Fedor N. Novikov

1.1k total citations
43 papers, 803 citations indexed

About

Fedor N. Novikov is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Fedor N. Novikov has authored 43 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Organic Chemistry and 11 papers in Computational Theory and Mathematics. Recurrent topics in Fedor N. Novikov's work include Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (11 papers) and PARP inhibition in cancer therapy (5 papers). Fedor N. Novikov is often cited by papers focused on Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (11 papers) and PARP inhibition in cancer therapy (5 papers). Fedor N. Novikov collaborates with scholars based in Russia, Germany and United Kingdom. Fedor N. Novikov's co-authors include Ghermes G. Chilov, Oleg V. Stroganov, Viktor S. Stroylov, Alexey A. Zeifman, Maria V. Panova, Vladimir E. Nebolsin, Polina Rusina, Е. Д. Баздырев, Ivan Grishagin and Michael G. Medvedev and has published in prestigious journals such as Journal of the American Chemical Society, Blood and Scientific Reports.

In The Last Decade

Fedor N. Novikov

42 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fedor N. Novikov Russia 14 348 175 157 111 95 43 803
Federico Falchi Italy 21 669 1.9× 146 0.8× 302 1.9× 143 1.3× 79 0.8× 47 1.2k
Mingyun Shen China 14 687 2.0× 299 1.7× 166 1.1× 110 1.0× 32 0.3× 15 1.0k
Butrus Atrash United Kingdom 18 767 2.2× 114 0.7× 260 1.7× 323 2.9× 58 0.6× 39 1.2k
Ana Negri Spain 18 649 1.9× 116 0.7× 146 0.9× 119 1.1× 47 0.5× 31 1.1k
Grazia Gallo Italy 22 588 1.7× 117 0.7× 281 1.8× 199 1.8× 36 0.4× 29 1.4k
Francesca Blasco Switzerland 14 426 1.2× 82 0.5× 222 1.4× 145 1.3× 70 0.7× 20 897
Lucas Gutiérrez Argentina 15 515 1.5× 125 0.7× 114 0.7× 80 0.7× 265 2.8× 36 829
Tamara Delaine Sweden 15 604 1.7× 66 0.4× 165 1.1× 205 1.8× 151 1.6× 21 1.3k
John C. Widen United States 12 439 1.3× 74 0.4× 318 2.0× 93 0.8× 23 0.2× 16 863
Andriy G. Golub Ukraine 17 401 1.2× 107 0.6× 266 1.7× 72 0.6× 24 0.3× 27 703

Countries citing papers authored by Fedor N. Novikov

Since Specialization
Citations

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

Fields of papers citing papers by Fedor N. Novikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fedor N. Novikov. 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 Fedor N. Novikov. The network helps show where Fedor N. Novikov may publish in the future.

