Erna Davydova
Impact in
- Molecular Biology top 10%
- RNA modifications and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Photosynthetic Processes and Mechanisms
Papers in
-
- Cancer-related gene regulation 11
- RNA modifications and cancer 11
- Epigenetics and DNA Methylation 9
- RNA and protein synthesis mechanisms 3
- Polyamine Metabolism and Applications 1
-
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Pål Ø. Falnes (13 shared papers)Jędrzej Małecki (10 shared papers)Magnus E. Jakobsson (6 shared papers)Xavier Le Goff (1 shared paper)M. Philippe (1 shared paper)Galina A. Zhouravleva (1 shared paper)Ludmila Frolova (1 shared paper)Lev L. Kisselev (1 shared paper)
In The Last Decade
Erna Davydova
17 papers receiving 770 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 681
- Aging 5
- Oncology 68
- Cancer Research 37
- Immunology 38
Countries citing papers authored by Erna Davydova
This map shows the geographic impact of Erna Davydova'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 Erna Davydova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erna Davydova more than expected).
Fields of papers citing papers by Erna Davydova
This network shows the impact of papers produced by Erna Davydova. 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 Erna Davydova. The network helps show where Erna Davydova may publish in the future.
Co-authors
The 25 scholars most cited alongside Erna Davydova, 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 | Eukaryotic polypeptide chain release factor eRF3 is an eRF1- and ribosome-dependent guanosine triphosphatase. | 1996 | 212 |
| 2 | 2012 | 117 | |
| 3 | 2016 | 84 | |
| 4 | 2018 | 72 | |
| 5 | 2014 | 46 | |
| 6 | 2015 | 43 | |
| 7 | 2021 | 42 | |
| 8 | 2022 | 35 | |
| 9 | 2015 | 34 | |
| 10 | 2021 | 30 | |
| 11 | 2014 | 30 | |
| 12 | 2016 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2025 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 |
About Erna Davydova
Erna Davydova is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 17 papers that have together received 781 indexed citations. Recurring topics across this work include Cancer-related gene regulation (11 papers), RNA modifications and cancer (11 papers), Epigenetics and DNA Methylation (9 papers), RNA and protein synthesis mechanisms (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Polyamine Metabolism and Applications (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Molecular Biology (681 citations), Aging (5 citations), Oncology (68 citations), Cancer Research (37 citations) and Immunology (38 citations). Erna Davydova has collaborated with scholars based in Norway, Germany and France. Frequent co-authors include Pål Ø. Falnes, Jędrzej Małecki, Magnus E. Jakobsson, Xavier Le Goff, M. Philippe, Galina A. Zhouravleva, Ludmila Frolova, Lev L. Kisselev, Anders Moen and Angela Ho. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Nature Communications, Nucleic Acids Research and Frontiers in Immunology.
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.