Philippe Riegel

39 papers receiving 1.1k citations

Peers

Philippe Riegel
Comparison fields: 5 of 93
  • Microbiology 65
  • Endocrinology 296
  • Clinical Biochemistry 301
  • Infectious Diseases 413
  • Parasitology 124
Replace Daniel Goldenberger with:
Daniel Goldenberger Switzerland
Kit-Wah Leung Hong Kong
Seanne P. Buckwalter United States
P. Riegel France
Kiyofumi Ohkusu Japan
Antônio Carlos Paes Brazil
Daniel R. Hoogestraat United States
Chandler C. Roe United States
Roger E. Morey United States
Paul W. Lepp United States
Philippe Riegel relative to Daniel Goldenberger Switzerland Daniel Goldenberger's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philippe Riegel

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Riegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200473
2 199972
3 200666
4 201060
5 199959
6 201755
7 201555
8 200451
9 199851
10 200850
11 201845
12 200444
13 200041
14 200439
15 201634
16 200933
17 200633
18 200027
19 200526
20 201926

About Philippe Riegel

Philippe Riegel is a scholar working on Epidemiology, Clinical Biochemistry, Molecular Biology, Infectious Diseases and Endocrinology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (15 papers), Infective Endocarditis Diagnosis and Management (12 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Diphtheria, Corynebacterium, and Tetanus (10 papers), Streptococcal Infections and Treatments (9 papers), Bacterial biofilms and quorum sensing (7 papers), Genomics and Phylogenetic Studies (6 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Microbiology (65 citations), Endocrinology (296 citations), Clinical Biochemistry (301 citations), Infectious Diseases (413 citations) and Parasitology (124 citations). Philippe Riegel has collaborated with scholars based in France, Benin and Belgium. Frequent co-authors include Gilles Prévost, Yves Hansmann, H. Monteil, Xavier Argemi, Colette Harf‐Monteil, Luc Devriese, J. Hommez, Mario Vaneechoutte, Freddy Haesebrouck and Carole Mathelin. Their work appears in journals such as Journal of Clinical Microbiology, International Journal of Medical Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Diagnostic Microbiology and Infectious Disease and Toxins.

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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