Michael Tolstorukov
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 32
- RNA and protein synthesis mechanisms 16
- Epigenetics and DNA Methylation 10
- RNA Research and Splicing 9
- CRISPR and Genetic Engineering 7
- RNA modifications and cancer 7
- DNA and Nucleic Acid Chemistry 6
- Cancer Research top 2%
- Genetics top 5%
- Aging top 10%
- Plant Science top 5%
- Chromosomal and Genetic Variations 8
- Co-authors
- Peter J. ParkPeter V. KharchenkoRobert E. KingstonVictor B. ZhurkinRuslan I. SadreyevMatthew D. SimonJason A. WestPeggy I. Wang
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Nature Communications (4 papers)Genes & Development (4 papers)
- Partner nations
- United StatesSwedenRussia
In The Last Decade
Michael Tolstorukov
59 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 3.9k
- Cancer Research 810
- Genetics 607
- Aging 29
- Plant Science 550
Countries citing papers authored by Michael Tolstorukov
This map shows the geographic impact of Michael Tolstorukov'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 Michael Tolstorukov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tolstorukov more than expected).
Fields of papers citing papers by Michael Tolstorukov
This network shows the impact of papers produced by Michael Tolstorukov. 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 Michael Tolstorukov. The network helps show where Michael Tolstorukov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Tolstorukov, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 5 | |
| 5 | 2021 | 25 | |
| 6 | 2020 | 5 | |
| 7 | Histone demethylase KDM6A directly senses oxygen to control chromatin and cell fatebreakdown → | 2019 | 280 |
| 8 | 2019 | 21 | |
| 9 | 2017 | 73 | |
| 10 | 2017 | 31 | |
| 11 | 2016 | 239 | |
| 12 | 2016 | 171 | |
| 13 | 2012 | 85 | |
| 14 | 2010 | 241 | |
| 15 | 2009 | 79 | |
| 16 | 2008 | 30 | |
| 17 | Design and analysis of ChIP-seq experiments for DNA-binding proteinsbreakdown → | 2008 | 627 |
| 18 | 2005 | 64 | |
| 19 | 2004 | 86 | |
| 20 | 2003 | 33 |
About Michael Tolstorukov
Michael Tolstorukov is a scholar working on Molecular Biology, Structural Biology and Developmental Neuroscience, having authored 62 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (32 papers), RNA and protein synthesis mechanisms (16 papers), Epigenetics and DNA Methylation (10 papers), RNA Research and Splicing (9 papers), Chromosomal and Genetic Variations (8 papers), CRISPR and Genetic Engineering (7 papers), RNA modifications and cancer (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Cancer Research (810 citations) and Genetics (607 citations). Michael Tolstorukov has collaborated with scholars based in United States, Sweden and Russia. Frequent co-authors include Peter J. Park, Peter V. Kharchenko, Robert E. Kingston, Victor B. Zhurkin, Ruslan I. Sadreyev, Matthew D. Simon, Jason A. West, Peggy I. Wang, Hongjae Sunwoo and Christopher P. Davis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Genes & Development, Genome Research and PLoS Genetics.
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.