Ilya Shamovsky
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrinology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 7
- Heat shock proteins research 4
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
- Genetics 8
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Evgeny Nudler (22 shared papers)David Gershon (2 shared papers)Eugene Kandel (1 shared paper)Maxim V. Ivannikov (1 shared paper)А. С. Миронов (4 shared papers)Ivan Gusarov (5 shared papers)Laurent Gautier (4 shared papers)S. Yu. Eremina (3 shared papers)
- Journals
- Nature (5 papers)Nature Communications (3 papers)Cell (3 papers)Molecular Cell (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- United StatesRussiaAustria
In The Last Decade
Ilya Shamovsky
23 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Aging 259
- Endocrinology 153
- Molecular Medicine 79
- Molecular Biology 1.1k
- Biological Psychiatry 33
Countries citing papers authored by Ilya Shamovsky
This map shows the geographic impact of Ilya Shamovsky'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 Ilya Shamovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Shamovsky more than expected).
Fields of papers citing papers by Ilya Shamovsky
This network shows the impact of papers produced by Ilya Shamovsky. 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 Ilya Shamovsky. The network helps show where Ilya Shamovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilya Shamovsky, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 276 | |
| 2 | 2021 | 180 | |
| 3 | 2016 | 173 | |
| 4 | 2013 | 156 | |
| 5 | 2008 | 146 | |
| 6 | 2009 | 118 | |
| 7 | 2016 | 94 | |
| 8 | 2017 | 93 | |
| 9 | 2019 | 87 | |
| 10 | 2021 | 79 | |
| 11 | 2017 | 46 | |
| 12 | 2004 | 41 | |
| 13 | 2006 | 34 | |
| 14 | 2019 | 22 | |
| 15 | 2021 | 19 | |
| 16 | 2009 | 16 | |
| 17 | 2025 | 15 | |
| 18 | 2019 | 13 | |
| 19 | 2023 | 11 | |
| 20 | 2023 | 10 |
About Ilya Shamovsky
Ilya Shamovsky is a scholar working on Molecular Biology, Genetics, Physical and Theoretical Chemistry, Aging and Endocrine and Autonomic Systems, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (7 papers), Heat shock proteins research (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA Research and Splicing (4 papers), thermodynamics and calorimetric analyses (4 papers), Circadian rhythm and melatonin (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (259 citations), Endocrinology (153 citations), Molecular Medicine (79 citations), Molecular Biology (1.1k citations) and Biological Psychiatry (33 citations). Ilya Shamovsky has collaborated with scholars based in United States, Russia and Austria. Frequent co-authors include Evgeny Nudler, David Gershon, Eugene Kandel, Maxim V. Ivannikov, А. С. Миронов, Ivan Gusarov, Laurent Gautier, S. Yu. Eremina, Bibhusita Pani and Vitaly Epshtein. Their work appears in journals such as Nature, Nature Communications, Cell, Molecular Cell and Cellular Microbiology.
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.