Yevgen Levdansky
Impact in
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Interference and Gene Delivery
Papers in
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- RNA Research and Splicing 10
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 5
- RNA Interference and Gene Delivery 2
- Genomics and Chromatin Dynamics 2
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- Viral Infections and Immunology Research 3
- Co-authors
- Eugene Valkov (11 shared papers)Chung-Te Chang (4 shared papers)Sowndarya Muthukumar (2 shared papers)Tobias Raisch (2 shared papers)Stefan Raunser (1 shared paper)Aaron C. Goldstrohm (2 shared papers)Pavel Plevka (2 shared papers)Peter L. Freddolino (1 shared paper)
- Journals
- Nature Communications (4 papers)Nucleic Acids Research (2 papers)Nature Structural & Molecular Biology (1 paper)Cell Reports (1 paper)Communications Biology (1 paper)
- Partner nations
- United StatesGermanyCzechia
In The Last Decade
Yevgen Levdansky
12 papers receiving 291 citations
Peers
Comparison fields: 5 of 38
- Aging 11
- Molecular Biology 230
- Insect Science 20
- Cardiology and Cardiovascular Medicine 34
- Infectious Diseases 20
Countries citing papers authored by Yevgen Levdansky
This map shows the geographic impact of Yevgen Levdansky'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 Yevgen Levdansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yevgen Levdansky more than expected).
Fields of papers citing papers by Yevgen Levdansky
This network shows the impact of papers produced by Yevgen Levdansky. 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 Yevgen Levdansky. The network helps show where Yevgen Levdansky may publish in the future.
Co-authors
The 25 scholars most cited alongside Yevgen Levdansky, 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 | 2019 | 69 | |
| 2 | 2021 | 40 | |
| 3 | 2019 | 37 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 32 | |
| 6 | 2024 | 28 | |
| 7 | 2016 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2024 | 6 | |
| 10 | 2025 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 |
About Yevgen Levdansky
Yevgen Levdansky is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 13 papers that have together received 293 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (5 papers), Viral Infections and Immunology Research (3 papers), RNA Interference and Gene Delivery (2 papers), Genomics and Chromatin Dynamics (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Aging (11 citations), Molecular Biology (230 citations), Insect Science (20 citations), Cardiology and Cardiovascular Medicine (34 citations) and Infectious Diseases (20 citations). Yevgen Levdansky has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Eugene Valkov, Chung-Te Chang, Sowndarya Muthukumar, Tobias Raisch, Stefan Raunser, Aaron C. Goldstrohm, Pavel Plevka, Peter L. Freddolino, Nathan D. Elrod and Eric J. Wagner. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Nature Structural & Molecular Biology, Cell Reports and Communications Biology.
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.