I. B. Kovalenko

864 total citations
66 papers, 624 citations indexed

About

I. B. Kovalenko is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Cellular and Molecular Neuroscience. According to data from OpenAlex, I. B. Kovalenko has authored 66 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 22 papers in Atomic and Molecular Physics, and Optics and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in I. B. Kovalenko's work include Photosynthetic Processes and Mechanisms (40 papers), Spectroscopy and Quantum Chemical Studies (22 papers) and Photoreceptor and optogenetics research (13 papers). I. B. Kovalenko is often cited by papers focused on Photosynthetic Processes and Mechanisms (40 papers), Spectroscopy and Quantum Chemical Studies (22 papers) and Photoreceptor and optogenetics research (13 papers). I. B. Kovalenko collaborates with scholars based in Russia, Tajikistan and France. I. B. Kovalenko's co-authors include G. Yu. Riznichenko, A. B. Rubin, Taras К. Antal, Andrew Rubin, M. G. Strakhovskaya, Philipp S. Orekhov, Nikita B. Gudimchuk, A. B. Rubin, Esa Tyystjärvi and Marine E. Bozdaganyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and Analytical Biochemistry.

In The Last Decade

I. B. Kovalenko

59 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. B. Kovalenko Russia 15 453 162 152 105 86 66 624
Dmitry V. Zlenko Russia 16 428 0.9× 45 0.3× 87 0.6× 221 2.1× 14 0.2× 76 717
Romina Paola Barbagallo United Kingdom 10 455 1.0× 56 0.3× 305 2.0× 109 1.0× 20 0.2× 12 658
Sergey A. Siletsky Russia 18 960 2.1× 141 0.9× 48 0.3× 24 0.2× 212 2.5× 32 1.2k
Cindy Weitzman United States 7 819 1.8× 57 0.4× 147 1.0× 9 0.1× 53 0.6× 8 1.0k
H.S. van Walraven Netherlands 16 706 1.6× 52 0.3× 107 0.7× 51 0.5× 33 0.4× 35 800
Joanna Grzyb Poland 16 497 1.1× 37 0.2× 208 1.4× 184 1.8× 19 0.2× 48 852
Hanayo Nakanishi Japan 12 375 0.8× 50 0.3× 217 1.4× 13 0.1× 34 0.4× 14 515
Tomisaburo Kakuno Japan 13 463 1.0× 48 0.3× 108 0.7× 116 1.1× 43 0.5× 49 582
Reza Razeghifard United States 10 305 0.7× 49 0.3× 123 0.8× 87 0.8× 19 0.2× 17 448
Grzegorz Wieczorek Poland 7 327 0.7× 20 0.1× 64 0.4× 36 0.3× 29 0.3× 14 484

Countries citing papers authored by I. B. Kovalenko

Since Specialization
Citations

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

Fields of papers citing papers by I. B. Kovalenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. B. Kovalenko. 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 I. B. Kovalenko. The network helps show where I. B. Kovalenko may publish in the future.

