Yuri Nikolsky

24.4k total citations
55 papers, 3.6k citations indexed

About

Yuri Nikolsky is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Yuri Nikolsky has authored 55 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 20 papers in Computational Theory and Mathematics and 7 papers in Oncology. Recurrent topics in Yuri Nikolsky's work include Computational Drug Discovery Methods (20 papers), Bioinformatics and Genomic Networks (19 papers) and Gene expression and cancer classification (11 papers). Yuri Nikolsky is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Bioinformatics and Genomic Networks (19 papers) and Gene expression and cancer classification (11 papers). Yuri Nikolsky collaborates with scholars based in United States, Russia and Switzerland. Yuri Nikolsky's co-authors include Tatiana Nikolskaya, Andrej Bugrim, Sean Ekins, Eugene Kirillov, David Lydall, Douglas K. Bishop, Ted Weinert, Marina Bessarabova, Kornélia Polyák and Eugene A. Rakhmatulin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yuri Nikolsky

55 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuri Nikolsky United States 34 2.3k 633 622 595 331 55 3.6k
Tatiana Nikolskaya United States 29 1.7k 0.8× 531 0.8× 507 0.8× 454 0.8× 253 0.8× 53 2.8k
Irene C. Blat United States 4 2.8k 1.3× 1.2k 1.8× 469 0.8× 508 0.9× 259 0.8× 4 3.9k
Bridget K. Wagner United States 34 3.6k 1.6× 553 0.9× 608 1.0× 747 1.3× 746 2.3× 83 5.7k
Curtis T. Keith United States 9 3.8k 1.7× 714 1.1× 886 1.4× 363 0.6× 216 0.7× 11 5.1k
Joshua W. Modell United States 13 3.5k 1.5× 1.2k 1.8× 422 0.7× 491 0.8× 557 1.7× 16 4.6k
Tieliu Shi China 32 3.4k 1.5× 356 0.6× 434 0.7× 718 1.2× 594 1.8× 150 4.9k
Marc Legeay France 3 3.3k 1.4× 379 0.6× 453 0.7× 876 1.5× 461 1.4× 6 5.3k
Michael Höcker Germany 29 2.6k 1.1× 658 1.0× 966 1.6× 438 0.7× 233 0.7× 61 4.3k
Stephan C. Schürer United States 38 2.7k 1.2× 814 1.3× 424 0.7× 247 0.4× 174 0.5× 130 4.5k
Mickaël Guedj France 23 2.2k 1.0× 362 0.6× 342 0.5× 413 0.7× 435 1.3× 54 4.0k

Countries citing papers authored by Yuri Nikolsky

Since Specialization
Citations

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

Fields of papers citing papers by Yuri Nikolsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuri Nikolsky

This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Nikolsky. A scholar is included among the top collaborators of Yuri Nikolsky 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 Yuri Nikolsky. Yuri Nikolsky 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.
Tatarinova, Tatiana V. & Yuri Nikolsky. (2017). Biological Networks and Pathway Analysis. Methods in molecular biology. 3 indexed citations
2.
Marusyk, Andriy, Doris P. Tabassum, Michalina Janiszewska, et al.. (2016). Spatial Proximity to Fibroblasts Impacts Molecular Features and Therapeutic Sensitivity of Breast Cancer Cells Influencing Clinical Outcomes. Cancer Research. 76(22). 6495–6506. 96 indexed citations
3.
Ivliev, Alexander E., Peter A.C. ’t Hoen, Dmitrii Borisevich, Yuri Nikolsky, & Marina G. Sergeeva. (2016). Drug Repositioning through Systematic Mining of Gene Coexpression Networks in Cancer. PLoS ONE. 11(11). e0165059–e0165059. 19 indexed citations
4.
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
5.
Bessarabova, Marina, et al.. (2012). Knowledge-based analysis of proteomics data. BMC Bioinformatics. 13(S16). S13–S13. 72 indexed citations
6.
Monsma, David J., Noel R. Monks, David Cherba, et al.. (2012). Genomic characterization of explant tumorgraft models derived from fresh patient tumor tissue. Journal of Translational Medicine. 10(1). 125–125. 55 indexed citations
7.
Bessarabova, Marina, Weiwei Shi, Kornélia Polyák, et al.. (2011). Functional Synergies yet Distinct Modulators Affected by Genetic Alterations in Common Human Cancers. Cancer Research. 71(10). 3471–3481. 8 indexed citations
8.
Galat, Vasiliy, Sergey Malchenko, Yekaterina Galat, et al.. (2011). A Model of Early Human Embryonic Stem Cell Differentiation Reveals Inter- and Intracellular Changes on Transition to Squamous Epithelium. Stem Cells and Development. 21(8). 1250–1263. 18 indexed citations
9.
Bureeva, Svetlana & Yuri Nikolsky. (2011). Quantitative knowledge-based analysis in compound safety assessment. Expert Opinion on Drug Metabolism & Toxicology. 7(3). 287–298. 6 indexed citations
10.
Maruyama, Reo, Sibgat Choudhury, Adam Kowalczyk, et al.. (2011). Epigenetic Regulation of Cell Type–Specific Expression Patterns in the Human Mammary Epithelium. PLoS Genetics. 7(4). e1001369–e1001369. 80 indexed citations
11.
Popovici, Vlad, Weijie Chen, Brandon D. Gallas, et al.. (2010). Effect of training-sample size and classification difficulty on the accuracy of genomic predictors. Breast Cancer Research. 12(1). R5–R5. 155 indexed citations
12.
Nikolsky, Yuri, et al.. (2009). Protein Networks and Pathway Analysis. Methods in molecular biology. 563. v–vii. 63 indexed citations
13.
Wright, Jerry, Yuri Nikolsky, Tatiana Serebryiskaya, & Diana Wetmore. (2009). MetaMiner (CF): A Disease-Oriented Bioinformatics Analysis Environment. Methods in molecular biology. 563. 353–367. 8 indexed citations
14.
Nikolsky, Yuri, Jun Yao, Damir Dosymbekov, et al.. (2008). Genome-Wide Functional Synergy between Amplified and Mutated Genes in Human Breast Cancer. Cancer Research. 68(22). 9532–9540. 69 indexed citations
15.
Sokolović, Milka, Diederik Wehkamp, Emiel Ver Loren van Themaat, et al.. (2008). The transcriptomic signature of fasting murine liver. BMC Genomics. 9(1). 528–528. 71 indexed citations
16.
Kleemann, Robert, Lars Verschuren, Marjan J. van Erk, et al.. (2007). Increased dietary cholesterol-induced atherosclerosis is associated with liver inflammation: Identification of novel regulatory pathways and transcriptional regulators involved in switch from metabolic adaptation to inflammatory state.. Genome biology. 8. 1 indexed citations
17.
Sokolović, Milka, Diederik Wehkamp, Jacqueline L.M. Vermeulen, et al.. (2007). Fasting induces a biphasic adaptive metabolic response in murine small intestine. BMC Genomics. 8(1). 361–361. 42 indexed citations
18.
Ekins, Sean, Andrej Bugrim, Eugene Kirillov, et al.. (2006). Algorithms for network analysis in systems-ADME/Tox using the MetaCore and MetaDrug platforms. Xenobiotica. 36(10-11). 877–901. 109 indexed citations
19.
Ekins, Sean, Yuri Nikolsky, & Tatiana Nikolskaya. (2005). Techniques: Application of systems biology to absorption, distribution, metabolism, excretion and toxicity. Trends in Pharmacological Sciences. 26(4). 202–209. 119 indexed citations
20.
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

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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