Andriy Kovalenko

8.6k total citations · 1 hit paper
185 papers, 7.0k citations indexed

About

Andriy Kovalenko is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Andriy Kovalenko has authored 185 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Atomic and Molecular Physics, and Optics, 62 papers in Molecular Biology and 51 papers in Materials Chemistry. Recurrent topics in Andriy Kovalenko's work include Spectroscopy and Quantum Chemical Studies (67 papers), Protein Structure and Dynamics (48 papers) and Phase Equilibria and Thermodynamics (27 papers). Andriy Kovalenko is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (67 papers), Protein Structure and Dynamics (48 papers) and Phase Equilibria and Thermodynamics (27 papers). Andriy Kovalenko collaborates with scholars based in Canada, Japan and Ukraine. Andriy Kovalenko's co-authors include Fumio Hirata, Sergey Gusarov, Takashi Imai, Stanislav R. Stoyanov, Takeshi Yamazaki, N. S. Blinov, Masahiro Kinoshita, Seiichiro Ten‐no, I. P. Omelyan and Tyler Luchko and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Andriy Kovalenko

183 papers receiving 6.9k citations

Hit Papers

Self-consistent description of a metal–water interface by... 1999 2026 2008 2017 1999 100 200 300 400 500
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.

  1. Self-consistent description of a metal–water interface by the Kohn–Sham density functional theory and the three-dimensional reference interaction site model
    1999 581 citations Andriy Kovalenko, Fumio Hirata The Journal of Chemical Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andriy Kovalenko Canada 44 2.9k 2.8k 1.9k 1.3k 1.1k 185 7.0k
Alexander P. Lyubartsev Sweden 54 4.5k 1.6× 3.2k 1.1× 2.5k 1.3× 1.9k 1.5× 1.3k 1.2× 173 9.8k
Masahiro Kinoshita Japan 42 2.8k 1.0× 1.7k 0.6× 2.1k 1.1× 965 0.7× 650 0.6× 298 6.3k
Nobuyuki Matubayasi Japan 43 1.5k 0.5× 2.2k 0.8× 1.4k 0.7× 2.0k 1.5× 663 0.6× 263 6.1k
Aatto Laaksonen Sweden 48 2.2k 0.8× 3.0k 1.1× 2.6k 1.4× 1.7k 1.3× 1.2k 1.1× 296 9.8k
Nico F. A. van der Vegt Germany 56 2.6k 0.9× 2.1k 0.7× 3.8k 2.1× 2.4k 1.9× 825 0.8× 189 9.8k
Shekhar Garde United States 48 3.1k 1.1× 3.4k 1.2× 2.8k 1.5× 2.9k 2.2× 1.1k 1.0× 101 8.5k
A. T. Hagler United States 45 4.2k 1.5× 2.2k 0.8× 3.3k 1.8× 1.1k 0.8× 1.6k 1.5× 120 10.9k
Jed W. Pitera United States 30 3.3k 1.2× 1.6k 0.6× 2.2k 1.2× 767 0.6× 294 0.3× 68 6.1k
Fumio Hirata Japan 50 4.2k 1.5× 6.2k 2.2× 2.5k 1.4× 1.7k 1.3× 2.8k 2.6× 285 11.1k
George A. Kaminski United States 19 3.1k 1.1× 1.7k 0.6× 1.2k 0.6× 420 0.3× 554 0.5× 34 5.7k

Countries citing papers authored by Andriy Kovalenko

Since Specialization
Citations

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

Fields of papers citing papers by Andriy Kovalenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andriy Kovalenko

