Jaroslav Činátl

3.0k citations
81 papers · 2.1k indexed · h-index 27

Impact in

Papers in

Jaroslav Činátl

78 papers receiving 2.1k citations

Peers

Jaroslav Činátl
Comparison fields: 5 of 123
  • Virology 97
  • Neurology 248
  • Molecular Biology 1.0k
  • Oncology 386
  • Epidemiology 479
Replace Angelita Rebollo with:
Angelita Rebollo France
B. Eriksson Sweden
Ganesh M. Sathe United States
Abraham Mittelman United States
Delphine Poncet France
Luigi Racioppi Italy
Lei Jin United States
Hong Zheng China
Laura J. Simpson United States
Jaroslav Činátl relative to Angelita Rebollo France Angelita Rebollo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jaroslav Činátl

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslav Činátl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201323
2 201215
3 200995
4 2008125
5 200730
6 200231
7 200214
8 200137
9 200060
10 200024
11 199711
12 199797
13 199679
14 199685
15 199652
16 19950
17 199540
18 19944
19 199212
20
The effect of bovine pancreatic ribonuclease (A RNase) and bull seminal ribonuclease (AS RNase) on human lymphocytes undergoing blastic transformation.
19789

About Jaroslav Činátl

Jaroslav Činátl is a scholar working on Neurology, Virology, Immunology, Parasitology and Molecular Biology, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (22 papers), Cytomegalovirus and herpesvirus research (11 papers), Cancer therapeutics and mechanisms (9 papers), Herpesvirus Infections and Treatments (6 papers), RNA Interference and Gene Delivery (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Virology (97 citations), Neurology (248 citations), Molecular Biology (1.0k citations), Oncology (386 citations) and Epidemiology (479 citations). Jaroslav Činátl has collaborated with scholars based in Germany, United Kingdom and Czechia. Frequent co-authors include Jindřich Činátl, Martin Michaelis, Hans Wilhelm Doerr, Pablo Hernáiz Driever, Jens‐Uwe Vogel, Rouslan Kotchetkov, Roman A. Blaheta, B. Kornhuber, H. W. Doerr and Silja Domm. Their work appears in journals such as Anti-Cancer Drugs, International Journal of Oncology, Cancers, Antiviral Research and Biochemical Pharmacology.

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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