Nicolas Borisov

1.2k total citations
31 papers, 659 citations indexed

About

Nicolas Borisov is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Nicolas Borisov has authored 31 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Computational Theory and Mathematics. Recurrent topics in Nicolas Borisov's work include Bioinformatics and Genomic Networks (18 papers), Gene expression and cancer classification (12 papers) and Computational Drug Discovery Methods (8 papers). Nicolas Borisov is often cited by papers focused on Bioinformatics and Genomic Networks (18 papers), Gene expression and cancer classification (12 papers) and Computational Drug Discovery Methods (8 papers). Nicolas Borisov collaborates with scholars based in Russia, United States and Belgium. Nicolas Borisov's co-authors include Anton Buzdin, Maxim Sorokin, Andrew Garazha, Victor Tkachev, Alex Zhavoronkov, Maria Suntsova, Marianna Zolotovskaia, Alexander Aliper, Ilya Muchnik and Нуршат Гайфуллин and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Nicolas Borisov

30 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Borisov Russia 18 404 182 128 96 71 31 659
Beste Turanlı Türkiye 16 500 1.2× 141 0.8× 138 1.1× 107 1.1× 133 1.9× 33 737
Esra Göv Türkiye 14 536 1.3× 175 1.0× 138 1.1× 83 0.9× 108 1.5× 38 790
Vidula Sukhatme United States 8 353 0.9× 123 0.7× 73 0.6× 190 2.0× 125 1.8× 17 751
Minjae Yoo United States 11 324 0.8× 97 0.5× 135 1.1× 107 1.1× 96 1.4× 14 634
Xiang Zhuang China 13 441 1.1× 146 0.8× 68 0.5× 54 0.6× 109 1.5× 37 753
Aparna Gorthi United States 13 548 1.4× 129 0.7× 99 0.8× 147 1.5× 96 1.4× 23 754
Laleh Soltan Ghoraie Canada 9 424 1.0× 74 0.4× 103 0.8× 83 0.9× 208 2.9× 15 662
M-H. Tan Singapore 3 338 0.8× 113 0.6× 317 2.5× 137 1.4× 43 0.6× 6 703
Reid T. Powell United States 12 604 1.5× 174 1.0× 81 0.6× 157 1.6× 21 0.3× 38 949
Hans de Bont Netherlands 13 368 0.9× 125 0.7× 48 0.4× 170 1.8× 43 0.6× 16 700

Countries citing papers authored by Nicolas Borisov

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Borisov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Borisov

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Borisov. A scholar is included among the top collaborators of Nicolas 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 Nicolas Borisov. Nicolas 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.
2.
Borisov, Nicolas, Victor Tkachev, Maxim Sorokin, et al.. (2023). Uniformly shaped harmonization combines human transcriptomic data from different platforms while retaining their biological properties and differential gene expression patterns. Frontiers in Molecular Biosciences. 10. 1237129–1237129. 1 indexed citations
3.
Acharya, Arbind, et al.. (2022). FNC: An Advanced Anticancer Therapeutic or Just an Underdog?. Frontiers in Oncology. 12. 820647–820647. 9 indexed citations
4.
Nikitin, Daniil, Nicolas Borisov, Marina Sekacheva, et al.. (2022). Gene Expression-Based Signature Can Predict Sorafenib Response in Kidney Cancer. Frontiers in Molecular Biosciences. 9. 753318–753318. 6 indexed citations
5.
Zolotovskaia, Marianna, Ye Wang, Marina Sekacheva, et al.. (2022). OncoboxPD: human 51 672 molecular pathways database with tools for activity calculating and visualization. Computational and Structural Biotechnology Journal. 20. 2280–2291. 27 indexed citations
6.
Sorokin, Maxim, Nicolas Borisov, Denis Kuzmin, et al.. (2021). Algorithmic Annotation of Functional Roles for Components of 3,044 Human Molecular Pathways. Frontiers in Genetics. 12. 617059–617059. 38 indexed citations
7.
Buzdin, Anton, Victor Tkachev, Marianna Zolotovskaia, et al.. (2021). Using proteomic and transcriptomic data to assess activation of intracellular molecular pathways. Advances in protein chemistry and structural biology. 127. 1–53. 17 indexed citations
8.
Borisov, Nicolas, Anna Sergeeva, Maria Suntsova, et al.. (2021). Machine Learning Applicability for Classification of PAD/VCD Chemotherapy Response Using 53 Multiple Myeloma RNA Sequencing Profiles. Frontiers in Oncology. 11. 652063–652063. 21 indexed citations
9.
Borisov, Nicolas, et al.. (2020). System, Method and Software for Calculation of a Cannabis Drug Efficiency Index for the Reduction of Inflammation. International Journal of Molecular Sciences. 22(1). 388–388. 3 indexed citations
10.
Borisov, Nicolas, Maxim Sorokin, Victor Tkachev, Andrew Garazha, & Anton Buzdin. (2020). Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments. BMC Medical Genomics. 13(S8). 111–111. 22 indexed citations
11.
Tkachev, Victor, et al.. (2020). Flexible Data Trimming Improves Performance of Global Machine Learning Methods in Omics-Based Personalized Oncology. International Journal of Molecular Sciences. 21(3). 713–713. 18 indexed citations
12.
Tkachev, Victor, Maxim Sorokin, Andrew Garazha, et al.. (2019). FLOating-Window Projective Separator (FloWPS): A Data Trimming Tool for Support Vector Machines (SVM) to Improve Robustness of the Classifier. Frontiers in Genetics. 9. 717–717. 17 indexed citations
13.
Borisov, Nicolas & Anton Buzdin. (2019). New Paradigm of Machine Learning (ML) in Personalized Oncology: Data Trimming for Squeezing More Biomarkers From Clinical Datasets. Frontiers in Oncology. 9. 658–658. 18 indexed citations
14.
Tkachev, Victor, Maxim Sorokin, Andrew Garazha, Nicolas Borisov, & Anton Buzdin. (2019). Oncobox Method for Scoring Efficiencies of Anticancer Drugs Based on Gene Expression Data. Methods in molecular biology. 2063. 235–255. 23 indexed citations
15.
Borisov, Nicolas, Victor Tkachev, Maxim Sorokin, et al.. (2019). Shambhala: a platform-agnostic data harmonizer for gene expression data. BMC Bioinformatics. 20(1). 66–66. 23 indexed citations
16.
Borisov, Nicolas, Maxim Sorokin, Andrew Garazha, & Anton Buzdin. (2019). Quantitation of Molecular Pathway Activation Using RNA Sequencing Data. Methods in molecular biology. 2063. 189–206. 48 indexed citations
17.
Buzdin, Anton, Maxim Sorokin, Andrew Garazha, et al.. (2018). Molecular pathway activation – New type of biomarkers for tumor morphology and personalized selection of target drugs. Seminars in Cancer Biology. 53. 110–124. 70 indexed citations
18.
Nikitin, Daniil, Dmitry Penzar, Andrew Garazha, et al.. (2018). Profiling of Human Molecular Pathways Affected by Retrotransposons at the Level of Regulation by Transcription Factor Proteins. Frontiers in Immunology. 9. 30–30. 23 indexed citations
19.
Borisov, Nicolas, Victor Tkachev, Maria Suntsova, et al.. (2017). A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency. Cell Cycle. 17(4). 486–491. 52 indexed citations
20.
Korzinkin, Mikhail, Alexander Aliper, Nicolas Borisov, et al.. (2015). Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human. Oncotarget. 7(1). 656–670. 29 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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