Victor Tkachev

800 citations
32 papers · 420 · h-index 13

Impact in

    • Cancer Genomics and Diagnostics
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • RNA modifications and cancer
    • Molecular Biology Techniques and Applications
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation

Papers in

    • Bioinformatics and Genomic Networks 11
    • Gene expression and cancer classification 10
    • RNA modifications and cancer 5
    • Genomics and Chromatin Dynamics 4
    • RNA and protein synthesis mechanisms 4
    • Cancer Genomics and Diagnostics 7

Victor Tkachev

30 papers receiving 414 citations

Peers

Victor Tkachev
Comparison fields: 5 of 76
  • Cancer Research 113
  • Molecular Biology 278
  • Genetics 28
  • Biological Psychiatry 6
  • Pulmonary and Respiratory Medicine 74
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Victor Tkachev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Victor Tkachev Line = papers co-authored together Victor Tkachev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 201752
3 202026
4 201923
5 201923
6 201823
7 202022
8 202121
9 202018
10 202117
11 201917
12 202112
13 201912
14 201911
15 20109
16 20229
17 20178
18 20178
19 20196
20 20235

About Victor Tkachev

Victor Tkachev is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Computational Theory and Mathematics, having authored 32 papers that have together received 420 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (10 papers), Cancer Genomics and Diagnostics (7 papers), RNA modifications and cancer (5 papers), Computational Drug Discovery Methods (4 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Cancer Research (113 citations), Molecular Biology (278 citations), Genetics (28 citations), Biological Psychiatry (6 citations) and Pulmonary and Respiratory Medicine (74 citations). Victor Tkachev has collaborated with scholars based in Russia, United States and Belgium. Frequent co-authors include Anton Buzdin, Maxim Sorokin, Nicolas Borisov, Andrew Garazha, Maria Suntsova, Daniil Nikitin, Dmitry Penzar, Ilya Muchnik, Olga Kovalchuk and Anna A. Igolkina. Their work appears in journals such as Cells, Journal of Clinical Oncology, Frontiers in Genetics, International Journal of Molecular Sciences and Cancers.

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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