Mikhail Spivakov
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics 26
- Epigenetics and DNA Methylation 12
- RNA Research and Splicing 11
- CRISPR and Genetic Engineering 7
- RNA modifications and cancer 5
- Pluripotent Stem Cells Research 4
- RNA and protein synthesis mechanisms 4
- Single-cell and spatial transcriptomics 3
- Immunology top 2%
- Cancer Research top 5%
- Genetics top 5%
- Aging top 10%
- Co-authors
- Amanda G. FisherMatthias MerkenschlagerStephan SauerHelle F. JørgensenVéronique AzuaraGary WarnesBradley S. CobbMarion Leleu
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Mikhail Spivakov
39 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 4.1k
- Immunology 1.1k
- Cancer Research 388
- Genetics 700
- Aging 32
Countries citing papers authored by Mikhail Spivakov
This map shows the geographic impact of Mikhail Spivakov'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 Mikhail Spivakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Spivakov more than expected).
Fields of papers citing papers by Mikhail Spivakov
This network shows the impact of papers produced by Mikhail Spivakov. 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 Mikhail Spivakov. The network helps show where Mikhail Spivakov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mikhail Spivakov, 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 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 15 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 109 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 209 | |
| 10 | 2017 | 201 | |
| 11 | 2017 | 155 | |
| 12 | 2016 | 223 | |
| 13 | 2016 | 37 | |
| 14 | 2016 | 48 | |
| 15 | 2016 | 3 | |
| 16 | 2012 | 194 | |
| 17 | Cohesins Functionally Associate with CTCF on Mammalian Chromosome Armsbreakdown → | 2008 | 699 |
| 18 | 2007 | 63 | |
| 19 | 2007 | 299 | |
| 20 | 2004 | 75 |
About Mikhail Spivakov
Mikhail Spivakov is a scholar working on Molecular Biology, Immunology and Genetics, having authored 39 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (12 papers), RNA Research and Splicing (11 papers), CRISPR and Genetic Engineering (7 papers), RNA modifications and cancer (5 papers), Pluripotent Stem Cells Research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Immunology (1.1k citations) and Cancer Research (388 citations). Mikhail Spivakov has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Amanda G. Fisher, Matthias Merkenschlager, Stephan Sauer, Helle F. Jørgensen, Véronique Azuara, Gary Warnes, Bradley S. Cobb, Marion Leleu, Miguel Casanova and Rosalind M. John. Their work appears in journals such as Genome biology, Nature Communications, Blood, Nature Genetics and Proceedings of the National Academy of Sciences.
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.