Csaba Fehér

23 papers receiving 477 citations

Peers

Csaba Fehér
Comparison fields: 5 of 70
  • Applied Microbiology and Biotechnology 104
  • Molecular Medicine 180
  • Clinical Biochemistry 96
  • Pharmacology 157
  • Infectious Diseases 119
Replace J. P. Bédos with:
J. P. Bédos France
Ariadna Padullés Spain
Darunee Chotiprasitsakul Thailand
Nicole Pagani Italy
Weihong Fan United States
Jared Olson United States
Andrea Parisini Italy
Athena L V Hobbs United States
Kajal Larson United States
Myrto Eleni Flokas United States
Csaba Fehér relative to J. P. Bédos France J. P. Bédos's profile →
Citations per field
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J. P. Bédos · 1×
Citations per year

Countries citing papers authored by Csaba Fehér

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Fehér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 200550
3 201844
4 201438
5 201436
6 201832
7 201929
8 201629
9 202025
10 201620
11 201620
12 201718
13 201918
14 201418
15 202013
16 201612
17 20195
18 20184
19 20212
20 20212

About Csaba Fehér

Csaba Fehér is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Virology and Clinical Biochemistry, having authored 23 papers that have together received 482 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (7 papers), HIV Research and Treatment (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Gut microbiota and health (4 papers), Antibiotic Resistance in Bacteria (4 papers), Gastrointestinal motility and disorders (3 papers), HIV/AIDS Research and Interventions (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (104 citations), Molecular Medicine (180 citations), Clinical Biochemistry (96 citations), Pharmacology (157 citations) and Infectious Diseases (119 citations). Csaba Fehér has collaborated with scholars based in Spain, Italy and Netherlands. Frequent co-authors include Àlex Soriano, Josep Mensa, Francesc Marco, Laura Morata, José Antonio Martínez, Carolina García‐Vidal, Pedro Puerta‐Alcalde, Olga Rodríguez-Núñez, Celia Cardozo and Ana del Rı́o. Their work appears in journals such as Infectious Diseases and Therapy, Clinical Microbiology and Infection, Vaccines, European Journal of Clinical Microbiology & Infectious Diseases and Journal of Antimicrobial 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.

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