Mikhail Kashlev

8.9k total citations · 1 hit paper
103 papers, 7.2k citations indexed

About

Mikhail Kashlev is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Mikhail Kashlev has authored 103 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 53 papers in Genetics and 15 papers in Ecology. Recurrent topics in Mikhail Kashlev's work include RNA and protein synthesis mechanisms (77 papers), Bacterial Genetics and Biotechnology (53 papers) and RNA Research and Splicing (28 papers). Mikhail Kashlev is often cited by papers focused on RNA and protein synthesis mechanisms (77 papers), Bacterial Genetics and Biotechnology (53 papers) and RNA Research and Splicing (28 papers). Mikhail Kashlev collaborates with scholars based in United States, Russia and Japan. Mikhail Kashlev's co-authors include N. V. Komissarova, Maria L. Kireeva, Lucyna Lubkowska, Carlos Bustamante, Alex Goldfarb, Evgeny Nudler, Masahiko Imashimizu, Vadim Nikiforov, Vasily M. Studitsky and Wendy Walter and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mikhail Kashlev

101 papers receiving 7.0k citations

Hit Papers

CTCF-promoted RNA polymerase II pausing links DNA methyla... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikhail Kashlev United States 45 6.4k 2.1k 898 467 276 103 7.2k
Sarah A. Woodson United States 58 8.1k 1.3× 1.7k 0.8× 1.7k 1.8× 360 0.8× 189 0.7× 167 8.8k
Shirley A. Müller Switzerland 43 3.9k 0.6× 1.0k 0.5× 402 0.4× 516 1.1× 222 0.8× 84 5.7k
Joseph D. Puglisi United States 61 11.8k 1.8× 1.7k 0.8× 1.1k 1.2× 226 0.5× 340 1.2× 173 13.3k
C.M.T. Spahn Germany 48 6.4k 1.0× 1.3k 0.6× 436 0.5× 161 0.3× 415 1.5× 103 7.6k
Mikel Valle Spain 39 4.4k 0.7× 913 0.4× 624 0.7× 173 0.4× 284 1.0× 69 5.5k
A.R. Ferré-D′Amaré United States 58 9.7k 1.5× 1.3k 0.6× 671 0.7× 90 0.2× 339 1.2× 144 10.5k
Mark S. Dillingham United Kingdom 37 4.8k 0.7× 2.0k 1.0× 583 0.6× 124 0.3× 462 1.7× 76 5.4k
Dietrich Suck Germany 40 5.0k 0.8× 853 0.4× 707 0.8× 408 0.9× 506 1.8× 96 6.6k
Roland Beckmann Germany 70 12.0k 1.9× 2.6k 1.2× 1.1k 1.2× 154 0.3× 424 1.5× 185 13.6k
Achillefs N. Kapanidis United Kingdom 41 4.6k 0.7× 1.4k 0.7× 801 0.9× 394 0.8× 99 0.4× 122 5.9k

Countries citing papers authored by Mikhail Kashlev

Since Specialization
Citations

This map shows the geographic impact of Mikhail Kashlev'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 Kashlev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Kashlev more than expected).

Fields of papers citing papers by Mikhail Kashlev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Kashlev. 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 Kashlev. The network helps show where Mikhail Kashlev may publish in the future.

