Jan Haviernik

733 citations
18 papers · 360 · h-index 11

Impact in

  • Parasitology top 10%
    • Vector-borne infectious diseases
    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research

Papers in

Jan Haviernik

17 papers receiving 353 citations

Peers

Jan Haviernik
Comparison fields: 5 of 67
  • Parasitology 68
  • Infectious Diseases 193
  • Public Health, Environmental and Occupational Health 149
  • Virology 21
  • Insect Science 22
Replace Subathdrage D.M. Sumanadasa with:
Subathdrage D.M. Sumanadasa Australia
Kirandeep Samby Switzerland
Igor Andrade Santos Brazil
Rawiwan Im‐Erbsin Thailand
Jonathan D. Herman United States
Rubén Soto-Acosta United States
Hosam Shams-Eldin Germany
Amanda K. Lukens United States
Ilenia Delogu Italy
Annie N. Cowell United States
Jan Haviernik relative to Subathdrage D.M. Sumanadasa Australia Subathdrage D.M. Sumanadasa's profile →
Citations per field
00.5×4.3×
Subathdrage D.M. Sumanadasa · 1×
Citations per year

Countries citing papers authored by Jan Haviernik

Since Specialization
Citations

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

Fields of papers citing papers by Jan Haviernik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2018100
2 201769
3 201936
4 202030
5 202122
6 202021
7 202219
8 201817
9 202213
10 202011
11 202011
12 20235
13 20252
14 20221
15 20241
16 20201
17 20201
18 20250

About Jan Haviernik

Jan Haviernik is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Parasitology, Insect Science and Molecular Biology, having authored 18 papers that have together received 360 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (13 papers), Viral Infections and Vectors (10 papers), Vector-borne infectious diseases (6 papers), Insect and Pesticide Research (2 papers), Insect symbiosis and bacterial influences (2 papers), HIV Research and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Parasitology (68 citations), Infectious Diseases (193 citations), Public Health, Environmental and Occupational Health (149 citations), Virology (21 citations) and Insect Science (22 citations). Jan Haviernik has collaborated with scholars based in Czechia, Slovakia and Belgium. Frequent co-authors include Daniel Růžek, Luděk Eyer, Michal Štefánik, Martina Fojtíková, Erik De Clercq, Ivo Rudolf, Zdeněk Hubálek, Noël Tordo, Radim Nencka and Jana Širmarová. Their work appears in journals such as Viruses, Antiviral Research, ACS Chemical Neuroscience, Nucleic Acids Research and Journal of Virology.

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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