This figure shows the co-authorship network connecting the top 25 collaborators of Andriy Kovalenko. A scholar is included among the top collaborators of Andriy 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 Andriy Kovalenko. Andriy 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.
Raj, Shammy, et al.. (2023). Substance P analogs devoid of key residues fail to activate human mast cells via MRGPRX2. Frontiers in Immunology. 14. 1155740–1155740. 3 indexed citations
2.
Hinge, Vijaya Kumar, Dipankar Roy, & Andriy Kovalenko. (2019). Prediction of P-glycoprotein inhibitors with machine learning classification models and 3D-RISM-KH theory based solvation energy descriptors. Journal of Computer-Aided Molecular Design. 33(11). 965–971. 7 indexed citations
3.
Hinge, Vijaya Kumar, N. S. Blinov, Dipankar Roy, David S. Wishart, & Andriy Kovalenko. (2019). The role of hydration effects in 5-fluorouridine binding to SOD1: insight from a new 3D-RISM-KH based protocol for including structural water in docking simulations. Journal of Computer-Aided Molecular Design. 33(10). 913–926. 4 indexed citations
4.
Nguyen, Crystal N., Takeshi Yamazaki, Andriy Kovalenko, et al.. (2019). A molecular reconstruction approach to site-based 3D-RISM and comparison to GIST hydration thermodynamic maps in an enzyme active site. PLoS ONE. 14(7). e0219473–e0219473. 26 indexed citations
5.
Hinge, Vijaya Kumar, Dipankar Roy, & Andriy Kovalenko. (2019). Predicting skin permeability using the 3D-RISM-KH theory based solvation energy descriptors for a diverse class of compounds. Journal of Computer-Aided Molecular Design. 33(6). 605–611. 5 indexed citations
6.
Roy, Dipankar, Vijaya Kumar Hinge, & Andriy Kovalenko. (2019). Predicting Blood–Brain Partitioning of Small Molecules Using a Novel Minimalistic Descriptor-Based Approach via the 3D-RISM-KH Molecular Solvation Theory. ACS Omega. 4(2). 3055–3060. 11 indexed citations
7.
Roy, Dipankar, Vijaya Kumar Hinge, & Andriy Kovalenko. (2019). To Pass or Not To Pass: Predicting the Blood–Brain Barrier Permeability with the 3D-RISM-KH Molecular Solvation Theory. ACS Omega. 4(16). 16774–16780. 41 indexed citations
8.
Kovalenko, Andriy & Sergey Gusarov. (2017). Multiscale methods framework: self-consistent coupling of molecular theory of solvation with quantum chemistry, molecular simulations, and dissipative particle dynamics. Physical Chemistry Chemical Physics. 20(5). 2947–2969. 21 indexed citations
9.
Kobryn, Alexander E., Sergey Gusarov, & Andriy Kovalenko. (2016). A closure relation to molecular theory of solvation for macromolecules. Journal of Physics Condensed Matter. 28(40). 404003–404003. 24 indexed citations
10.
Blinov, N. S., et al.. (2014). Biomolecular Recognition Based on 3D Molecular Theory of Solvation. Biophysical Journal. 106(2). 411a–411a. 1 indexed citations
11.
Veregin, Richard P. N., et al.. (2013). Linking the Chemistry and Physics of Electronic Charge Transfer in Insulators: Theory and Experiment. Journal of Imaging Science and Technology. 57(3). 30401–1. 2 indexed citations
12.
Pagadala, Nataraj Sekhar, Trent C. Bjorndahl, N. S. Blinov, Andriy Kovalenko, & David S. Wishart. (2013). Molecular docking of thiamine reveals similarity in binding properties between the prion protein and other thiamine-binding proteins. Journal of Molecular Modeling. 19(12). 5225–5235. 11 indexed citations
13.
Omelyan, I. P. & Andriy Kovalenko. (2012). Generalised canonical–isokinetic ensemble: speeding up multiscale molecular dynamics and coupling with 3D molecular theory of solvation. Molecular Simulation. 39(1). 25–48. 14 indexed citations
14.
Imai, Takashi, Naoyuki Miyashita, Yuji Sugita, et al.. (2011). Functionality Mapping on Internal Surfaces of Multidrug Transporter AcrB Based on Molecular Theory of Solvation: Implications for Drug Efflux Pathway. The Journal of Physical Chemistry B. 115(25). 8288–8295. 42 indexed citations
15.
Pujari, Bhalchandra S., Sergey Gusarov, Michael Brett, & Andriy Kovalenko. (2011). Single-side-hydrogenated graphene: Density functional theory predictions. Physical Review B. 84(4). 85 indexed citations
16.
Johnson, Ross S., Andrew J. Myles, Jae‐Young Cho, et al.. (2010). Rosette nanotubes with 1.4 nm inner diameter from a tricyclic variant of the Lehn–Mascal G∧C base. Chemical Communications. 46(35). 6527–6527. 22 indexed citations
17.
Imai, Takashi, Koji Oda, Andriy Kovalenko, Fumio Hirata, & Akinori Kidera. (2009). Ligand Mapping on Protein Surfaces by the 3D-RISM Theory: Toward Computational Fragment-Based Drug Design. Journal of the American Chemical Society. 131(34). 12430–12440. 94 indexed citations
18.
Livadaru, Lucian & Andriy Kovalenko. (2006). The role of capillary and surface forces in the crossover behavior of solid nanoparticles at liquid interfaces. Journal of Colloid and Interface Science. 304(1). 254–260. 7 indexed citations
19.
Imai, Takashi, et al.. (2006). Theoretical Study of Volume Changes Accompanying Xenon−Lysozyme Binding:  Implications for the Molecular Mechanism of Pressure Reversal of Anesthesia. The Journal of Physical Chemistry B. 110(24). 12149–12154. 18 indexed citations
20.
Kovalenko, Andriy, Fumio Hirata, & Masahiro Kinoshita. (2000). Hydration structure and stability of Met-enkephalin studied by a three-dimensional reference interaction site model with a repulsive bridge correction and a thermodynamic perturbation method. The Journal of Chemical Physics. 113(21). 9830–9836. 24 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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