Nikolay Savchuk

1.5k total citations
31 papers, 911 citations indexed

About

Nikolay Savchuk is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Nikolay Savchuk has authored 31 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 16 papers in Molecular Biology and 7 papers in Spectroscopy. Recurrent topics in Nikolay Savchuk's work include Computational Drug Discovery Methods (22 papers), Analytical Chemistry and Chromatography (7 papers) and Chemical Synthesis and Analysis (5 papers). Nikolay Savchuk is often cited by papers focused on Computational Drug Discovery Methods (22 papers), Analytical Chemistry and Chromatography (7 papers) and Chemical Synthesis and Analysis (5 papers). Nikolay Savchuk collaborates with scholars based in United States, Russia and Italy. Nikolay Savchuk's co-authors include Konstantin V. Balakin, Yan A. Ivanenkov, Igor V. Tetko, Andrey A. Ivashchenko, Sean Ekins, Sergey E. Tkachenko, И. В. Плетнев, Yuri Nikolsky, Alex S. Kiselyov and Stanley A. Lang and has published in prestigious journals such as Blood, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Nikolay Savchuk

29 papers receiving 849 citations

Peers

Nikolay Savchuk

CTM

SPECT

Bruno Bienfait United States

Markus Wagener Germany

John Delaney United Kingdom

Maykel Cruz‐Monteagudo Portugal

Oliver Horlacher Switzerland

Steven M. Muskal United States

Edgar Luttmann Germany

Jens Loesel United Kingdom

Christopher N. Luscombe United Kingdom

Jeffrey W. Godden United States

Bruno Bienfait United States

Nikolay Savchuk

504 ×0.9

CTM

639 ×1.4

122 ×0.6

SPECT

122 ×0.8

98 ×0.7

Citations per year, relative to Nikolay Savchuk Nikolay Savchuk (= 1×) peers Bruno Bienfait

Countries citing papers authored by Nikolay Savchuk

Since Specialization

Citations

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

Fields of papers citing papers by Nikolay Savchuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Savchuk

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

All Works

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20 of 20 papers shown

Elgamal, Sara, Megan Johnstone, Jianmin Pan, et al.. (2024). Development of ZE66-0205, a Novel MALT1 Degrader for Treatment of B-Cell Malignancies. Blood. 144(Supplement 1). 2783–2783. 1 indexed citations

Sirimulla, Suman, et al.. (2024). Abstract 3535: Seeking novel therapeutic targets in oncology using machine learning. Cancer Research. 84(6_Supplement). 3535–3535.

Ivashchenko, Andrey A., Bogdan Zagribelnyy, Yan A. Ivanenkov, et al.. (2022). The Efficacy of Aprotinin Combinations with Selected Antiviral Drugs in Mouse Models of Influenza Pneumonia and Coronavirus Infection Caused by SARS-CoV-2. Molecules. 27(15). 4975–4975. 3 indexed citations

Supuran, Claudiu T., et al.. (2021). Biochemical profiling of anti-HIV prodrug Elsulfavirine (Elpida^®) and its active form VM1500A against a panel of twelve human carbonic anhydrase isoforms. Journal of Enzyme Inhibition and Medicinal Chemistry. 36(1). 1056–1060. 6 indexed citations

Revankar, Chetana M., Cristian Bologa, Geetanjali Sharma, et al.. (2019). A Selective Ligand for Estrogen Receptor Proteins Discriminates Rapid and Genomic Signaling. Cell chemical biology. 26(12). 1692–1702.e5. 13 indexed citations

Ivanenkov, Yan A., Nikolay Savchuk, Sean Ekins, & Konstantin V. Balakin. (2009). Computational mapping tools for drug discovery. Drug Discovery Today. 14(15-16). 767–775. 34 indexed citations

Balakin, Konstantin V., Yan A. Ivanenkov, & Nikolay Savchuk. (2009). Compound Library Design for Target Families. Methods in molecular biology. 575. 21–46. 13 indexed citations

