Jan Šilhán

1.8k citations
30 papers · 1.4k · h-index 17

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
  • Aging top 10%

Papers in

    • DNA Repair Mechanisms 9
    • RNA and protein synthesis mechanisms 8
    • CRISPR and Genetic Engineering 5
    • 14-3-3 protein interactions 4
    • Ubiquitin and proteasome pathways 4

Jan Šilhán

29 papers receiving 1.3k citations

Peers

Jan Šilhán
Comparison fields: 5 of 101
  • Infectious Diseases 330
  • Aging 30
  • Virology 64
  • Molecular Biology 925
  • Immunology 104
Replace Nicole Grandi with:
Nicole Grandi Italy
Alyson I. Swimm United States
Guangwei Yang China
Dominika Chalupská Czechia
Aitor Garzia United States
Guia Carrara United Kingdom
Ying Shi China
Makoto Saito Japan
Nuria de Pedro Spain
Mark Ashe United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jan Šilhán

Since Specialization
Citations

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

Fields of papers citing papers by Jan Šilhán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020221
2 2020213
3 2008131
4 2014120
5 202090
6 200771
7 200958
8 200456
9 202149
10 200848
11 200646
12 202341
13 201737
14 201220
15 201218
16 202318
17 200917
18 202013
19 202113
20 202113

About Jan Šilhán

Jan Šilhán is a scholar working on Molecular Biology, Virology, Genetics, Ecology and Infectious Diseases, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), RNA and protein synthesis mechanisms (8 papers), CRISPR and Genetic Engineering (5 papers), Bacterial Genetics and Biotechnology (5 papers), 14-3-3 protein interactions (4 papers), Bacteriophages and microbial interactions (4 papers), Ubiquitin and proteasome pathways (4 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Infectious Diseases (330 citations), Aging (30 citations), Virology (64 citations), Molecular Biology (925 citations) and Immunology (104 citations). Jan Šilhán has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Evžen Bouřa, Radim Nencka, Petra Krafčíková, Jan Teisinger, Veronika Obšilová, Tomáš Obšil, Dominika Chalupská, Václav Veverka, Dhurvas Chandrasekaran Dinesh and Miroslav Šulc. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Nature Communications, Antiviral Research and Molecules.

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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