P E Coudron

38 papers receiving 1.4k citations

Peers

P E Coudron
Comparison fields: 5 of 96
  • Molecular Medicine 690
  • Endocrinology 379
  • Applied Microbiology and Biotechnology 120
  • Clinical Biochemistry 376
  • Infectious Diseases 447
Replace J Martínez-Beltrán with:
J Martínez-Beltrán Spain
An-Jing Kuo Taiwan
Masahiro Shimojima Japan
Fabrice Compain France
Walter H. Traub Germany
Tatiana Bogdanovich United States
Hazel M. Aucken United Kingdom
Zeqing Wei China
A Buré France
Mohammad M. Feizabadi Iran
P E Coudron relative to J Martínez-Beltrán Spain J Martínez-Beltrán's profile →
Citations per field
00.5×2.6×
J Martínez-Beltrán · 1×
Citations per year

Countries citing papers authored by P E Coudron

Since Specialization
Citations

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

Fields of papers citing papers by P E Coudron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P E Coudron. 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 P E Coudron. The network helps show where P E Coudron may publish in the future.

Co-authors

The 25 scholars most cited alongside P E Coudron, 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 P E Coudron Line = papers co-authored together P E Coudron 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 2000195
2 2005166
3 1997131
4 199284
5 198680
6 199874
7 200373
8 198470
9 199255
10 199241
11 198940
12 199039
13 198338
14 199534
15 198732
16 201328
17 198728
18 199128
19 199522
20 201121

About P E Coudron

P E Coudron is a scholar working on Infectious Diseases, Surgery, Epidemiology, Clinical Biochemistry and Endocrinology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial Identification and Susceptibility Testing (9 papers), Helicobacter pylori-related gastroenterology studies (9 papers), Antibiotic Resistance in Bacteria (8 papers), Infective Endocarditis Diagnosis and Management (5 papers), Veterinary medicine and infectious diseases (5 papers), Diphtheria, Corynebacterium, and Tetanus (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). The work is most often cited by research in Molecular Medicine (690 citations), Endocrinology (379 citations), Applied Microbiology and Biotechnology (120 citations), Clinical Biochemistry (376 citations) and Infectious Diseases (447 citations). P E Coudron has collaborated with scholars based in United States. Frequent co-authors include Ellen Smith Moland, Sheldon M. Markowitz, Kenneth S. Thomson, Christine C. Sanders, Harry P. Dalton, Charles W. Stratton, Edward S. Wong, Nancy D. Hanson, Gordon L. Archer and Michael W. Climo. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Annals of Internal Medicine and The American Journal of Medicine.

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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