Éva Nagy

8.2k total citations
240 papers, 6.2k citations indexed

About

Éva Nagy is a scholar working on Infectious Diseases, Epidemiology and Genetics. According to data from OpenAlex, Éva Nagy has authored 240 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Infectious Diseases, 79 papers in Epidemiology and 76 papers in Genetics. Recurrent topics in Éva Nagy's work include Virus-based gene therapy research (68 papers), Viral gastroenteritis research and epidemiology (57 papers) and Animal Virus Infections Studies (44 papers). Éva Nagy is often cited by papers focused on Virus-based gene therapy research (68 papers), Viral gastroenteritis research and epidemiology (57 papers) and Animal Virus Infections Studies (44 papers). Éva Nagy collaborates with scholars based in Canada, Hungary and Egypt. Éva Nagy's co-authors include István Berczi, Peter J. Krell, Shayan Sharif, Davor Ojkić, Kálmán Kovács, Helena Grgić, Peter Dobos, Tamás Tuboly, L. Sylvia and J.B. Derbyshire and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Éva Nagy

238 papers receiving 6.0k citations

Peers

Éva Nagy
Comparison fields: 5 of 145
  • Infectious Diseases 1.9k
  • Molecular Biology 1.7k
  • Genetics 1.5k
  • Epidemiology 1.5k
  • Animal Science and Zoology 1.4k
Replace Peter J. Southern with:
Peter J. Southern United States
Andrew J. Easton United Kingdom
Rob H. Meloen Netherlands
Tetsuya Mizutani Japan
Alan Shaw United States
Anja Kipar United Kingdom
Thomas W. Molitor United States
Chella S. David United States
Takemasa Sakaguchi Japan
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Peter J. Southern United States View profile →
Citations per field, relative to Éva Nagy
Éva Nagy · 1×
Citations per year, relative to Éva Nagy
Éva Nagy · 1×

Countries citing papers authored by Éva Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Éva Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Nagy. A scholar is included among the top collaborators of Éva 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 Éva Nagy. Éva 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
# Work Indexed citations
1 5
2 8
3 1
4 1
5 11
6 30
7 6
8 71
9 15
10 14
11 8
12 28
13 15
14
Examination of lymphatic vessel infiltration of canine lipidised mammary carcinoma by claudin-5 and CD31 markers.
1
15 112
16 14
17 5
18 57
19 18
20 56

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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