Yaroslav Kholodov

592 total citations · 1 hit paper
40 papers, 390 citations indexed

About

Yaroslav Kholodov is a scholar working on Molecular Biology, Control and Systems Engineering and Cell Biology. According to data from OpenAlex, Yaroslav Kholodov has authored 40 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Control and Systems Engineering and 6 papers in Cell Biology. Recurrent topics in Yaroslav Kholodov's work include Protein Structure and Dynamics (9 papers), Traffic control and management (6 papers) and Enzyme Structure and Function (5 papers). Yaroslav Kholodov is often cited by papers focused on Protein Structure and Dynamics (9 papers), Traffic control and management (6 papers) and Enzyme Structure and Function (5 papers). Yaroslav Kholodov collaborates with scholars based in Russia, United States and China. Yaroslav Kholodov's co-authors include Valeri Barsegov, Artem Zhmurov, Ruxandra I. Dima, Olga Kononova, Kenneth A. Marx, Andrey Alekseenko, Dima Kozakov, Ekaterina L. Grishchuk, Fazly I. Ataullakhanov and Sándor Vajda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Yaroslav Kholodov

38 papers receiving 378 citations

Hit Papers

AI Agents Meet Blockchain... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaroslav Kholodov Russia 11 179 90 58 43 42 40 390
Andrey Alekseenko Russia 10 201 1.1× 17 0.2× 46 0.8× 6 0.1× 5 0.1× 31 322
John Hicks United States 11 100 0.6× 30 0.3× 11 0.2× 18 0.4× 23 0.5× 21 542
Hideaki Yamashita Japan 11 22 0.1× 13 0.1× 31 0.5× 8 0.2× 7 0.2× 51 404
Mary Brady United States 10 108 0.6× 16 0.2× 57 1.0× 2 0.0× 9 0.2× 37 451
Dongheon Lee United States 13 212 1.2× 6 0.1× 23 0.4× 44 1.0× 3 0.1× 22 544
Lixu Wang China 13 255 1.4× 6 0.1× 72 1.2× 3 0.1× 14 0.3× 42 801
Emil Gustavsson Sweden 13 205 1.1× 10 0.1× 26 0.4× 10 0.2× 4 0.1× 18 434
Quang‐Thai Ho Taiwan 14 544 3.0× 11 0.1× 11 0.2× 3 0.1× 6 0.1× 18 794
Ming Yang China 16 266 1.5× 26 0.3× 43 0.7× 26 0.6× 106 784
Fangfang Li China 12 48 0.3× 8 0.1× 28 0.5× 9 0.2× 11 0.3× 47 512

Countries citing papers authored by Yaroslav Kholodov

Since Specialization
Citations

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

Fields of papers citing papers by Yaroslav Kholodov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaroslav Kholodov

This figure shows the co-authorship network connecting the top 25 collaborators of Yaroslav Kholodov. A scholar is included among the top collaborators of Yaroslav Kholodov 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 Yaroslav Kholodov. Yaroslav Kholodov 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.
Karim, Md Monjurul, et al.. (2025). AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agents. Future Internet. 17(2). 57–57. 13 indexed citations breakdown →
2.
Dong, Xuewen, Jiachen Li, Shujun Li, et al.. (2025). Adaptive Backdoor Attacks With Reasonable Constraints on Graph Neural Networks. IEEE Transactions on Dependable and Secure Computing. 22(4). 4053–4069. 1 indexed citations
3.
Kholodov, Yaroslav, et al.. (2025). Quantum annealing for inverse kinematics in robotics. Scientific Reports. 16(1). 4244–4244.
4.
Avetisyan, A., et al.. (2024). Local methods with adaptivity via scaling. Успехи математических наук. 79(6(480)). 117–158.
5.
Desta, Israel, Sergei Kotelnikov, George Jones, et al.. (2023). The ClusPro AbEMap web server for the prediction of antibody epitopes. Nature Protocols. 18(6). 1814–1840. 14 indexed citations
6.
Gasnikov, Alexander, et al.. (2023). An Evolutionary View on Equilibrium Models of Transport Flows. Mathematics. 11(4). 858–858. 1 indexed citations
7.
Desta, Israel, Sergei Kotelnikov, George Jones, et al.. (2022). Mapping of antibody epitopes based on docking and homology modeling. Proteins Structure Function and Bioinformatics. 91(2). 171–182. 10 indexed citations
8.
Kholodov, Yaroslav, et al.. (2021). Generalization Second Order Macroscopic Traffic Models via Relative Velocity of the Congestion Propagation. Mathematics. 9(16). 2001–2001. 4 indexed citations
9.
Alekseenko, Andrey, Sergei Kotelnikov, Mikhail Ignatov, et al.. (2019). ClusPro LigTBM: Automated Template-based Small Molecule Docking. Journal of Molecular Biology. 432(11). 3404–3410. 17 indexed citations
10.
Ignatov, Mikhail, Andrey Alekseenko, Dzmitry Padhorny, et al.. (2018). Monte Carlo on the manifold and MD refinement for binding pose prediction of protein–ligand complexes: 2017 D3R Grand Challenge. Journal of Computer-Aided Molecular Design. 33(1). 119–127. 10 indexed citations
11.
Padhorny, Dzmitry, Andrey Kazennov, Brandon S. Zerbe, et al.. (2016). Protein–protein docking by fast generalized Fourier transforms on 5D rotational manifolds. Proceedings of the National Academy of Sciences. 113(30). E4286–93. 44 indexed citations
12.
Kononova, Olga, Joost Snijder, Yaroslav Kholodov, et al.. (2016). Fluctuating Nonlinear Spring Model of Mechanical Deformation of Biological Particles. PLoS Computational Biology. 12(1). e1004729–e1004729. 16 indexed citations
13.
Kononova, Olga, Yaroslav Kholodov, Kenneth A. Marx, et al.. (2015). 52 Tubulin bond energies and microtubule biomechanics determined from nanoindentationin silico. Journal of Biomolecular Structure and Dynamics. 33(sup1). 35–36. 1 indexed citations
14.
Kazennov, Andrey, Andrey Alekseenko, Dima Kozakov, Dzmitry Padhorny, & Yaroslav Kholodov. (2015). Efficient search for the possible mutual arrangements of two rigid bodies with the use of the generalized five-dimensional Fourier transform. Mathematical Models and Computer Simulations. 7(4). 315–322. 1 indexed citations
15.
Kholodov, Yaroslav, et al.. (2014). Developing the mathematical model of road junction by the hydrodynamic approach. Computer Research and Modeling. 6(4). 503–522. 2 indexed citations
16.
Zhmurov, Artem, Ruxandra I. Dima, Yaroslav Kholodov, & Valeri Barsegov. (2010). Sop‐GPU: Accelerating biomolecular simulations in the centisecond timescale using graphics processors. Proteins Structure Function and Bioinformatics. 78(14). 2984–2999. 51 indexed citations
17.
Kholodov, Yaroslav, et al.. (2010). Building a high-performance computing system for simulation of gas dynamics. Computer Research and Modeling. 2(3). 309–317. 3 indexed citations
18.
Kholodov, Yaroslav, et al.. (2004). Computational Models on Graphs for the Nonlinear Hyperbolic System of Equations. 161–167. 4 indexed citations
19.
Холодов, А. С., et al.. (2004). Numerical modeling of behavior of high-energy plasmoid in upper ionosphere. Computer Physics Communications. 164(1-3). 258–261. 1 indexed citations
20.
Kholodov, Yaroslav. (2000). A Monotone High-Order Accuracy Scheme for Hyperbolic CFD Problems. APS. 53. 2 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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