology 210
  • Molecular Medicine 408
  • Endocrinology 108
  • Parasitology 132
  • Pharmacology 311
Replace Peter N.R. Heseltine with:
Peter N.R. Heseltine United States
Franco Paradisi Italy
A.‐S. Malmborg Sweden
Patrick De Mol Belgium
Yves Van Laethem Belgium
María-José Giménez Spain
Stefano Di Bella Italy
Abhijit M. Bal United Kingdom
Emil Lesho United States
Mohammad Asgharzadeh Iran
J. C. Pechèré relative to Peter N.R. Heseltine United States Peter N.R. Heseltine's profile →
Citations per field
00.5×1.5×2.1×
Peter N.R. Heseltine · 1×
Citations per year

Countries citing papers authored by J. C. Pechèré

Since Specialization
Citations

This map shows the geographic impact of J. C. Pechèré'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. Pechèré 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. Pechèré more than expected).

Fields of papers citing papers by J. C. Pechèré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003305
2 2001169
3 1997164
4
Role of TNF and IL-1 in infections with Toxoplasma gondii.
1990154
5 1989126
6 2001113
7 199480
8 199265
9 200153
10 199244
11 200241
12 198639
13 199937
14 199235
15 197634
16 199234
17 199632
18 198825
19 199824
20
Azithromycin reduces the production of virulence factors in Pseudomonas aeruginosa by inhibiting quorum sensing.
200122

About J. C. Pechèré

J. C. Pechèré is a scholar working on Pharmacology, Molecular Medicine, Epidemiology, Applied Microbiology and Biotechnology and Surgery, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (11 papers), Antibiotic Resistance in Bacteria (11 papers), Antibiotic Use and Resistance (7 papers), Infectious Aortic and Vascular Conditions (5 papers), Pneumonia and Respiratory Infections (5 papers), Vascular Procedures and Complications (4 papers), Toxoplasma gondii Research Studies (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (210 citations), Molecular Medicine (408 citations), Endocrinology (108 citations), Parasitology (132 citations) and Pharmacology (311 citations). J. C. Pechèré has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Huilan Chang, Georges E. Grau, M. Michéa-Hamzehpour, William A. Craig, H. Mattie, Thilo Köhler, Kazuhiro Tateda, Tetsuya Matsumoto, Manabu Horikawa and Masaji Ishiguro. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents, Infection and Immunity, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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.

Explore authors with similar magnitude of impact