Jan Haviernik

762 citations
19 papers · 367 · h-index 11

Impact in

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

Papers in

Jan Haviernik

19 papers receiving 361 citations

Peers

Jan Haviernik
Comparison fields: 5 of 67
  • Infectious Diseases 185
  • Parasitology 64
  • Public Health, Environmental and Occupational Health 151
  • Virology 20
  • Insect Science 21
Replace Subathdrage D.M. Sumanadasa with:
Subathdrage D.M. Sumanadasa Australia
Kirandeep Samby Switzerland
Mary Lynn Baniecki United States
Josephine Elizabeth Siregar Indonesia
Ilenia Delogu Italy
Amanda K. Lukens United States
Ravinder Reddy Kondreddi Singapore
Svenja Günther United Kingdom
Madinna Mustafa India
Rubén Soto-Acosta 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

19 of 19 papers shown
#Work
1 2018100
2 201769
3 201936
4 202030
5 202022
6 202122
7 202220
8 201818
9 202213
10 202012
11 202011
12 20235
13 20222
14 20252
15 20201
16 20241
17 20251
18 20241
19 20201

About Jan Haviernik

Jan Haviernik is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology, Insect Science and Molecular Biology, having authored 19 papers that have together received 367 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (13 papers), Viral Infections and Vectors (11 papers), Vector-borne infectious diseases (6 papers), Insect and Pesticide Research (2 papers), Insect symbiosis and bacterial influences (2 papers), RNA and protein synthesis mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (185 citations), Parasitology (64 citations), Public Health, Environmental and Occupational Health (151 citations), Virology (20 citations) and Insect Science (21 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, Jana Širmarová and Jiřı́ Salát. Their work appears in journals such as Viruses, Antiviral Research, Emerging Microbes & Infections, Cell Reports and PLoS neglected tropical diseases.

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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