V. Е. Kuz’min

4.7k total citations · 1 hit paper
109 papers, 3.2k citations indexed

About

V. Е. Kuz’min is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, V. Е. Kuz’min has authored 109 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Organic Chemistry, 55 papers in Computational Theory and Mathematics and 23 papers in Molecular Biology. Recurrent topics in V. Е. Kuz’min's work include Computational Drug Discovery Methods (55 papers), Chemical Thermodynamics and Molecular Structure (21 papers) and Synthesis and biological activity (15 papers). V. Е. Kuz’min is often cited by papers focused on Computational Drug Discovery Methods (55 papers), Chemical Thermodynamics and Molecular Structure (21 papers) and Synthesis and biological activity (15 papers). V. Е. Kuz’min collaborates with scholars based in Ukraine, United States and Russia. V. Е. Kuz’min's co-authors include Eugene Muratov, A. G. Artemenko, Pavel Polishchuk, Alexander Tropsha, Alexandre Varnek, Denis Fourches, M Cronin, Yvonne C. Martin, Roberto Todeschini and Viviana Consonni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Chemosphere.

In The Last Decade

V. Е. Kuz’min

105 papers receiving 3.1k citations

Hit Papers

QSAR Modeling: Where Have You Been? Where Are You Going To? 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Е. Kuz’min Ukraine 25 2.0k 1.2k 845 784 322 109 3.2k
Hua Gao China 27 1.8k 0.9× 1.5k 1.3× 999 1.2× 741 0.9× 346 1.1× 179 4.5k
Georgia Melagraki Greece 33 1.3k 0.7× 944 0.8× 755 0.9× 792 1.0× 212 0.7× 111 3.1k
Igor I. Baskin Russia 30 3.0k 1.5× 1.9k 1.6× 1.5k 1.8× 713 0.9× 563 1.7× 145 4.7k
Antreas Afantitis Greece 35 1.3k 0.7× 1.0k 0.9× 824 1.0× 823 1.0× 207 0.6× 133 3.4k
Gilles Marcou France 29 1.9k 1.0× 1.4k 1.2× 895 1.1× 414 0.5× 311 1.0× 124 3.0k
James F. Rathman United States 28 1.4k 0.7× 1.2k 1.0× 823 1.0× 1.1k 1.4× 396 1.2× 63 3.9k
Probir Kumar Ojha India 23 1.7k 0.8× 797 0.7× 360 0.4× 710 0.9× 257 0.8× 79 2.8k
Indrani Mitra India 17 1.9k 0.9× 790 0.7× 319 0.4× 961 1.2× 280 0.9× 32 2.7k
Andrea Mauri Italy 14 1.2k 0.6× 885 0.7× 371 0.4× 581 0.7× 442 1.4× 31 2.6k
Dragos Horvath France 31 2.0k 1.0× 1.6k 1.4× 784 0.9× 561 0.7× 365 1.1× 139 3.3k

Countries citing papers authored by V. Е. Kuz’min

Since Specialization
Citations

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

Fields of papers citing papers by V. Е. Kuz’min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Е. Kuz’min. 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 V. Е. Kuz’min. The network helps show where V. Е. Kuz’min may publish in the future.

