Tomáš Venit

614 citations
22 papers · 384 · h-index 13

Impact in

    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • RNA Research and Splicing
    • Nuclear Structure and Function
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Mitochondrial Function and Pathology

Papers in

    • RNA Research and Splicing 13
    • Genomics and Chromatin Dynamics 6
    • Nuclear Structure and Function 5
    • Signaling Pathways in Disease 2
    • Cellular Mechanics and Interactions 4

Tomáš Venit

21 papers receiving 384 citations

Peers

Tomáš Venit
Comparison fields: 5 of 66
  • Cell Biology 90
  • Molecular Biology 299
  • Aging 5
  • Biophysics 12
  • Immunology and Allergy 11
Replace Leonid Serebryannyy with:
Leonid Serebryannyy United States
Dan N. Simon United States
Stéphane Frémont France
Sofia Sasse Germany
Boubou Diagouraga France
Dzmitry G. Batrakou United Kingdom
Andrey Poleshko United States
László Radnai Hungary
Yan Y. Yip Australia
Kalpana Pandey United States
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Citations per field
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Leonid Serebryannyy · 1×
Citations per year

Countries citing papers authored by Tomáš Venit

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Venit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201357
2 202139
3 201839
4 201236
5 201330
6 202224
7 201624
8 202022
9 201621
10 202015
11 202013
12 202312
13 202112
14 20218
15 20217
16 20206
17 20245
18 20175
19 20244
20 20223

About Tomáš Venit

Tomáš Venit is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Cancer Research and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 384 indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), Genomics and Chromatin Dynamics (6 papers), Nuclear Structure and Function (5 papers), Cellular Mechanics and Interactions (4 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Signaling Pathways in Disease (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cell Biology (90 citations), Molecular Biology (299 citations), Aging (5 citations), Biophysics (12 citations) and Immunology and Allergy (11 citations). Tomáš Venit has collaborated with scholars based in United Arab Emirates, Sweden and Czechia. Frequent co-authors include Piergiorgio Percipalle, Pavel Hozák, Rastislav Dzijak, Xin Xie, Nizar Drou, Enrique Castaño, Vlada Philimonenko, Kristin C. Gunsalus, Margarita Sobol and Michal Kahle. Their work appears in journals such as Nature Communications, PLoS ONE, Histochemistry and Cell Biology, iScience and Scientific Reports.

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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