Ivan V. Surovtsev

3.9k total citations · 1 hit paper
34 papers, 2.5k citations indexed

About

Ivan V. Surovtsev is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Ivan V. Surovtsev has authored 34 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Genetics and 6 papers in Ecology. Recurrent topics in Ivan V. Surovtsev's work include Bacterial Genetics and Biotechnology (10 papers), Bacteriophages and microbial interactions (6 papers) and Genomics and Chromatin Dynamics (6 papers). Ivan V. Surovtsev is often cited by papers focused on Bacterial Genetics and Biotechnology (10 papers), Bacteriophages and microbial interactions (6 papers) and Genomics and Chromatin Dynamics (6 papers). Ivan V. Surovtsev collaborates with scholars based in United States, Russia and Finland. Ivan V. Surovtsev's co-authors include Christine Jacobs‐Wagner, Bradley R. Parry, Manuel Campos, Corey S. O’Hern, Eric R. Dufresne, Matthew T. Cabeen, Bruno Beltran, Setsu Kato, Paul A. Lindahl and Thierry Emonet and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ivan V. Surovtsev

31 papers receiving 2.5k citations

Hit Papers

The Bacterial Cytoplasm H... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan V. Surovtsev United States 17 1.7k 1.0k 547 248 235 34 2.5k
Oleg A. Igoshin United States 31 1.5k 0.9× 838 0.8× 345 0.6× 146 0.6× 350 1.5× 95 2.3k
Matthew T. Cabeen United States 16 1.1k 0.6× 578 0.6× 377 0.7× 163 0.7× 185 0.8× 31 1.7k
Suckjoon Jun United States 29 2.4k 1.4× 1.6k 1.6× 689 1.3× 145 0.6× 711 3.0× 40 3.4k
Marcelo Nöllmann France 34 2.9k 1.7× 835 0.8× 590 1.1× 174 0.7× 308 1.3× 88 4.1k
Ulrich Gerland Germany 33 3.2k 1.8× 1.2k 1.2× 259 0.5× 93 0.4× 329 1.4× 90 4.2k
Ariel Amir United States 26 1.2k 0.7× 860 0.9× 240 0.4× 123 0.5× 208 0.9× 86 2.3k
A.M. Bilwes United States 27 2.4k 1.4× 1.0k 1.0× 301 0.6× 317 1.3× 94 0.4× 29 3.2k
Avigdor Eldar Israel 25 2.4k 1.4× 838 0.8× 324 0.6× 321 1.3× 244 1.0× 43 3.1k
Martin Loose Austria 17 1.2k 0.7× 549 0.5× 295 0.5× 477 1.9× 181 0.8× 33 1.6k
Robert M. Weis United States 22 1.8k 1.0× 633 0.6× 187 0.3× 158 0.6× 224 1.0× 43 2.3k

Countries citing papers authored by Ivan V. Surovtsev

Since Specialization
Citations

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

Fields of papers citing papers by Ivan V. Surovtsev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan V. Surovtsev. 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 Ivan V. Surovtsev. The network helps show where Ivan V. Surovtsev may publish in the future.

