Artem Barski
Impact in
- Molecular Biology top 0.2%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- RNA and protein synthesis mechanisms
- Histone Deacetylase Inhibitors Research
- CRISPR and Genetic Engineering
- Cancer Research top 1%
Papers in
- Immunology 22
- Immune Cell Function and Interaction 9
- IL-33, ST2, and ILC Pathways 7
-
- Genomics and Chromatin Dynamics 28
- Epigenetics and DNA Methylation 19
- RNA Research and Splicing 8
- Cancer-related gene regulation 7
- Co-authors
- Keji ZhaoKairong CuiDustin E. SchonesSuresh CuddapahZhibin WangTae‐Young RohGang WeiIouri Chepelev
- Journals
- The Journal of Immunology (8 papers)Cell (4 papers)Nature Structural & Molecular Biology (4 papers)Scientific Reports (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Artem Barski
76 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 10.0k
- Cancer Research 1.1k
- Immunology 1.4k
- Genetics 1.7k
- Aging 96
Countries citing papers authored by Artem Barski
This map shows the geographic impact of Artem Barski'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 Artem Barski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artem Barski more than expected).
Fields of papers citing papers by Artem Barski
This network shows the impact of papers produced by Artem Barski. 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 Artem Barski. The network helps show where Artem Barski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Artem Barski, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 12 | |
| 8 | 2020 | 64 | |
| 9 | 2020 | 43 | |
| 10 | 2020 | 51 | |
| 11 | 2019 | 39 | |
| 12 | 2019 | 84 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 106 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 89 | |
| 17 | 2018 | 41 | |
| 18 | 2018 | 23 | |
| 19 | 2018 | 241 | |
| 20 | 2009 | 121 |
About Artem Barski
Artem Barski is a scholar working on Immunology, Molecular Biology, Immunology and Allergy, Cancer Research and Rheumatology, having authored 80 papers that have together received 12.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (28 papers), Epigenetics and DNA Methylation (19 papers), Immune Cell Function and Interaction (9 papers), Eosinophilic Esophagitis (8 papers), RNA Research and Splicing (8 papers), Cancer-related gene regulation (7 papers), IL-33, ST2, and ILC Pathways (7 papers) and Eosinophilic Disorders and Syndromes (6 papers). The work is most often cited by research in Molecular Biology (10.0k citations), Cancer Research (1.1k citations), Immunology (1.4k citations), Genetics (1.7k citations) and Aging (96 citations). Artem Barski has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Keji Zhao, Kairong Cui, Dustin E. Schones, Suresh Cuddapah, Zhibin Wang, Tae‐Young Roh, Gang Wei, Iouri Chepelev, Weiqun Peng and Chongzhi Zang. Their work appears in journals such as The Journal of Immunology, Cell, Nature Structural & Molecular Biology, Scientific Reports and Nucleic Acids Research.
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.