Mikhail Spivakov

9.8k total citations · 3 hit papers
39 papers, 5.1k citations indexed

About

Mikhail Spivakov is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Mikhail Spivakov has authored 39 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Immunology. Recurrent topics in Mikhail Spivakov's work include Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (12 papers) and RNA Research and Splicing (11 papers). Mikhail Spivakov is often cited by papers focused on Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (12 papers) and RNA Research and Splicing (11 papers). Mikhail Spivakov collaborates with scholars based in United Kingdom, United States and Germany. Mikhail Spivakov's co-authors include Amanda G. Fisher, Matthias Merkenschlager, Stephan Sauer, Helle F. Jørgensen, Véronique Azuara, Gary Warnes, Bradley S. Cobb, Marion Leleu, Rosalind M. John and Miguel Casanova and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mikhail Spivakov

39 papers receiving 5.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Chromatin signatures of pluripotent cell lines

2006 1.0k citations Véronique Azuara, Stephan Sauer et al. profile →
Cohesins Functionally Associate with CTCF on Mammalian Chromosome Arms

2008 699 citations Mikhail Spivakov, Stephan Sauer et al. Cell profile →
T cell receptor signaling controls Foxp3 expression via PI3K, Akt, and mTOR

2008 699 citations Stephan Sauer, Mikhail Spivakov et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mikhail Spivakov United Kingdom	29	4.1k	1.1k	700	579	388	39	5.1k
Stephan Sauer United Kingdom	14	3.8k 0.9×	832 0.8×	656 0.9×	544 0.9×	247 0.6×	18	4.7k
G. Grant Welstead United States	15	4.6k 1.1×	712 0.7×	905 1.3×	241 0.4×	512 1.3×	22	5.6k
Michael H. Kagey United States	15	5.1k 1.3×	505 0.5×	549 0.8×	457 0.8×	624 1.6×	34	5.8k
Beijing Wu United States	10	4.8k 1.2×	1.1k 1.0×	583 0.8×	365 0.6×	1.0k 2.7×	10	5.8k
Dmitri Loukinov United States	28	3.1k 0.8×	515 0.5×	1.1k 1.5×	284 0.5×	350 0.9×	44	3.6k
Iros Barozzi Italy	34	4.4k 1.1×	1.4k 1.3×	566 0.8×	310 0.5×	1.1k 2.9×	59	5.7k
Dana J. Huebert United States	8	5.0k 1.2×	313 0.3×	833 1.2×	427 0.7×	459 1.2×	8	5.5k
Niall Dillon United Kingdom	34	4.4k 1.1×	523 0.5×	996 1.4×	706 1.2×	212 0.5×	64	5.1k
Alexander Kohlmaier Germany	16	4.7k 1.2×	946 0.9×	626 0.9×	480 0.8×	1.3k 3.4×	19	5.7k
Anja Ebert Austria	22	2.5k 0.6×	887 0.8×	340 0.5×	424 0.7×	207 0.5×	28	3.5k

Countries citing papers authored by Mikhail Spivakov

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mikhail Spivakov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Spivakov. A scholar is included among the top collaborators of Mikhail Spivakov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail Spivakov. Mikhail Spivakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ray-Jones, Helen, Changmin Sung, Frances Burden, et al.. (2025). Genetic coupling of enhancer activity and connectivity in gene expression control. Nature Communications. 16(1). 970–970. 1 indexed citations

Figg, Nichola, Maria Imaz, Kirsty Foote, et al.. (2024). Network-based prioritization and validation of regulators of vascular smooth muscle cell proliferation in disease. Nature Cardiovascular Research. 3(6). 714–733. 7 indexed citations

Taylor, Annabel L., Lina Dobnikar, Joel Chappell, et al.. (2022). Cellular mechanisms of oligoclonal vascular smooth muscle cell expansion in cardiovascular disease. Cardiovascular Research. 119(5). 1279–1294. 28 indexed citations