Kiselyov, Alex S., Konstantin V. Balakin, Sergey E. Tkachenko, Nikolay Savchuk, & Alexandre V. Ivachtchenko. (2007). Recent Progress in Discovery and Development of Antimitotic Agents. Anti-Cancer Agents in Medicinal Chemistry. 7(2). 189–208. 41 indexed citations

Kiselyov, Alex S., Konstantin V. Balakin, Sergey Tkachenko, & Nikolay Savchuk. (2006). Recent Progress in Development of Non-ATP Competitive Small-Molecule Inhibitors of Protein Kinases. Mini-Reviews in Medicinal Chemistry. 6(6). 711–717. 21 indexed citations

10.

Balakin, Konstantin V., et al.. (2006). Rational Design Approaches to Chemical Libraries for Hit Identification. Current Drug Discovery Technologies. 3(1). 49–65. 9 indexed citations

11.

Ekins, Sean, Konstantin V. Balakin, Nikolay Savchuk, & Yan A. Ivanenkov. (2006). Insights for Human Ether-a-Go-Go-Related Gene Potassium Channel Inhibition Using Recursive Partitioning and Kohonen and Sammon Mapping Techniques. Journal of Medicinal Chemistry. 49(17). 5059–5071. 67 indexed citations

12.

Balakin, Konstantin V., Nikolay Savchuk, & Igor V. Tetko. (2005). In Silico Approaches to Prediction of Aqueous and DMSO Solubility of Drug-Like Compounds: Trends, Problems and Solutions. Current Medicinal Chemistry. 13(2). 223–241. 135 indexed citations

13.

Balakin, Konstantin V., Yan A. Ivanenkov, Nikolay Savchuk, Andrey A. Ivashchenko, & Sean Ekins. (2005). Comprehensive Computational Assessment of ADME Properties Using Mapping Techniques. Current Drug Discovery Technologies. 2(2). 99–113. 32 indexed citations

14.

Balakin, Konstantin V., et al.. (2004). In Silico Estimation of DMSO Solubility of Organic Compounds for Bioscreening. SLAS DISCOVERY. 9(1). 22–31. 38 indexed citations

15.

Savchuk, Nikolay, Konstantin V. Balakin, & Sergey E. Tkachenko. (2004). Exploring the chemogenomic knowledge space with annotated chemical libraries. Current Opinion in Chemical Biology. 8(4). 412–417. 40 indexed citations

16.

Balakin, Konstantin V., Sean Ekins, Yan A. Ivanenkov, et al.. (2004). KOHONEN MAPS FOR PREDICTION OF BINDING TO HUMAN CYTOCHROME P450 3A4. Drug Metabolism and Disposition. 32(10). 1183–1189. 34 indexed citations

17.

Balakin, Konstantin V., Sean Ekins, Yan A. Ivanenkov, et al.. (2004). QUANTITATIVE STRUCTURE-METABOLISM RELATIONSHIP MODELING OF METABOLIC N-DEALKYLATION REACTION RATES. Drug Metabolism and Disposition. 32(10). 1111–1120. 28 indexed citations

18.

Balakin, Konstantin V., et al.. (2003). Drug Discovery Using Support Vector Machines. The Case Studies of Drug-likeness, Agrochemical-likeness, and Enzyme Inhibition Predictions. Journal of Chemical Information and Computer Sciences. 43(6). 2048–2056. 159 indexed citations

19.

Lang, Stanley A., et al.. (2002). Classification scheme for the design of serine protease targeted compound libraries. Journal of Computer-Aided Molecular Design. 16(11). 803–807. 6 indexed citations

20.

Savchuk, Nikolay, et al.. (2002). New Diversity Calculations Algorithms Used for Compound Selection. Journal of Chemical Information and Computer Sciences. 42(2). 249–258. 35 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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