Dušan Kunec

1.4k citations
35 papers · 816 · h-index 15

Impact in

Papers in

Dušan Kunec

34 papers receiving 799 citations

Peers

Dušan Kunec
Comparison fields: 5 of 71
  • Infectious Diseases 455
  • Animal Science and Zoology 177
  • Virology 34
  • Epidemiology 189
  • Modeling and Simulation 26
Replace Abhishek N. Prasad with:
Abhishek N. Prasad United States
Justin H. J. Ng Singapore
Jaqueline Góes de Jesus Brazil
Lidewij Wiersma Netherlands
Carl Shaia United States
Rachel M. Maison United States
George Carnell United Kingdom
Airn E. Hartwig United States
Kayla M. Peck United States
Meredith Stewart United Kingdom
Dušan Kunec relative to Abhishek N. Prasad United States Abhishek N. Prasad's profile →
Citations per field
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Abhishek N. Prasad · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020144
2 2015127
3 202067
4 202066
5 201753
6 202150
7 201845
8 202134
9 201921
10 201219
11 202419
12 202318
13 200917
14 202315
15 201315
16 200813
17 202012
18 20219
19 20239
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 35 papers that have together received 816 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), Animal Virus Infections Studies (12 papers), Herpesvirus Infections and Treatments (6 papers), COVID-19 Clinical Research Studies (6 papers), Virus-based gene therapy research (6 papers), Viral gastroenteritis research and epidemiology (4 papers), RNA and protein synthesis mechanisms (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Infectious Diseases (455 citations), Animal Science and Zoology (177 citations), Virology (34 citations), Epidemiology (189 citations) and Modeling and Simulation (26 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, Donata Hoffmann and Martin Beer. Their work appears in journals such as Cell Reports, Journal of Virology, Viruses, PLoS Pathogens and Computational and Structural Biotechnology Journal.

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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