Grinberg, Nastasiya F., et al.. (2020). Functional effects of variation in transcription factor binding highlight long-range gene regulation by epromoters. Nucleic Acids Research. 48(6). 2866–2879. 13 indexed citations

Thiecke, Michiel J., Gordana Wutz, Matthias Muhar, et al.. (2020). Cohesin-Dependent and -Independent Mechanisms Mediate Chromosomal Contacts between Promoters and Enhancers. Cell Reports. 32(3). 107929–107929. 109 indexed citations

Spivakov, Mikhail, et al.. (2020). Silencers in the spotlight. Nature Genetics. 52(3). 244–245. 12 indexed citations

Cairns, Jonathan, William R. Orchard, Valeriya Malysheva, & Mikhail Spivakov. (2019). Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data. Bioinformatics. 35(22). 4764–4766. 12 indexed citations

Dobnikar, Lina, Annabel L. Taylor, Joel Chappell, et al.. (2018). Disease-relevant transcriptional signatures identified in individual smooth muscle cells from healthy mouse vessels. Nature Communications. 9(1). 4567–4567. 209 indexed citations

Choy, Mun‐Kit, Biola M. Javierre, Simon G. Williams, et al.. (2018). Promoter interactome of human embryonic stem cell-derived cardiomyocytes connects GWAS regions to cardiac gene networks. Nature Communications. 9(1). 2526–2526. 42 indexed citations

10.

Rubin, Adam J., Brook C. Barajas, Mayra Furlan-Magaril, et al.. (2017). Lineage-specific dynamic and pre-established enhancer–promoter contacts cooperate in terminal differentiation. Nature Genetics. 49(10). 1522–1528. 201 indexed citations

11.

Schofield, Ellen, T.L.W. Carver, Premanand Achuthan, et al.. (2016). CHiCP: a web-based tool for the integrative and interactive visualization of promoter capture Hi-C datasets. Bioinformatics. 32(16). 2511–2513. 37 indexed citations

12.

Cairns, Jonathan, et al.. (2016). Analysis of Promoter Capture Hi-C data for GM12878 and mouse ES cells using the CHiCAGO pipeline. OSF Preprints (OSF Preprints). 1 indexed citations

13.

Spivakov, Mikhail & Peter Fraser. (2016). Defining cell type with chromatin profiling. Nature Biotechnology. 34(11). 1126–1128. 3 indexed citations

14.

Cairns, Jonathan, Paula Freire-Pritchett, Steven Wingett, et al.. (2016). CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data. Genome biology. 17(1). 127–127. 223 indexed citations

15.

Joshi, Onkar, Shuang-Yin Wang, Tatyana Kuznetsova, et al.. (2015). Dynamic Reorganization of Extremely Long-Range Promoter-Promoter Interactions between Two States of Pluripotency. Cell stem cell. 17(6). 748–757. 149 indexed citations

16.

Spivakov, Mikhail. (2014). Spurious transcription factor binding: Non‐functional or genetically redundant?. BioEssays. 36(8). 798–806. 64 indexed citations

17.

Spivakov, Mikhail, Junaid Akhtar, Pouya Kheradpour, et al.. (2012). Analysis of variation at transcription factor binding sites in Drosophila and humans. Genome biology. 13(9). R49–R49. 65 indexed citations

18.

Junion, Guillaume, Mikhail Spivakov, Charles Girardot, et al.. (2012). A Transcription Factor Collective Defines Cardiac Cell Fate and Reflects Lineage History. Cell. 148(3). 473–486. 194 indexed citations

19.

Jørgensen, Helle F., Véronique Azuara, Shannon Amoils, et al.. (2007). The impact of chromatin modifiers on the timing of locus replication in mouse embryonic stem cells. Genome biology. 8(8). R169–R169. 63 indexed citations

20.

Sauer, Stephan, Nathalie Billon, William D. Richardson, et al.. (2004). A dynamic switch in the replication timing of key regulator genes in embryonic stem cells upon neural induction.. PubMed. 3(12). 1645–50. 87 indexed citations

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.

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