Victor A. Terentiev

1.9k total citations
7 papers, 40 citations indexed

About

Victor A. Terentiev is a scholar working on Molecular Biology, Computational Theory and Mathematics and Microbiology. According to data from OpenAlex, Victor A. Terentiev has authored 7 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Microbiology. Recurrent topics in Victor A. Terentiev's work include Computational Drug Discovery Methods (4 papers), Cancer therapeutics and mechanisms (3 papers) and Antimicrobial Peptides and Activities (2 papers). Victor A. Terentiev is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Cancer therapeutics and mechanisms (3 papers) and Antimicrobial Peptides and Activities (2 papers). Victor A. Terentiev collaborates with scholars based in Russia and Hong Kong. Victor A. Terentiev's co-authors include Yan A. Ivanenkov, Dmitry S. Bezrukov, Bogdan Zagribelnyy, Petrina Kamya, Feng Ren, Alex Zhavoronkov, Alex Aliper, Ilya А. Osterman, Olga А. Dontsova and Ekaterina S. Komarova and has published in prestigious journals such as Proteins Structure Function and Bioinformatics, Bioorganic & Medicinal Chemistry Letters and Frontiers in Chemistry.

In The Last Decade

Victor A. Terentiev

7 papers receiving 35 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victor A. Terentiev Russia	4	27	22	9	8	2	7	40
Rui Yao China	3	26 1.0×	23 1.0×	15 1.7×	4 0.5×	4 2.0×	6	48
Henry O’Donnell United States	3	26 1.0×	19 0.9×	5 0.6×	5 0.6×	3 1.5×	3	47
Clément Vignac Switzerland	2	34 1.3×	32 1.5×	26 2.9×	7 0.9×	4 2.0×	2	71
Gengmo Zhou China	3	10 0.4×	17 0.8×	6 0.7×	4 0.5×		3	20
Tim Dudgeon United Kingdom	4	20 0.7×	12 0.5×	10 1.1×	2 0.3×		5	30
Jacob K. Asiedu United States	3	33 1.2×	16 0.7×	6 0.7×	2 0.3×	2 1.0×	4	60
Bryan Raubenolt United States	4	23 0.9×	10 0.5×	7 0.8×	9 1.1×		6	45
Dmitry Lepikhin United States	2	18 0.7×	21 1.0×	4 0.4×	3 0.4×	4 2.0×	3	30
Anna Carbery United Kingdom	4	49 1.8×	41 1.9×	12 1.3×	9 1.1×	10 5.0×	4	63
J. Harry Moore United Kingdom	4	16 0.6×	20 0.9×	51 5.7×	10 1.3×		4	74

Countries citing papers authored by Victor A. Terentiev

Since Specialization

Citations

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

Fields of papers citing papers by Victor A. Terentiev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor A. Terentiev. 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 Victor A. Terentiev. The network helps show where Victor A. Terentiev may publish in the future.

Co-authorship network of co-authors of Victor A. Terentiev

This figure shows the co-authorship network connecting the top 25 collaborators of Victor A. Terentiev. A scholar is included among the top collaborators of Victor A. Terentiev 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 Victor A. Terentiev. Victor A. Terentiev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Terentiev, Victor A., et al.. (2025). Skittles: GNN ‐Assisted Pseudo‐Ligands Generation and Its Application for Binding Sites Classification and Affinity Prediction. Proteins Structure Function and Bioinformatics. 93(7). 1269–1280. 1 indexed citations

2.

Ivanenkov, Yan A., et al.. (2024). Small molecule ATM inhibitors as potential cancer therapy: a patent review (2003–present). Expert Opinion on Therapeutic Patents. 35(2). 111–136. 1 indexed citations

3.

Ivanenkov, Yan A., Dmitry S. Bezrukov, Victor A. Terentiev, et al.. (2024). Quantum-assisted fragment-based automated structure generator (QFASG) for small molecule design: an in vitro study. Frontiers in Chemistry. 12. 1382512–1382512. 1 indexed citations

4.

Ivanenkov, Yan A., et al.. (2024). AlphaFold for a medicinal chemist: tool or toy?. Russian Chemical Reviews. 93(3). RCR5107–RCR5107. 3 indexed citations

5.

Ivanenkov, Yan A., Bogdan Zagribelnyy, Victor A. Terentiev, et al.. (2023). The Hitchhiker’s Guide to Deep Learning Driven Generative Chemistry. ACS Medicinal Chemistry Letters. 14(7). 901–915. 24 indexed citations

6.

Ivanenkov, Yan A., R. Т. Matniyazov, Andrey Baymiev, et al.. (2021). Antibacterial activity of noscapine analogs. Bioorganic & Medicinal Chemistry Letters. 43. 128055–128055. 5 indexed citations

7.

Ivanenkov, Yan A., Ilya А. Osterman, Ekaterina S. Komarova, et al.. (2018). Tetrahydrocarbazoles as Novel Class of DNA Biosynthesis Inhibitors in Bacteria. Anti-Infective Agents. 18(2). 121–127. 5 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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