Co-authorship network of co-authors of Ivan V. Surovtsev

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan V. Surovtsev. A scholar is included among the top collaborators of Ivan V. Surovtsev 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 Ivan V. Surovtsev. Ivan V. Surovtsev 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
1.
Surovtsev, Ivan V., et al.. (2025). A quantitative ultrastructural timeline of nuclear autophagy reveals a role for dynamin-like protein 1 at the nuclear envelope. Nature Cell Biology. 27(3). 464–476. 2 indexed citations
3.
King, Megan C., et al.. (2024). Identifying topologically associating domains using differential kernels. PLoS Computational Biology. 20(7). e1012221–e1012221.
4.
Yan, Hao, et al.. (2024). Effect of loops on the mean-square displacement of Rouse-model chromatin. Physical review. E. 109(4). 44502–44502. 4 indexed citations
5.
Yan, Hao, et al.. (2021). Extrusion of chromatin loops by a composite loop extrusion factor. Physical review. E. 104(2). 24414–24414. 1 indexed citations
6.
Delarue, Morgan, Gregory Brittingham, Stefan Pfeffer, et al.. (2018). mTORC1 Controls Phase Separation and the Biophysical Properties of the Cytoplasm by Tuning Crowding. Cell. 174(2). 338–349.e20. 299 indexed citations
7.
Surovtsev, Ivan V. & Christine Jacobs‐Wagner. (2018). Subcellular Organization: A Critical Feature of Bacterial Cell Replication. Cell. 172(6). 1271–1293. 123 indexed citations
8.
Arias-Cartín, Rodrigo, Genevieve S Dobihal, Manuel Campos, et al.. (2016). Replication fork passage drives asymmetric dynamics of a critical nucleoid‐associated protein in Caulobacter. The EMBO Journal. 36(3). 301–318. 37 indexed citations
9.
Surovtsev, Ivan V., Hoong Chuin Lim, & Christine Jacobs‐Wagner. (2016). The Slow Mobility of the ParA Partitioning Protein Underlies Its Steady-State Patterning in Caulobacter. Biophysical Journal. 110(12). 2790–2799. 24 indexed citations
10.
Parry, Bradley R., Manuel Campos, Irnov Irnov, et al.. (2015). Oufti: an integrated software package for high‐accuracy, high‐throughput quantitative microscopy analysis. Molecular Microbiology. 99(4). 767–777. 277 indexed citations
11.
Parry, Bradley R., Ivan V. Surovtsev, Matthew T. Cabeen, et al.. (2014). Cellular Metabolism Fluidizes the Glassy Bacterial Cytoplasm. Biophysical Journal. 106(2). 313a–313a.
12.
Campos, Manuel, et al.. (2014). A Constant Size Extension Drives Bacterial Cell Size Homeostasis. Cell. 159(6). 1433–1446. 303 indexed citations
13.
Parry, Bradley R., Ivan V. Surovtsev, Matthew T. Cabeen, et al.. (2013). The Bacterial Cytoplasm Has Glass-like Properties and Is Fluidized by Metabolic Activity. Cell. 156(1-2). 183–194. 590 indexed citations breakdown →
14.
Llopis, Paula Montero, Audrey Jackson, Oleksii Sliusarenko, et al.. (2010). Spatial organization of the flow of genetic information in bacteria. Nature. 466(7302). 77–81. 293 indexed citations
15.
Surovtsev, Ivan V., Jeffrey J. Morgan, & Paul A. Lindahl. (2008). Kinetic Modeling of the Assembly, Dynamic Steady State, and Contraction of the FtsZ Ring in Prokaryotic Cytokinesis. PLoS Computational Biology. 4(7). e1000102–e1000102. 37 indexed citations
16.
Stubna, Audria, et al.. (2006). Mössbauer and EPR Study of Recombinant Acetyl-CoA Synthase from Moorella thermoacetica. Biochemistry. 45(28). 8674–8685. 33 indexed citations
17.
Протопопова, Е. В., et al.. (2004). [Laminin-binding protein as a cellular receptor for the equine Venezuelan encephalomyelitis virus: Report 2. Inhibition of replication of equine Venezuelan encephalomyelitis virus by blocking laminin-binding protein on the surface of Vero cells].. PubMed. 36–40. 2 indexed citations
18.
Morgan, Jeffrey J., Ivan V. Surovtsev, & Paul A. Lindahl. (2004). A framework for whole-cell mathematical modeling. Journal of Theoretical Biology. 231(4). 581–596. 22 indexed citations
19.
Shvalov, Аlexander N., Juhani T. Soini, Ivan V. Surovtsev, et al.. (2000). IndividualEscherichia coli cells studied from light scattering with the scanning flow cytometer. Cytometry. 41(1). 41–45. 21 indexed citations
20.
Shvalov, Аlexander N., Ivan V. Surovtsev, Andrei V. Chernyshev, Juhani T. Soini, & Valeri P. Maltsev. (1999). Particle classification from light scattering with the scanning flow cytometer. Cytometry. 37(3). 215–220. 34 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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