Co-authorship network of co-authors of Fedor N. Novikov

This figure shows the co-authorship network connecting the top 25 collaborators of Fedor N. Novikov. A scholar is included among the top collaborators of Fedor N. Novikov 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 Fedor N. Novikov. Fedor N. Novikov 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.
Turkina, Anna, Elza Lomaia, Ekaterina Chelysheva, et al.. (2025). Phase-1 study of vamotinib (PF-114), a 3rd generation BCR::ABL1 tyrosine kinase-inhibitor, in chronic myeloid leukaemia. Annals of Hematology. 104(5). 2707–2715.
2.
Rusina, Polina, et al.. (2023). Imidazole-4-N-acetamide Derivatives as a Novel Scaffold for Selective Targeting of Cyclin Dependent Kinases. Cancers. 15(15). 3766–3766. 3 indexed citations
3.
Panova, Maria V., et al.. (2023). Quantum Mechanical-Cluster Approach to Solve the Bioisosteric Replacement Problem in Drug Design. Journal of Chemical Information and Modeling. 63(4). 1239–1248. 8 indexed citations
4.
Medvedev, Michael G., Oleg V. Stroganov, Артем О. Дмитриенко, et al.. (2022). Reducing false-positive rates in virtual screening via cancellation of systematic errors in the scoring function. Mendeleev Communications. 32(6). 735–738. 2 indexed citations
5.
Баздырев, Е. Д., et al.. (2022). Efficacy and safety of Treamid in the rehabilitation of patients after COVID-19 pneumonia: a phase 2, randomized, double-blind, placebo-controlled trial. Journal of Translational Medicine. 20(1). 506–506. 4 indexed citations
6.
Skurikhin, Е. G., Vladimir E. Nebolsin, Darius Widera, et al.. (2020). Antifibrotic and Regenerative Effects of Treamid in Pulmonary Fibrosis. International Journal of Molecular Sciences. 21(21). 8380–8380. 11 indexed citations
7.
Stroganov, Oleg V., et al.. (2020). The role of human in the loop: lessons from D3R challenge 4. Journal of Computer-Aided Molecular Design. 34(2). 121–130. 9 indexed citations
8.
Sagnou, Marina, Fedor N. Novikov, Polyxeni Alexiou, et al.. (2020). Novel curcumin derivatives as P-glycoprotein inhibitors: Molecular modeling, synthesis and sensitization of multidrug resistant cells to doxorubicin. European Journal of Medicinal Chemistry. 198. 112331–112331. 41 indexed citations
9.
Stroylov, Viktor S., et al.. (2017). Modeling comparative selectivity profiles of kinase inhibitors using FEP/MD protocol. Mendeleev Communications. 27(4). 349–351. 1 indexed citations
10.
Medvedev, Michael G., Maria V. Panova, Ghermes G. Chilov, et al.. (2017). Exhaustive conformational search for transition states: the case of catechol O -methyltransferase active site. Mendeleev Communications. 27(3). 224–227. 25 indexed citations
11.
Zeifman, Alexey A., et al.. (2015). Modeling of the Diels–Alder reaction enantioselectivity by quantum mechanics and molecular mechanics. Mendeleev Communications. 25(4). 269–270. 5 indexed citations
12.
Zeifman, Alexey A., et al.. (2015). An explicit account of solvation is essential for modeling Suzuki–Miyaura coupling in protic solvents. Dalton Transactions. 44(40). 17795–17799. 5 indexed citations
13.
Mian, Afsar, Anahita Rafiei, Isabella Haberbosch, et al.. (2013). PF-114, a Novel Selective Pan BCR/ABL Inhibitor Targets The T315I and Suppress Models Of Advanced Ph+ ALL. Blood. 122(21). 3907–3907. 3 indexed citations
14.
Zeifman, Alexey A., Fedor N. Novikov, Viktor S. Stroylov, et al.. (2013). 2,3‐Dihydroxy‐quinoxaline induces ATPase activity of Herpes Simplex Virus thymidine kinase. FEBS Letters. 588(3). 509–511. 2 indexed citations
15.
Novikov, Fedor N., et al.. (2012). Identification of phosphorylation sites in aminoglycoside phosphotransferase VIII from Streptomyces rimosus. Biochemistry (Moscow). 77(11). 1258–1265. 9 indexed citations
16.
Zeifman, Alexey A., Viktor S. Stroylov, Fedor N. Novikov, et al.. (2011). Hit clustering can improve virtual fragment screening: CDK2 and PARP1 case studies. Journal of Molecular Modeling. 18(6). 2553–2566. 7 indexed citations
17.
Kaluzhny, Dmitry N., Victor V. Tatarskiy, Lyubov G. Dezhenkova, et al.. (2009). Novel Antitumor L‐Arabinose Derivative of Indolocarbazole with High Affinity to DNA. ChemMedChem. 4(10). 1641–1648. 13 indexed citations
18.
Novikov, Fedor N., et al.. (2009). Developing novel approaches to improve binding energy estimation and virtual screening: a PARP case study. Journal of Molecular Modeling. 15(11). 1337–1347. 15 indexed citations
19.
Novikov, Fedor N., Viktor S. Stroylov, Oleg V. Stroganov, & Ghermes G. Chilov. (2009). Improving performance of docking-based virtual screening by structural filtration. Journal of Molecular Modeling. 16(7). 1223–1230. 20 indexed citations
20.
Novikov, Fedor N. & Ghermes G. Chilov. (2009). Molecular docking: theoretical background, practical applications and perspectives. Mendeleev Communications. 19(5). 237–242. 22 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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