Nikolay Borisov

2.1k total citations · 1 hit paper
37 papers, 1.5k citations indexed

About

Nikolay Borisov is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nikolay Borisov has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nikolay Borisov's work include Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (6 papers) and Computational Drug Discovery Methods (5 papers). Nikolay Borisov is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (6 papers) and Computational Drug Discovery Methods (5 papers). Nikolay Borisov collaborates with scholars based in Russia, United States and Germany. Nikolay Borisov's co-authors include Anton Buzdin, Boris Ν. Kholodenko, Andrew Garazha, Maxim Sorokin, Jan B. Hoek, Marianna Zolotovskaia, Denis Kuzmin, Pieter Borger, Anna A. Emelianova and Alex Zhavoronkov and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Nikolay Borisov

32 papers receiving 1.5k citations

Hit Papers

Pathway Based Analysis of Mutation Data Is Efficient for ... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Nikolay Borisov
Nikolay Borisov
Citations per year, relative to Nikolay Borisov Nikolay Borisov (= 1×) peers Federica Conte

Countries citing papers authored by Nikolay Borisov

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Borisov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Borisov

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Borisov. A scholar is included among the top collaborators of Nikolay Borisov 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 Borisov. Nikolay Borisov 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.
Zolotovskaia, Marianna, Maxim Sorokin, S. A. Roumiantsev, Nikolay Borisov, & Anton Buzdin. (2019). Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers. Frontiers in Oncology. 8. 658–658. 22 indexed citations
2.
Zolotovskaia, Marianna, Maxim Sorokin, Andrew Garazha, Nikolay Borisov, & Anton Buzdin. (2019). Molecular Pathway Analysis of Mutation Data for Biomarkers Discovery and Scoring of Target Cancer Drugs. Methods in molecular biology. 2063. 207–234. 9 indexed citations
3.
Zolotovskaia, Marianna, Maxim Sorokin, Anna A. Emelianova, et al.. (2019). Pathway Based Analysis of Mutation Data Is Efficient for Scoring Target Cancer Drugs. Frontiers in Pharmacology. 10. 1–1. 467 indexed citations breakdown →
4.
Buzdin, Anton, Vladimir Prassolov, Alex Zhavoronkov, & Nikolay Borisov. (2017). Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Pathways Using Gene Expression Data. Methods in molecular biology. 1613. 53–83. 23 indexed citations
5.
Aliper, Alexander, Aleksandr Zenin, Larisa Venkova, et al.. (2017). Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS). Methods in molecular biology. 1613. 31–51. 26 indexed citations
6.
Ozerov, Ivan V., Ksenia Lezhnina, Evgeny Izumchenko, et al.. (2016). In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development. Nature Communications. 7(1). 13427–13427. 93 indexed citations
7.
Buzdin, Anton, Maria Suntsova, Andrew Garazha, et al.. (2016). Early stage of cytomegalovirus infection suppresses host microRNA expression regulation in human fibroblasts. Cell Cycle. 15(24). 3378–3389. 12 indexed citations
8.
Korzinkin, Mikhail, Maxim Sorokin, Peter Shegay, et al.. (2016). MiRImpact, a new bioinformatic method using complete microRNA expression profiles to assess their overall influence on the activity of intracellular molecular pathways. Cell Cycle. 15(5). 689–698. 19 indexed citations
9.
Buzdin, Anton, Alex Zhavoronkov, Mikhail Korzinkin, et al.. (2014). Oncofinder, a new method for the analysis of intracellular signaling pathway activation using transcriptomic data. Frontiers in Genetics. 5. 55–55. 70 indexed citations
10.
Spirin, Pavel, Timofey Lebedev, M. M. Prokofjeva, et al.. (2014). Silencing AML1-ETO gene expression leads to simultaneous activation of both pro-apoptotic and proliferation signaling. Leukemia. 28(11). 2222–2228. 56 indexed citations
11.
Zhavoronkov, Alex, Anton Buzdin, Andrew Garazha, Nikolay Borisov, & Alexey Moskalev. (2014). Signaling pathway cloud regulation for in silico screening and ranking of the potential geroprotective drugs. Frontiers in Genetics. 5. 49–49. 36 indexed citations
12.
Buzdin, Anton, Alex Zhavoronkov, Mikhail Korzinkin, et al.. (2014). The OncoFinder algorithm for minimizing the errors introduced by the high-throughput methods of transcriptome analysis. Frontiers in Molecular Biosciences. 1. 8–8. 45 indexed citations
13.
Borisov, Nikolay, Nadezhda V. Terekhanova, Alexander Aliper, et al.. (2014). Signaling pathways activation profiles make better markers of cancer than expression of individual genes. Oncotarget. 5(20). 10198–10205. 60 indexed citations
14.
Borisov, Nikolay, et al.. (2013). Interactive Multimedia Solutions Developed for the Opening of the New Stage of the Alexandrinsky Theatre. SHILAP Revista de lepidopterología. 3. 153–160.
15.
Borisov, Nikolay, Edita Aksamitiene, Anatoly Kiyatkin, et al.. (2009). Systems‐level interactions between insulin–EGF networks amplify mitogenic signaling. Molecular Systems Biology. 5(1). 256–256. 158 indexed citations
16.
Borisov, Nikolay, et al.. (2008). Domain-oriented reduction of rule-based network models. IET Systems Biology. 2(5). 342–351. 34 indexed citations
17.
Kiyatkin, Anatoly, et al.. (2006). Scaffolding Protein Grb2-associated Binder 1 Sustains Epidermal Growth Factor-induced Mitogenic and Survival Signaling by Multiple Positive Feedback Loops. Journal of Biological Chemistry. 281(29). 19925–19938. 143 indexed citations
18.
Borisov, Nikolay, et al.. (2005). Signaling through Receptors and Scaffolds: Independent Interactions Reduce Combinatorial Complexity. Biophysical Journal. 89(2). 951–966. 73 indexed citations
19.
Borisov, Nikolay, et al.. (2005). Trading the micro-world of combinatorial complexity for the macro-world of protein interaction domains. Biosystems. 83(2-3). 152–166. 33 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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