Co-authorship network of co-authors of Mikhail Kashlev

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Kashlev. A scholar is included among the top collaborators of Mikhail Kashlev 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 Kashlev. Mikhail Kashlev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Kay, Teresa, James T. Inman, Lucyna Lubkowska, et al.. (2025). RNA polymerase II is a polar roadblock to a progressing DNA fork. Nature Communications. 16(1). 8631–8631. 1 indexed citations
3.
Lubkowska, Lucyna, Shuming Zhang, Chuang 创 Tan 谭, et al.. (2025). Chromatin buffers torsional stress during transcription. Science. 391(6792). eadv0134–eadv0134.
5.
Kireeva, Maria L., Kristopher Opron, Steve Seibold, et al.. (2012). Molecular dynamics and mutational analysis of the catalytic and translocation cycle of RNA polymerase. SHILAP Revista de lepidopterología. 5(1). 11–11. 34 indexed citations
6.
Imashimizu, Masahiko, Maria L. Kireeva, Lucyna Lubkowska, et al.. (2012). Intrinsic Translocation Barrier as an Initial Step in Pausing by RNA Polymerase II. Journal of Molecular Biology. 425(4). 697–712. 34 indexed citations
7.
Nedialkov, Yuri A., Kristopher Opron, Irina Artsimovitch, et al.. (2012). The RNA polymerase bridge helix YFI motif in catalysis, fidelity and translocation. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1829(2). 187–198. 30 indexed citations
8.
Kireeva, Maria L., et al.. (2011). Interaction of RNA Polymerase II Fork Loop 2 with Downstream Non-template DNA Regulates Transcription Elongation. Journal of Biological Chemistry. 286(35). 30898–30910. 25 indexed citations
9.
Hodges, H. Courtney, Lacramioara Bintu, Lucyna Lubkowska, Mikhail Kashlev, & Carlos Bustamante. (2009). Nucleosomal Fluctuations Govern the Transcription Dynamics of RNA Polymerase II. Science. 325(5940). 626–628. 283 indexed citations
10.
Kireeva, Maria L., et al.. (2009). Site-directed mutagenesis, purification and assay of Saccharomyces cerevisiae RNA polymerase II. Protein Expression and Purification. 69(1). 83–90. 17 indexed citations
11.
Walmacq, Céline, Maria L. Kireeva, Yuri A. Nedialkov, et al.. (2009). Rpb9 Subunit Controls Transcription Fidelity by Delaying NTP Sequestration in RNA Polymerase II. Journal of Biological Chemistry. 284(29). 19601–19612. 70 indexed citations
12.
Krasilnikova, Maria M., et al.. (2007). Effects of Friedreich's ataxia (GAA)n{middle dot}(TTC)n repeats on RNA synthesis and stability. Nucleic Acids Research. 35(4). 1075–1084. 43 indexed citations
13.
Kireeva, Maria L., et al.. (2005). Nature of the Nucleosomal Barrier to RNA Polymerase II. Molecular Cell. 18(1). 97–108. 190 indexed citations
14.
Walter, Wendy, et al.. (2003). Assay of the Fate of the Nucleosome During Transcription by RNA Polymerase II. Methods in enzymology on CD-ROM/Methods in enzymology. 371. 564–577. 14 indexed citations
15.
Kireeva, Maria L., Lucyna Lubkowska, N. V. Komissarova, & Mikhail Kashlev. (2003). Assays and Affinity Purification of Biotinylated and Nonbiotinylated Forms of Double-Tagged Core RNA Polymerase II from Saccharomyces cerevisiae. Methods in enzymology on CD-ROM/Methods in enzymology. 370. 138–155. 44 indexed citations
16.
Hansma, Helen G., et al.. (1998). Left-handed orientation of histidine-tagged RNA polymerase complexes imaged by atomic force microscopy. 1(2). 127–134. 5 indexed citations
17.
Komissarova, N. V., et al.. (1998). Crucial Role of the RNA:DNA Hybrid in the Processivity of Transcription. Molecular Cell. 2(1). 55–64. 175 indexed citations
18.
Komissarova, N. V. & Mikhail Kashlev. (1997). RNA Polymerase Switches between Inactivated and Activated States By Translocating Back and Forth along the DNA and the RNA. Journal of Biological Chemistry. 272(24). 15329–15338. 225 indexed citations
19.
Kashlev, Mikhail, et al.. (1996). Histidine-tagged RNA polymerase of Escherichia coli and transcription in solid phase. Methods in enzymology on CD-ROM/Methods in enzymology. 274. 326–334. 78 indexed citations
20.
Kashlev, Mikhail, et al.. (1993). Histidine-tagged RNA polymerase: dissection of the transcription cycle using immobilized enzyme. Gene. 130(1). 9–14. 103 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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