Victor Tkachev

800 total citations
32 papers, 420 citations indexed

About

Victor Tkachev is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Victor Tkachev has authored 32 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Victor Tkachev's work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (10 papers) and Cancer Genomics and Diagnostics (7 papers). Victor Tkachev is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (10 papers) and Cancer Genomics and Diagnostics (7 papers). Victor Tkachev collaborates with scholars based in Russia, United States and Belgium. Victor Tkachev's co-authors include Anton Buzdin, Maxim Sorokin, Nicolas Borisov, Andrew Garazha, Maria Suntsova, Dmitry Penzar, Daniil Nikitin, Ilya Muchnik, Anna A. Igolkina and Olga Kovalchuk and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Victor Tkachev

30 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Tkachev Russia 13 278 113 74 61 33 32 420
Tingting Chen China 14 341 1.2× 252 2.2× 63 0.9× 100 1.6× 9 0.3× 38 523
Partha Mitra Australia 14 449 1.6× 46 0.4× 30 0.4× 105 1.7× 24 0.7× 20 542
Aidi Tan China 6 310 1.1× 129 1.1× 85 1.1× 117 1.9× 6 0.2× 9 507
Binsheng Gong United States 11 483 1.7× 240 2.1× 40 0.5× 41 0.7× 10 0.3× 38 631
Steve Busch United States 8 190 0.7× 46 0.4× 60 0.8× 68 1.1× 18 0.5× 10 354
Berta Martín Spain 9 218 0.8× 92 0.8× 49 0.7× 96 1.6× 10 0.3× 14 328
Nora Bayani United States 6 246 0.9× 52 0.5× 68 0.9× 60 1.0× 21 0.6× 9 312
Yuannv Zhang China 12 382 1.4× 207 1.8× 43 0.6× 62 1.0× 8 0.2× 19 478
Zelmina Lubovac-Pilav Sweden 11 280 1.0× 110 1.0× 30 0.4× 29 0.5× 6 0.2× 27 379
Weiying Li China 11 143 0.5× 106 0.9× 97 1.3× 126 2.1× 4 0.1× 29 363

Countries citing papers authored by Victor Tkachev

Since Specialization
Citations

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

Fields of papers citing papers by Victor Tkachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Tkachev

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Tkachev. A scholar is included among the top collaborators of Victor Tkachev 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 Victor Tkachev. Victor Tkachev 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.
Sorokin, Maxim, Andrew Garazha, Victor Tkachev, et al.. (2025). Prospective trial of the Oncobox platform RNA sequencing bioinformatic analysis for personalized prescription of targeted drugs. Computers in Biology and Medicine. 187. 109716–109716.
2.
Zolotovskaia, Marianna, Maria Suntsova, Г. С. Захарова, et al.. (2024). Bioinformatic and clinical experimental assay uncovers resistance and susceptibility mechanisms of human glioblastomas to temozolomide and identifies new combined and individual survival biomarkers outperforming MGMT promoter methylation. Therapeutic Advances in Medical Oncology. 16. 12737005–12737005. 3 indexed citations
3.
Zolotovskaia, Marianna, et al.. (2024). Number of human protein interactions correlates with structural, but not regulatory conservation of the respective genes. Frontiers in Genetics. 15. 1472638–1472638. 1 indexed citations
4.
Захарова, Г. С., Maria Suntsova, A. Drobyshev, et al.. (2024). A New Approach of Detecting ALK Fusion Oncogenes by RNA Sequencing Exon Coverage Analysis. Cancers. 16(22). 3851–3851. 1 indexed citations
5.
Drobyshev, A., Maria Suntsova, Elena Poddubskaya, et al.. (2024). Pan-cancer experimental characteristic of human transcriptional patterns connected with telomerase reverse transcriptase (TERT) gene expression status. Frontiers in Genetics. 15. 1401100–1401100. 1 indexed citations
6.
Захарова, Г. С., Andrei Alimov, Victor Tkachev, et al.. (2023). Distinct Traits of Structural and Regulatory Evolutional Conservation of Human Genes with Specific Focus on Major Cancer Molecular Pathways. Cells. 12(9). 1299–1299. 1 indexed citations
7.
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
8.
Zolotovskaia, Marianna, Victor Tkachev, Maxim Sorokin, et al.. (2021). Algorithmically Deduced FREM2 Molecular Pathway Is a Potent Grade and Survival Biomarker of Human Gliomas. Cancers. 13(16). 4117–4117. 12 indexed citations
9.
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
10.
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
11.
Tkachev, Victor, et al.. (2020). MODERN CONCEPTS ON THE ROLE OF HYPOXIA IN THE DEVELOPMENT OF TUMOR RADIORESISTANCE. SHILAP Revista de lepidopterología. 19(6). 141–147.
12.
Sorokin, Maxim, Elena Poddubskaya, Daria Allina, et al.. (2020). RNA sequencing profiles and diagnostic signatures linked with response to ramucirumab in gastric cancer. Molecular Case Studies. 6(2). a004945–a004945. 26 indexed citations
13.
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
14.
Garazha, Andrew, Maxim Sorokin, Dmitry Penzar, et al.. (2019). Correction: Nikitin, D., et al. Retroelement—Linked Transcription Factor Binding Patterns Point to Quickly Developing Molecular Pathways in Human Evolution. Cells. 8(8). 130. 2 indexed citations
15.
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
16.
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
17.
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
18.
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.
Tkachev, Victor, et al.. (2010). How many antiviral small interfering RNAs may be encoded by the mammalian genomes?. Biology Direct. 5(1). 62–62. 9 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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