Dmitry Penkov
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Ubiquitin and proteasome pathways 5
- Genomics and Chromatin Dynamics 4
- Cancer-related gene regulation 3
- Surgery 7
- Pancreatic function and diabetes 4
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Francesco Blasi (16 shared papers)Miguel Torres (3 shared papers)Elena Longobardi (1 shared paper)Tkachuk Va (7 shared papers)Leila Dardaei (2 shared papers)Chiara Bruckmann (1 shared paper)Luis C. Fernández (2 shared papers)Hans-Jörg Warnatz (2 shared papers)
In The Last Decade
Dmitry Penkov
26 papers receiving 551 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 407
- Cancer Research 56
- Cell Biology 58
- Aging 6
- Genetics 79
Countries citing papers authored by Dmitry Penkov
This map shows the geographic impact of Dmitry Penkov'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 Dmitry Penkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Penkov more than expected).
Fields of papers citing papers by Dmitry Penkov
This network shows the impact of papers produced by Dmitry Penkov. 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 Dmitry Penkov. The network helps show where Dmitry Penkov may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitry Penkov, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 116 | |
| 2 | 2013 | 105 | |
| 3 | 2017 | 47 | |
| 4 | 2009 | 43 | |
| 5 | 2013 | 25 | |
| 6 | 2013 | 22 | |
| 7 | 2008 | 21 | |
| 8 | 2019 | 19 | |
| 9 | 2013 | 16 | |
| 10 | 2013 | 14 | |
| 11 | 2018 | 14 | |
| 12 | 2015 | 14 | |
| 13 | 2008 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2015 | 12 | |
| 16 | 2008 | 11 | |
| 17 | 2012 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2015 | 6 | |
| 20 | 2023 | 6 |
About Dmitry Penkov
Dmitry Penkov is a scholar working on Molecular Biology, Surgery, Immunology, Physiology and Genetics, having authored 27 papers that have together received 556 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Ubiquitin and proteasome pathways (5 papers), Pancreatic function and diabetes (4 papers), Genomics and Chromatin Dynamics (4 papers), Adipose Tissue and Metabolism (4 papers), Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Molecular Biology (407 citations), Cancer Research (56 citations), Cell Biology (58 citations), Aging (6 citations) and Genetics (79 citations). Dmitry Penkov has collaborated with scholars based in Russia, Italy and Germany. Frequent co-authors include Francesco Blasi, Miguel Torres, Elena Longobardi, Tkachuk Va, Leila Dardaei, Chiara Bruckmann, Luis C. Fernández, Hans-Jörg Warnatz, Catalina Ana Rosselló and Arianna Gabrieli. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Scientific Reports, Developmental Dynamics and Cell Reports.
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.