Jan Šilhán
Impact in
- Infectious Diseases top 5%
- 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
- Ubiquitin and proteasome pathways 4
- 14-3-3 protein interactions 4
- Genetics 5
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Evžen Bouřa (19 shared papers)Radim Nencka (7 shared papers)Petra Krafčíková (3 shared papers)Jan Teisinger (6 shared papers)Tomáš Obšil (6 shared papers)Veronika Obšilová (6 shared papers)Dominika Chalupská (6 shared papers)Václav Veverka (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Nature Communications (3 papers)Journal of Biological Chemistry (3 papers)Antiviral Research (2 papers)Molecules (2 papers)
- Partner nations
- CzechiaUnited KingdomUnited States
In The Last Decade
Jan Šilhán
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 310
- Aging 29
- Virology 61
- Molecular Biology 871
- Immunology 99
Countries citing papers authored by Jan Šilhán
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 207 | |
| 2 | 2020 | 196 | |
| 3 | 2008 | 132 | |
| 4 | 2014 | 113 | |
| 5 | 2020 | 78 | |
| 6 | 2007 | 69 | |
| 7 | 2009 | 56 | |
| 8 | 2004 | 55 | |
| 9 | 2008 | 47 | |
| 10 | 2021 | 45 | |
| 11 | 2006 | 44 | |
| 12 | 2017 | 36 | |
| 13 | 2023 | 35 | |
| 14 | 2012 | 19 | |
| 15 | 2012 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2009 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2020 | 12 |
About Jan Šilhán
Jan Šilhán is a scholar working on Molecular Biology, Genetics, Virology, Ecology and Infectious Diseases, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (5 papers), CRISPR and Genetic Engineering (5 papers), Ubiquitin and proteasome pathways (4 papers), 14-3-3 protein interactions (4 papers), Bacteriophages and microbial interactions (4 papers) and Poxvirus research and outbreaks (3 papers). The work is most often cited by research in Infectious Diseases (310 citations), Aging (29 citations), Virology (61 citations), Molecular Biology (871 citations) and Immunology (99 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, Tomáš Obšil, Veronika Obšilová, Dominika Chalupská, Václav Veverka, Dhurvas Chandrasekaran Dinesh and Miroslav Šulc. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Journal of Biological Chemistry, 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.