Dušan Kunec

1.3k citations
34 papers · 763 · h-index 15

Impact in

Papers in

Dušan Kunec

32 papers receiving 750 citations

Peers

Dušan Kunec
Comparison fields: 5 of 69
  • Infectious Diseases 448
  • Animal Science and Zoology 170
  • Virology 35
  • Modeling and Simulation 27
  • Epidemiology 181
Replace Julia Sehl‐Ewert with:
Julia Sehl‐Ewert Germany
Abhishek N. Prasad United States
Jaqueline Góes de Jesus Brazil
Charles B. Stauft United States
Lidewij Wiersma Netherlands
George Carnell United Kingdom
Justin H. J. Ng Singapore
Kayla M. Peck United States
Amanda L. Tan United States
Paul Kitching United Kingdom
Dušan Kunec relative to Julia Sehl‐Ewert Germany Julia Sehl‐Ewert's profile →
Citations per field
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Julia Sehl‐Ewert · 1×
Citations per year

Countries citing papers authored by Dušan Kunec

Since Specialization
Citations

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

Fields of papers citing papers by Dušan Kunec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2015124
3 202065
4 202062
5 201750
6 202147
7 201843
8 202132
9 201918
10 202416
11 202316
12 200916
13 201215
14 201314
15 202314
16 202012
17 200810
18 20219
19 20188
20 20228

About Dušan Kunec

Dušan Kunec is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Molecular Biology and Genetics, having authored 34 papers that have together received 763 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (13 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Herpesvirus Infections and Treatments (7 papers), Virus-based gene therapy research (6 papers), COVID-19 Clinical Research Studies (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Immunology Research (5 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Infectious Diseases (448 citations), Animal Science and Zoology (170 citations), Virology (35 citations), Modeling and Simulation (27 citations) and Epidemiology (181 citations). Dušan Kunec has collaborated with scholars based in Germany, United States and Hong Kong. Frequent co-authors include Nikolaus Osterrieder, Jakob Trimpert, Azza Abdelgawad, Achim D. Gruber, Daria Vladimirova, Luca D. Bertzbach, Kristina Dietert, Kathrin Eschke, Martin Beer and Donata Hoffmann. Their work appears in journals such as Cell Reports, Viruses, Journal of Virology, PLoS Pathogens and iScience.

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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