Josef Geryk

753 citations
26 papers · 565 · h-index 15

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 5
    • CRISPR and Genetic Engineering 4
    • RNA Interference and Gene Delivery 3
    • Virus-based gene therapy research 12

Josef Geryk

26 papers receiving 547 citations

Peers

Josef Geryk
Comparison fields: 5 of 57
  • Animal Science and Zoology 126
  • Virology 43
  • Genetics 227
  • Immunology 139
  • Epidemiology 174
Replace Andrea Laimbacher with:
Andrea Laimbacher Switzerland
Zhenyu Zhang China
Thomas Hämmerle Austria
Bingling Yun China
Zabeen Lateef New Zealand
Mengya Shi China
Silke Schepelmann United Kingdom
Jinyan Wu China
Changjun Liu China
Weiquan Liu China
Josef Geryk relative to Andrea Laimbacher Switzerland Andrea Laimbacher's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Josef Geryk

Since Specialization
Citations

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

Fields of papers citing papers by Josef Geryk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200567
2 202063
3 199141
4 201336
5 199935
6 201834
7 200728
8 199227
9 201127
10 198327
11 199926
12 199423
13 202119
14 198619
15 199614
16 198910
17 202110
18 200110
19 200710
20 20248

About Josef Geryk

Josef Geryk is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Epidemiology and Immunology, having authored 26 papers that have together received 565 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Animal Virus Infections Studies (9 papers), Herpesvirus Infections and Treatments (8 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (3 papers), interferon and immune responses (3 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Animal Science and Zoology (126 citations), Virology (43 citations), Genetics (227 citations), Immunology (139 citations) and Epidemiology (174 citations). Josef Geryk has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Jan Svoboda, Jiřı́ Hejnar, Jiřı́ Plachý, Markéta Reinišová, Dana Kučerová, Filip Šenigl, Pavel Trefil, Kateřina Trejbalová, Daniel Elleder and Mark J. Federspiel. Their work appears in journals such as Journal of Virology, Virology, Gene, Viruses and Immunogenetics.

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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