Tomáš Venit

627 citations
22 papers · 396 · 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 11
    • Genomics and Chromatin Dynamics 5
    • Nuclear Structure and Function 3
    • Mitochondrial Function and Pathology 2
    • Cellular Mechanics and Interactions 4
    • Cellular transport and secretion 2

Tomáš Venit

21 papers receiving 396 citations

Peers

Tomáš Venit
Comparison fields: 5 of 63
  • Cell Biology 91
  • Molecular Biology 290
  • Aging 5
  • Biophysics 12
  • Cardiology and Cardiovascular Medicine 38
Replace Leonid Serebryannyy with:
Leonid Serebryannyy United States
Dan N. Simon United States
Boubou Diagouraga France
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Pavan Vedula United States
Stéphane Frémont France
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Citations per field
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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 202140
3 201839
4 201236
5 201330
6 201625
7 202225
8 202023
9 201621
10 202317
11 202016
12 202014
13 202112
14 20218
15 20207
16 20217
17 20175
18 20245
19 20244
20 20223

About Tomáš Venit

Tomáš Venit is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 396 indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (5 papers), Cellular Mechanics and Interactions (4 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Nuclear Structure and Function (3 papers), Cellular transport and secretion (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cell Biology (91 citations), Molecular Biology (290 citations), Aging (5 citations), Biophysics (12 citations) and Cardiology and Cardiovascular Medicine (38 citations). Tomáš Venit has collaborated with scholars based in United Arab Emirates, Sweden and United States. Frequent co-authors include Piergiorgio Percipalle, Pavel Hozák, Rastislav Dzijak, Xin Xie, Nizar Drou, Enrique Castaño, Margarita Sobol, Vlada Philimonenko, Kristin C. Gunsalus and Michal Kahle. Their work appears in journals such as Nature Communications, PLoS ONE, Histochemistry and Cell Biology, iScience and The Journal of Biochemistry.

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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