Česlovas Venclovas

10.3k citations
104 papers · 5.1k indexed · 3 hit papers · h-index 37

Česlovas Venclovas

99 papers receiving 5.0k citations

Hit Papers

Transposon-associated TnpB is a programmable RNA...1992017202620202023100200300

Peers

Česlovas Venclovas
Comparison fields: 5 of 119
  • Business and International Management 160
  • Molecular Biology 4.5k
  • Aging 59
  • Endocrinology 137
  • Genetics 710
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Citations per field
00.5×5.3×
Drena Dobbs · 1×
Citations per year

Countries citing papers authored by Česlovas Venclovas

Since Specialization
Citations

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

Fields of papers citing papers by Česlovas Venclovas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20245
5 202316
6 202282
7 202125
8 202117
9
PAM recognition by miniature CRISPR–Cas12f nucleases triggers programmable double-stranded DNA target cleavagebreakdown →
2020241
10 202014
11 202033
12 201958
13
A cyclic oligonucleotide signaling pathway in type III CRISPR-Cas systemsbreakdown →
2017337
14 201731
15 201695
16 20114
17 200430
18 200346
19 200139
20 19995

About Česlovas Venclovas

Česlovas Venclovas is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Computational Theory and Mathematics and Ecology, having authored 104 papers that have together received 5.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (43 papers), Enzyme Structure and Function (39 papers), RNA and protein synthesis mechanisms (33 papers), CRISPR and Genetic Engineering (14 papers), Bacteriophages and microbial interactions (14 papers), Bacterial Genetics and Biotechnology (14 papers), DNA Repair Mechanisms (12 papers) and Genomics and Phylogenetic Studies (12 papers). The work is most often cited by research in Business and International Management (160 citations), Molecular Biology (4.5k citations), Aging (59 citations), Endocrinology (137 citations) and Genetics (710 citations). Česlovas Venclovas has collaborated with scholars based in Lithuania, United States and Czechia. Frequent co-authors include Krzysztof Fidelis, Adam Zemła, Virginijus Šikšnys, Kliment Olechnovič, John Moult, Gintautas Tamulaitis, Migle Kazlauskiene, Michael P. Thelen, Georgij Kostiuk and Mindaugas Margelevičius. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Bioinformatics, BMC Bioinformatics and FEBS Letters.

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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