N. N. Kolesnikov

3.3k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

N. N. Kolesnikov is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, N. N. Kolesnikov has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in N. N. Kolesnikov's work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers) and Chromosomal and Genetic Variations (4 papers). N. N. Kolesnikov is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers) and Chromosomal and Genetic Variations (4 papers). N. N. Kolesnikov collaborates with scholars based in Russia, United Kingdom and United States. N. N. Kolesnikov's co-authors include Alvis Brāzma, Helen Parkinson, Eugeny A. Elisaphenko, Misha Kapushesky, James Malone, Jie Zheng, Tomasz Adamusiak, Ele Holloway, Anna Zhukova and Suren M. Zakian and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

N. N. Kolesnikov

26 papers receiving 1.4k citations

Hit Papers

ArrayExpress update—simplifying data submissions 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. N. Kolesnikov Russia 13 1.1k 401 253 136 98 26 1.4k
Misha Kapushesky United Kingdom 17 1.4k 1.3× 175 0.4× 219 0.9× 95 0.7× 142 1.4× 24 1.8k
Margus Lukk United Kingdom 13 1.2k 1.1× 228 0.6× 273 1.1× 183 1.3× 41 0.4× 17 1.6k
Guðmundur Á. Þórisson United Kingdom 13 951 0.8× 129 0.3× 542 2.1× 86 0.6× 54 0.6× 22 1.6k
Fedor Kolpakov Russia 18 1.4k 1.3× 242 0.6× 251 1.0× 70 0.5× 25 0.3× 75 1.9k
Eugene Kulesha United Kingdom 13 1.4k 1.2× 131 0.3× 432 1.7× 169 1.2× 43 0.4× 13 1.8k
Eleanor Williams United Kingdom 11 1.4k 1.2× 236 0.6× 361 1.4× 349 2.6× 67 0.7× 16 1.9k
Michael Mittmann United States 4 2.6k 2.3× 202 0.5× 364 1.4× 173 1.3× 60 0.6× 4 3.1k
Arek Kasprzyk United Kingdom 8 1.2k 1.0× 193 0.5× 352 1.4× 124 0.9× 38 0.4× 10 1.6k
Gabriella Rustici United Kingdom 16 1.5k 1.3× 135 0.3× 143 0.6× 204 1.5× 102 1.0× 26 1.9k
G. Thomas Hayman United States 23 984 0.9× 87 0.2× 293 1.2× 209 1.5× 48 0.5× 53 1.4k

Countries citing papers authored by N. N. Kolesnikov

Since Specialization
Citations

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

Fields of papers citing papers by N. N. Kolesnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. N. Kolesnikov

This figure shows the co-authorship network connecting the top 25 collaborators of N. N. Kolesnikov. A scholar is included among the top collaborators of N. N. Kolesnikov 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 N. N. Kolesnikov. N. N. Kolesnikov 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.
Ivanov, Mikhail, С. Е. Титов, Anastasia Malek, et al.. (2018). Detection of high-grade neoplasia in air-dried cervical PAP smears by a microRNA-based classifier. Oncology Reports. 39(3). 1099–1111. 12 indexed citations
3.
Samsonov, R. B., Tatiana Shtam, Mikhail Ivanov, et al.. (2017). EVALUATION OF EXPRESSION OF 4 MIRNAS IN CYTOLOGICAL SAMPLES AS AN ADDITIONAL METHOD OF CERVICAL CANCER DIAGNOSIS. Tumors of female reproductive system. 13(3). 63–72. 3 indexed citations
4.
Samsonov, R. B., Vladimir Burdakov, Tatiana Shtam, et al.. (2017). ANALYSIS OF A MIRNA SET (MIR-21, -181A, AND -146A) AS A METHOD OF DIFFERENTIAL DIAGNOSIS OF THYROID NODULES. Head and neck tumors (HNT). 7(2). 16–24. 1 indexed citations
5.
Титов, С. Е., et al.. (2017). Studying the MicroRNA role as a survival predictor and revealing its part in malignancy level determination in patients with supratentorial gliomas of brain. AIP conference proceedings. 1882. 20073–20073. 1 indexed citations
6.
Boldyreva, Lidiya V., Olga V. Demakova, V. G. Levitsky, et al.. (2016). Protein and Genetic Composition of Four Chromatin Types in Drosophila melanogaster Cell Lines. Current Genomics. 18(2). 214–226. 14 indexed citations
7.
8.
Samsonov, R. B., Vladimir Burdakov, Tatiana Shtam, et al.. (2016). Plasma exosomal miR-21 and miR-181a differentiates follicular from papillary thyroid cancer. Tumor Biology. 37(9). 12011–12021. 95 indexed citations
10.
Титов, С. Е., П. С. Деменков, Mikhail Ivanov, et al.. (2016). Selection and validation of miRNAs as normalizers for profiling expression of microRNAs isolated from thyroid fine needle aspiration smears. Oncology Reports. 36(5). 2501–2510. 15 indexed citations
11.
Kolesnikov, N. N., et al.. (2016). Expression of micrornas in molecular genetic breast cancer subtypes. Cancer Treatment and Research Communications. 20. 100026–100026. 9 indexed citations
12.
Титов, С. Е., et al.. (2016). MicroRNA profiling in the malignant progression of gliomas. AIP conference proceedings. 1760. 20065–20065. 2 indexed citations
13.
Kolesnikov, N. N., Emma Hastings, Maria Keays, et al.. (2014). ArrayExpress update—simplifying data submissions. Nucleic Acids Research. 43(D1). D1113–D1116. 509 indexed citations breakdown →
14.
Kudryavtseva, N. N., Е. В. Мельникова, М. В. Тендитник, et al.. (2011). Cell Cycle Arrest in the Thymus and Spleen in Male Mice under Conditions of Chronic Social Defeat Stress: Effects of Diazepam. Bulletin of Experimental Biology and Medicine. 151(4). 411–414. 5 indexed citations
15.
Kolesnikov, N. N. & Eugeny A. Elisaphenko. (2010). Exon-intron structure of the Xist gene in elephant, armadillo, and the ancestor of placental mammals. Russian Journal of Genetics. 46(10). 1217–1222. 1 indexed citations
16.
Elisaphenko, Eugeny A., N. N. Kolesnikov, Alexander I. Shevchenko, et al.. (2008). A Dual Origin of the Xist Gene from a Protein-Coding Gene and a Set of Transposable Elements. PLoS ONE. 3(6). e2521–e2521. 138 indexed citations
17.
Nesterova, Tatyana B., Eugeny A. Elisaphenko, Alexander I. Shevchenko, et al.. (2001). Characterization of the Genomic Xist Locus in Rodents Reveals Conservation of Overall Gene Structure and Tandem Repeats but Rapid Evolution of Unique Sequence. Genome Research. 11(5). 833–849. 157 indexed citations
18.
Blinov, A. G., Yuri Sobanov, Elena K. Gaidamakova, et al.. (1991). MEC: A transposable element from Chironomus thummi (Diptera). Molecular and General Genetics MGG. 229(1). 152–154. 8 indexed citations
19.
Богачев, С. С., A. G. Blinov, N. N. Kolesnikov, et al.. (1990). A tissue-specific puff (Balbiani ring a) in Chironomus thummi may contain a gene encoding a 67-kDa protein which exhibits non-tissue-specific expression. Gene. 96(2). 241–247. 4 indexed citations
20.
Kolesnikov, N. N., et al.. (1981). Cell-specific synthesis and glycosylation of secretory proteins in larval salivary glands of Chironomus thummi. Chromosoma. 83(5). 661–677. 17 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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