М. В. Шепелев
Impact in
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- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
Papers in
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- CRISPR and Genetic Engineering 10
- RNA Interference and Gene Delivery 9
- Protein Kinase Regulation and GTPase Signaling 6
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
- RNA and protein synthesis mechanisms 3
- Genetics 9
- Virus-based gene therapy research 8
- Co-authors
- Jonathan Chernoff (2 shared papers)Clemens Hofmann (1 shared paper)И. В. Коробко (20 shared papers)Alexey V. Deykin (1 shared paper)T. V. Vinogradova (2 shared papers)E. P. Kopantzev (1 shared paper)E. D. Sverdlov (1 shared paper)Ilya V. Ulasov (1 shared paper)
- Journals
- Biomedicines (2 papers)Biology (2 papers)mBio (1 paper)International Journal of Molecular Sciences (1 paper)Molecular Pharmaceutics (1 paper)
- Partner nations
- RussiaUnited StatesAustralia
In The Last Decade
М. В. Шепелев
32 papers receiving 415 citations
Peers
Comparison fields: 5 of 67
- Aging 9
- Cell Biology 75
- Molecular Biology 294
- Business and International Management 7
- Cancer Research 43
Countries citing papers authored by М. В. Шепелев
This map shows the geographic impact of М. В. Шепелев'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 М. В. Шепелев with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites М. В. Шепелев more than expected).
Fields of papers citing papers by М. В. Шепелев
This network shows the impact of papers produced by М. В. Шепелев. 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 М. В. Шепелев. The network helps show where М. В. Шепелев may publish in the future.
Co-authors
The 20 scholars most cited alongside М. В. Шепелев, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 201 | |
| 2 | 2013 | 28 | |
| 3 | 2012 | 22 | |
| 4 | 2018 | 21 | |
| 5 | 2011 | 18 | |
| 6 | 2016 | 14 | |
| 7 | 2010 | 13 | |
| 8 | 2013 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2011 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2007 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2017 | 3 |
About М. В. Шепелев
М. В. Шепелев is a scholar working on Molecular Biology, Genetics, Virology, Cancer Research and Oncology, having authored 32 papers that have together received 421 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), RNA Interference and Gene Delivery (9 papers), Virus-based gene therapy research (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), HIV Research and Treatment (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Aging (9 citations), Cell Biology (75 citations), Molecular Biology (294 citations), Business and International Management (7 citations) and Cancer Research (43 citations). М. В. Шепелев has collaborated with scholars based in Russia, United States and Australia. Frequent co-authors include Jonathan Chernoff, Clemens Hofmann, И. В. Коробко, Alexey V. Deykin, T. V. Vinogradova, E. P. Kopantzev, E. D. Sverdlov, Ilya V. Ulasov, Diego Germini and Е. Д. Свердлов. Their work appears in journals such as Biomedicines, Biology, mBio, International Journal of Molecular Sciences and Molecular Pharmaceutics.
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.