C. Berhin

32 papers receiving 1.1k citations

Peers

C. Berhin
Comparison fields: 5 of 83
  • Microbiology 132
  • Molecular Medicine 695
  • Applied Microbiology and Biotechnology 148
  • Endocrinology 347
  • Clinical Biochemistry 327
Replace Peggy C. Kohner with:
Peggy C. Kohner United States
Jennifer K. Bender Germany
Pilar Villalón Spain
Karina Kennedy Australia
Florence Brossier France
María J. Medina-Pascual Spain
Fabrice Compain France
Chang Ki Kim South Korea
F. W. Goldstein France
Yunsop Chong South Korea
C. Berhin relative to Peggy C. Kohner United States Peggy C. Kohner's profile →
Citations per field
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Peggy C. Kohner · 1×
Citations per year

Countries citing papers authored by C. Berhin

Since Specialization
Citations

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

Fields of papers citing papers by C. Berhin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010113
2 200684
3 200683
4 201381
5 201174
6 201065
7 201156
8 201355
9 201055
10 200653
11 201047
12 201546
13 201641
14 201436
15 201733
16 201931
17 200729
18 201226
19 201525
20 201624

About C. Berhin

C. Berhin is a scholar working on Molecular Medicine, Endocrinology, Epidemiology, Clinical Biochemistry and Infectious Diseases, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (26 papers), Enterobacteriaceae and Cronobacter Research (13 papers), Bacterial Identification and Susceptibility Testing (10 papers), Mycobacterium research and diagnosis (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Urinary Tract Infections Management (3 papers). The work is most often cited by research in Microbiology (132 citations), Molecular Medicine (695 citations), Applied Microbiology and Biotechnology (148 citations), Endocrinology (347 citations) and Clinical Biochemistry (327 citations). C. Berhin has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include Y. Glupczynski, Pierre Bogaerts, Te‐Din Huang, Caroline Bauraing, Michèle Janssens, G. Wauters, A. Deplano, T.-D. Huang, Olivier Denis and Hector Rodriguez‐Villalobos. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Clinical Microbiology and Infection and Eurosurveillance.

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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