Elisabeth Nagy

3.2k citations
84 papers · 2.3k indexed · h-index 29
Topics
Bacterial Identification and Susceptibility Testing (41 papers)Clostridium difficile and Clostridium perfringens research (23 papers)Streptococcal Infections and Treatments (16 papers)

In The Last Decade

Elisabeth Nagy

81 papers receiving 2.2k citations

Peers

Elisabeth Nagy
Comparison fields: 5 of 126
  • Clinical Biochemistry 853
  • Infectious Diseases 798
  • Epidemiology 689
  • Molecular Biology 446
  • Public Health, Environmental and Occupational Health 390
Replace Iain B. Gosbell with:
Iain B. Gosbell Australia
E. Nagy Hungary
Mark S. Rouse United States
Jeong Hwan Shin South Korea
Kerryl E. Piper United States
Kerryl E. Greenwood‐Quaintance United States
Bo Söderquist Sweden
René Courcol France
Mohammad Reza Pourmand Iran
Jari Jalava Finland
Elisabeth Nagy relative to Iain B. Gosbell Australia Iain B. Gosbell's profile →
Citations per field
00.5×1.5×
Iain B. Gosbell · 1×
Citations per year

Countries citing papers authored by Elisabeth Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Nagy. A scholar is included among the top collaborators of Elisabeth Nagy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elisabeth Nagy. Elisabeth Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 9
4 5
5 22
6 9
7 23
8 9
9 47
10 68
11 20
12 3
13 60
14 123
15 17
16 18
17 79
18 7
19 46
20 43

About Elisabeth Nagy

Elisabeth Nagy is a scholar working on Clinical Biochemistry, Molecular Medicine and Infectious Diseases, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (41 papers), Clostridium difficile and Clostridium perfringens research (23 papers) and Streptococcal Infections and Treatments (16 papers). The work is most often cited by research in Clinical Biochemistry (853 citations), Molecular Medicine (384 citations) and Infectious Diseases (798 citations). Elisabeth Nagy has collaborated with scholars based in Hungary, United Kingdom and Germany. Frequent co-authors include Edit Urbán, József Sóki, Markus Kostrzewa, Simone Becker, Gabriella Terhes, Ilona Dóczi, Péter Tenke, Gareth Williams, D.J. Stickler and Claus Riedl. Their work appears in journals such as Nature, Clinical Infectious Diseases and Journal of Clinical Microbiology.

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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