Co-authorship network of co-authors of V. Е. Kuz’min

This figure shows the co-authorship network connecting the top 25 collaborators of V. Е. Kuz’min. A scholar is included among the top collaborators of V. Е. Kuz’min 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 V. Е. Kuz’min. V. Е. Kuz’min 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.
Kravchenko, Iryna, et al.. (2021). Quantitative structure–activity relationship study on prolonged anticonvulsant activity of terpene derivatives in pentylenetetrazole test. Open Chemistry. 19(1). 1184–1192. 2 indexed citations
3.
Gelmboldt, V.O., et al.. (2020). Prognosis of biological activity and lipophilicity of some pyridine derivatives as components of anti-caries agents. SHILAP Revista de lepidopterología. 79–85. 2 indexed citations
4.
Nikolova, Ivanka, et al.. (2019). Anti-enteroviral activity of new MDL-860 analogues: Synthesis, in vitro/in vivo studies and QSAR analysis. Bioorganic Chemistry. 85. 487–497. 10 indexed citations
5.
Lyakhov, S. А., Gilles Marcou, Dragos Horvath, et al.. (2017). Virtual screening, synthesis and biological evaluation of DNA intercalating antiviral agents. Bioorganic & Medicinal Chemistry Letters. 27(16). 3915–3919. 19 indexed citations
6.
Kuz’min, V. Е., Leonid Gorb, Manoj K. Shukla, et al.. (2016). Novel enhanced applications of QSPR models: Temperature dependence of aqueous solubility. Journal of Computational Chemistry. 37(22). 2045–2051. 17 indexed citations
7.
Kuz’min, V. Е., et al.. (2016). Efficacy of topological informational potentials for analysis of nonequivalent atoms in molecular graphs: the case of chiral fullerenes. Journal of Mathematical Chemistry. 54(10). 1986–1996. 1 indexed citations
8.
Muratov, Eugene, V. Е. Kuz’min, & Leonid Gorb. (2014). Application of Computational Techniques in Pharmacy and Medicine. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 15 indexed citations
9.
Kuz’min, V. Е., et al.. (2012). QSPR Prediction of Lipophilicity for Organic Compounds Using Random Forest Technique on the Basis of Simplex Representation of Molecular Structure. Molecular Informatics. 31(3-4). 273–280. 10 indexed citations
10.
Muratov, Eugene, Ekaterina Varlamova, A. G. Artemenko, Pavel Polishchuk, & V. Е. Kuz’min. (2012). Existing and Developing Approaches for QSAR Analysis of Mixtures. Molecular Informatics. 31(3-4). 202–221. 102 indexed citations
11.
Kuz’min, V. Е., Eugene Muratov, A. G. Artemenko, et al.. (2009). Consensus QSAR Modeling of Phosphor‐Containing Chiral AChE Inhibitors. QSAR & Combinatorial Science. 28(6-7). 664–677. 41 indexed citations
12.
Kuz’min, V. Е., et al.. (2009). New Structural Descriptors of Molecules on the Basis of Symbiosis of the Informational Field Model and Simplex Representation of Molecular Structure. QSAR & Combinatorial Science. 28(9). 939–945. 7 indexed citations
13.
Kuz’min, V. Е., et al.. (2009). QSPR Analysis of Peroxidase Substrates Reactivity. Chemistry & Chemical Technology. 3(4). 255–261.
14.
Kuz’min, V. Е., A. G. Artemenko, Eugene Muratov, et al.. (2007). Quantitative Structure−Activity Relationship Studies of [(Biphenyloxy)propyl]isoxazole Derivatives. Inhibitors of Human Rhinovirus 2 Replication. Journal of Medicinal Chemistry. 50(17). 4205–4213. 58 indexed citations
15.
Kuz’min, V. Е., et al.. (2001). Modeling of the informational field of molecules. Journal of Molecular Modeling. 7(7). 278–285. 8 indexed citations
16.
Kuz’min, V. Е., et al.. (1994). Topological analysis of the structure-mesomorphous property ralationship. Journal of Structural Chemistry. 35(4). 471–477. 1 indexed citations
17.
Kuz’min, V. Е., et al.. (1985). Quantitative shape description for staturated seven-membered rings. Journal of Structural Chemistry. 26(3). 327–331. 1 indexed citations
18.
Kuz’min, V. Е., et al.. (1985). Possible conformational transitions in saturated seven-membered rings. Journal of Structural Chemistry. 26(3). 321–327. 1 indexed citations
19.
Kuz’min, V. Е., et al.. (1985). Relationship between the structural and topological characteristics of molecules. Journal of Structural Chemistry. 26(4). 498–506. 1 indexed citations
20.
Kuz’min, V. Е., et al.. (1984). A set of programs for calculating the topological characteristics of molecules. Journal of Structural Chemistry. 24(4). 645–646. 1 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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