Arūnas Šilanskas
- Aging top 10%
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 13
- RNA and protein synthesis mechanisms 9
- DNA Repair Mechanisms 4
- Advanced biosensing and bioanalysis techniques 4
- RNA regulation and disease 3
- Insect Science top 5%
- Insect symbiosis and bacterial influences 3
- Endocrinology top 10%
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- Bacterial Genetics and Biotechnology 6
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- Bacteriophages and microbial interactions 3
- Co-authors
- Virginijus ŠikšnysTautvydas KarvelisGreta BigelyteČeslovas VenclovasJoshua K. YoungRimantė ŽedaveinytėGiedrius GasiūnasDarius Kazlauskas
- Partner nations
- LithuaniaGermanyUnited Kingdom
In The Last Decade
Arūnas Šilanskas
21 papers receiving 967 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Business and International Management 96
- Aging 38
- Molecular Biology 887
- Insect Science 100
- Endocrinology 39
Countries citing papers authored by Arūnas Šilanskas
This map shows the geographic impact of Arūnas Šilanskas'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 Arūnas Šilanskas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arūnas Šilanskas more than expected).
Fields of papers citing papers by Arūnas Šilanskas
This network shows the impact of papers produced by Arūnas Šilanskas. 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 Arūnas Šilanskas. The network helps show where Arūnas Šilanskas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arūnas Šilanskas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 11 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 32 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 52 | |
| 10 | 2022 | 82 | |
| 11 | 2021 | 76 | |
| 12 | 2021 | 7 | |
| 13 | Transposon-associated TnpB is a programmable RNA-guided DNA endonucleasebreakdown → | 2021 | 199 |
| 14 | PAM recognition by miniature CRISPR–Cas12f nucleases triggers programmable double-stranded DNA target cleavagebreakdown → | 2020 | 241 |
| 15 | 2019 | 30 | |
| 16 | 2018 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2015 | 162 | |
| 19 | 2014 | 8 | |
| 20 | 2014 | 9 |
About Arūnas Šilanskas
Arūnas Šilanskas is a scholar working on Business and International Management, Molecular Biology and Insect Science, having authored 24 papers that have together received 982 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), RNA and protein synthesis mechanisms (9 papers), Bacterial Genetics and Biotechnology (6 papers), DNA Repair Mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Insect symbiosis and bacterial influences (3 papers), Bacteriophages and microbial interactions (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Business and International Management (96 citations), Aging (38 citations) and Molecular Biology (887 citations). Arūnas Šilanskas has collaborated with scholars based in Lithuania, Germany and United Kingdom. Frequent co-authors include Virginijus Šikšnys, Tautvydas Karvelis, Greta Bigelyte, Česlovas Venclovas, Joshua K. Young, Rimantė Žedaveinytė, Giedrius Gasiūnas, Darius Kazlauskas, Gytis Druteika and Stephen L. Gasior. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.
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.