Egor Dolzhenko
Impact in
- Nephrology top 5%
-
- Genetic Neurodegenerative Diseases
Papers in
-
- Genomics and Phylogenetic Studies 8
- Epigenetics and DNA Methylation 5
- RNA and protein synthesis mechanisms 3
- Protist diversity and phylogeny 3
- DNA and Biological Computing 3
- Genetics 10
- Genomics and Rare Diseases 8
- Co-authors
- Andrew D. Smith (6 shared papers)Michael A. Eberle (9 shared papers)Laura F. Landweber (3 shared papers)Aaron D. Goldman (3 shared papers)John R. Bracht (2 shared papers)Gregory J. Hannon (2 shared papers)Emily Hodges (1 shared paper)Camila O. dos Santos (1 shared paper)
- Journals
- Genome biology (3 papers)Cell (2 papers)The American Journal of Human Genetics (2 papers)Genome Medicine (2 papers)iScience (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Egor Dolzhenko
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Nephrology 105
- Cellular and Molecular Neuroscience 250
- Molecular Biology 878
- Genetics 303
- Cancer Research 124
Countries citing papers authored by Egor Dolzhenko
This map shows the geographic impact of Egor Dolzhenko'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 Egor Dolzhenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Egor Dolzhenko more than expected).
Fields of papers citing papers by Egor Dolzhenko
This network shows the impact of papers produced by Egor Dolzhenko. 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 Egor Dolzhenko. The network helps show where Egor Dolzhenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Egor Dolzhenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 211 | |
| 2 | 2014 | 121 | |
| 3 | 2019 | 120 | |
| 4 | 2014 | 107 | |
| 5 | 2019 | 100 | |
| 6 | 2020 | 95 | |
| 7 | 2015 | 91 | |
| 8 | 2015 | 72 | |
| 9 | 2013 | 70 | |
| 10 | 2017 | 60 | |
| 11 | 2012 | 37 | |
| 12 | 2021 | 33 | |
| 13 | 2024 | 26 | |
| 14 | 2024 | 24 | |
| 15 | 2022 | 20 | |
| 16 | 2014 | 19 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 12 | |
| 19 | 2017 | 9 | |
| 20 | 2013 | 8 |
About Egor Dolzhenko
Egor Dolzhenko is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Ecology and Mechanical Engineering, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Genomics and Rare Diseases (8 papers), Genetic Neurodegenerative Diseases (7 papers), Epigenetics and DNA Methylation (5 papers), Microbial Community Ecology and Physiology (3 papers), RNA and protein synthesis mechanisms (3 papers), Protist diversity and phylogeny (3 papers) and DNA and Biological Computing (3 papers). The work is most often cited by research in Nephrology (105 citations), Cellular and Molecular Neuroscience (250 citations), Molecular Biology (878 citations), Genetics (303 citations) and Cancer Research (124 citations). Egor Dolzhenko has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Andrew D. Smith, Michael A. Eberle, Laura F. Landweber, Aaron D. Goldman, John R. Bracht, Gregory J. Hannon, Emily Hodges, Camila O. dos Santos, Yibu Chen and Andrew P. McMahon. Their work appears in journals such as Genome biology, Cell, The American Journal of Human Genetics, Genome Medicine and iScience.
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.