E. Nagy

3.4k citations
52 papers · 2.1k · h-index 21

Impact in

Papers in

E. Nagy

51 papers receiving 2.0k citations

Peers

E. Nagy
Comparison fields: 5 of 109
  • Clinical Biochemistry 695
  • Periodontics 268
  • Applied Microbiology and Biotechnology 88
  • Molecular Medicine 198
  • Endocrinology 201
Replace Jonathan H. Cove with:
Jonathan H. Cove United Kingdom
Ingo Sobottka Germany
S M Finegold United States
Yoshitomo Morinaga Japan
Domenico D’Antonio Italy
Reiner Schaumann Germany
Robert A. Whiley United Kingdom
Gerri S. Hall United States
Gilles Quesne France
Aref Shariati Iran
E. Nagy relative to Jonathan H. Cove United Kingdom Jonathan H. Cove's profile →
Citations per field
00.5×2.8×
Jonathan H. Cove · 1×
Citations per year

Countries citing papers authored by E. Nagy

Since Specialization
Citations

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

Fields of papers citing papers by E. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998266
2 2010204
3 2007188
4 2005186
5 2009144
6 2006112
7 200793
8 201891
9 201367
10 201464
11 201255
12 201847
13 200647
14 199242
15 200138
16 201937
17 200834
18 201633
19
ESCMID Study group on Antimicrobial resistance in anaerobic bacteria
201133
20 200524

About E. Nagy

E. Nagy is a scholar working on Clinical Biochemistry, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (19 papers), Streptococcal Infections and Treatments (12 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Diphtheria, Corynebacterium, and Tetanus (7 papers), Antibiotic Resistance in Bacteria (7 papers), Infective Endocarditis Diagnosis and Management (6 papers), Bacteriophages and microbial interactions (4 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Clinical Biochemistry (695 citations), Periodontics (268 citations), Applied Microbiology and Biotechnology (88 citations), Molecular Medicine (198 citations) and Endocrinology (201 citations). E. Nagy has collaborated with scholars based in Hungary, United Kingdom and Denmark. Frequent co-authors include Edit Urbán, I. Szöke, Carl Erik Nord, Katalin Nagy, I Sonkodi, H. N. Newman, Ulrik Stenz Justesen, Alexander V. Veselov, David L. Gibbs and Daniel J. Diekema. Their work appears in journals such as Clinical Microbiology and Infection, Journal of Medical Microbiology, Oral Oncology, Journal of Clinical Microbiology and Clinical Infectious Diseases.

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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