Co-authorship network of co-authors of I. B. Kovalenko

This figure shows the co-authorship network connecting the top 25 collaborators of I. B. Kovalenko. A scholar is included among the top collaborators of I. B. Kovalenko 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 I. B. Kovalenko. I. B. Kovalenko 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.
Kovalenko, I. B., et al.. (2025). Investigation of Porin-Dependent Translocation of Methylene Blue and Gentamicin through the Outer Membrane of Gram-Negative Bacteria Using Molecular Dynamics Methods. Mathematical Biology and Bioinformatics. 20(1). 71–82. 1 indexed citations
2.
Bozdaganyan, Marine E., et al.. (2025). Exploring tubulin-paclitaxel binding modes through extensive molecular dynamics simulations. Scientific Reports. 15(1). 8378–8378. 7 indexed citations
3.
Strakhovskaya, M. G., et al.. (2025). Molecular modeling of the methylene blue interaction with the SARS-CoV-2 coronavirus viroporin. 80(№2, 2025). 96–104.
4.
Kovalenko, I. B., et al.. (2024). Plastocyanin and Cytochrome f Complex Structures Obtained by NMR, Molecular Dynamics, and AlphaFold 3 Methods Compared to Cryo-EM Data. International Journal of Molecular Sciences. 25(20). 11083–11083. 4 indexed citations
5.
Vassilevski, Yuri, et al.. (2024). Patellar motion and dysfunction of its stabilizers in a biomechanical model of the knee joint. SHILAP Revista de lepidopterología. 15(1). 47–60.
6.
Kovalenko, I. B., et al.. (2024). The Impact of a Catalytic Site Mutation on the Shape and Mechanics of Tubulin Protofilaments. Mathematical Biology and Bioinformatics. 19(2). 393–401.
7.
Kovalenko, I. B., et al.. (2024). Molecular dynamics of tubulin protofilaments and the effect of taxol on their bending deformation. Computer Research and Modeling. 16(2). 503–512. 1 indexed citations
8.
9.
Kovalenko, I. B., et al.. (2023). Interaction of Methylene Blue with Severe Acute Respiratory Syndrome Coronavirus 2 Envelope Revealed by Molecular Modeling. International Journal of Molecular Sciences. 24(21). 15909–15909. 1 indexed citations
10.
Gudimchuk, Nikita B., et al.. (2023). High-Performance Computing of Microtubule Protofilament Dynamics by Means of All-Atom Molecular Modeling. Supercomputing Frontiers and Innovations. 10(4). 1 indexed citations
11.
Kovalenko, I. B., et al.. (2023). Analysis of Brownian and molecular dynamics trajectories of to reveal the mechanisms of protein-protein interactions. Computer Research and Modeling. 15(3). 723–738. 1 indexed citations
12.
Riznichenko, G. Yu., et al.. (2022). Mathematical Simulation of Electron Transport in the Primary Photosynthetic Processes. Biochemistry (Moscow). 87(10). 1065–1083. 1 indexed citations
13.
Chen, Jiayi, et al.. (2021). α-tubulin tail modifications regulate microtubule stability through selective effector recruitment, not changes in intrinsic polymer dynamics. Developmental Cell. 56(14). 2016–2028.e4. 57 indexed citations
14.
Kovalenko, I. B., et al.. (2019). Chromium effects on photosynthetic electron transport in pea (Pisum sativum L.). Planta. 251(1). 11–11. 32 indexed citations
15.
Kovalenko, I. B., et al.. (2017). Multiparticle Brownian dynamics simulation of experimental kinetics of cytochrome bf oxidation and photosystem I reduction by plastocyanin. Physiologia Plantarum. 161(1). 88–96. 15 indexed citations
16.
Strakhovskaya, M. G., et al.. (2013). PROMISING PHOTOSENSITIZER FOR ANTIMICROBIAL PHOTODYNAMIC THERAPY. Journal of clinical practice. 4(1). 25–30. 1 indexed citations
17.
Antal, Taras К., I. B. Kovalenko, Andrew Rubin, & Esa Tyystjärvi. (2013). Photosynthesis-related quantities for education and modeling. Photosynthesis Research. 117(1-3). 1–30. 51 indexed citations
18.
Kovalenko, I. B., et al.. (2011). Mechanisms of interaction of electron transport proteins in photosynthetic membranes of cyanobacteria. Doklady Biochemistry and Biophysics. 440(1). 213–215. 2 indexed citations
19.
Kovalenko, I. B., et al.. (2010). Computer simulation of interaction of photosystem 1 with plastocyanin and ferredoxin. Biosystems. 103(2). 180–187. 22 indexed citations
20.
Kovalenko, I. B., et al.. (2006). Direct simulation of plastocyanin and cytochrome f interactions in solution. Physical Biology. 3(2). 121–129. 33 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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