Valery Ilinsky

1.8k total citations
29 papers, 260 citations indexed

About

Valery Ilinsky is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Valery Ilinsky has authored 29 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 12 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Valery Ilinsky's work include Genetic Associations and Epidemiology (5 papers), Cancer Genomics and Diagnostics (3 papers) and Mental Health Research Topics (3 papers). Valery Ilinsky is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Cancer Genomics and Diagnostics (3 papers) and Mental Health Research Topics (3 papers). Valery Ilinsky collaborates with scholars based in Russia, United States and United Kingdom. Valery Ilinsky's co-authors include Tatiana A Gurbich, D. Yu. Trofimov, Dmitriy Korostin, Alexander Tonevitsky, Denis Rebrikov, Evgeny Vasilyev, Iaroslav Popov, Alexander Rakitko, Evgeniy O. Kiktenko and Aleksey K. Fedorov and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecular Cancer.

In The Last Decade

Valery Ilinsky

24 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Valery Ilinsky Russia	7	95	88	65	37	31	29	260
Ingeborg J. McCright United States	11	314 3.3×	75 0.9×	46 0.7×	33 0.9×	11 0.4×	13	472
Francisco Javier Estrada-Mena Mexico	11	104 1.1×	124 1.4×	16 0.2×	17 0.5×	3 0.1×	28	332
Pascal Notin United Kingdom	5	390 4.1×	179 2.0×	6 0.1×	60 1.6×	31 1.0×	7	603
Jason E. Aten United States	7	352 3.7×	186 2.1×	20 0.3×	5 0.1×	7 0.2×	8	521
Fariza Tahi France	13	391 4.1×	31 0.4×	8 0.1×	26 0.7×	11 0.4×	35	502
Nimit Jain United States	7	202 2.1×	45 0.5×	12 0.2×	35 0.9×	2 0.1×	16	404
Kehui Xiang United States	13	588 6.2×	54 0.6×	10 0.2×	33 0.9×	4 0.1×	21	751
Ban Wang United States	8	316 3.3×	57 0.6×	12 0.2×	31 0.8×	2 0.1×	12	420

Countries citing papers authored by Valery Ilinsky

Since Specialization

Citations

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

Fields of papers citing papers by Valery Ilinsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valery Ilinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Valery Ilinsky. A scholar is included among the top collaborators of Valery Ilinsky 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 Valery Ilinsky. Valery Ilinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kim, Anna, et al.. (2025). Deep learning captures the effect of epistasis in multifactorial diseases. Frontiers in Medicine. 11. 1479717–1479717. 3 indexed citations

Кибитов, А.О., Alexander Rakitko, E. D. Kasyanov, et al.. (2024). Online phenotypes of depression symptoms are associated with polygenic risk scores of somatic diseases in a population-based cohort. S S Korsakov Journal of Neurology and Psychiatry. 124(11). 122–122.

Kovalenko, Elena, Nikolay Plotnikov, Н. В. Боровкова, et al.. (2024). GWAS and polygenic risk score of severe COVID-19 in Eastern Europe. Frontiers in Medicine. 11. 1409714–1409714. 2 indexed citations

Kiseleva, Olga I., Mikhail A. Pyatnitskiy, Viktoriia A. Arzumanian, et al.. (2024). Multiomics Picture of Obesity in Young Adults. Biology. 13(4). 272–272. 1 indexed citations

Danilov, Sergei M., Pavel A. Petukhov, Valery Ilinsky, et al.. (2023). Blood ACE Phenotyping for Personalized Medicine: Revelation of Patients with Conformationally Altered ACE. Biomedicines. 11(2). 534–534. 4 indexed citations

Kasyanov, E. D., Alexander Rakitko, Danat Yermakovich, et al.. (2023). Anhedonia in mood disorders and somatic diseases: results of exploratory Mendelian randomization analysis. S S Korsakov Journal of Neurology and Psychiatry. 123(4). 65–65. 3 indexed citations

Kovalenko, Elena, et al.. (2023). Lactase deficiency in Russia: multiethnic genetic study. European Journal of Clinical Nutrition. 77(8). 803–810. 3 indexed citations

Рукавишников, Г. В., Alexander Rakitko, E. D. Kasyanov, et al.. (2023). Association of depression and anxiety with somatic diseases: negative lifestyle factors impact. S S Korsakov Journal of Neurology and Psychiatry. 123(4). 74–74.

Yermakovich, Danat, E. D. Kasyanov, Г. В. Рукавишников, et al.. (2023). GWAS of depression in 4,520 individuals from the Russian population highlights the role of MAGI2 (S-SCAM) in the gut-brain axis. Frontiers in Genetics. 13. 972196–972196. 6 indexed citations

10.

Ilinsky, Valery, et al.. (2023). A case of Joubert syndrome caused by novel compound heterozygous variants in the TMEM67 gene. Journal of International Medical Research. 51(10). 3639267222–3639267222. 2 indexed citations

11.

Borisevich, Dmitrii, Theresia M. Schnurr, Line Engelbrechtsen, et al.. (2021). Non-linear interaction between physical activity and polygenic risk score of body mass index in Danish and Russian populations. PLoS ONE. 16(10). e0258748–e0258748. 3 indexed citations

12.

Rakitko, Alexander, et al.. (2021). Genome assembly using quantum and quantum-inspired annealing. Scientific Reports. 11(1). 13183–13183. 36 indexed citations

13.

Gurbich, Tatiana A & Valery Ilinsky. (2020). ClassifyCNV: a tool for clinical annotation of copy-number variants. Scientific Reports. 10(1). 20375–20375. 43 indexed citations

14.

Стеценко, И.Ф., et al.. (2020). Two novel PCDH19 mutations in Russian patients with epilepsy with intellectual disability limited to females: a case report. BMC Medical Genetics. 21(1). 209–209. 3 indexed citations

15.

Krasnenko, Anna, et al.. (2019). A novel elastin gene frameshift mutation in a Russian family with cutis laxa: a case report. BMC Dermatology. 19(1). 4–4. 3 indexed citations

16.

Ilinsky, Valery, et al.. (2019). THE EXPERIENCE OF USING ELIZARIA FOR ATYPICAL HEMOLYTIC UREMIC SYNDROME. PEDIATRIA Journal named after G N SPERANSKY. 98(5). 225–229. 3 indexed citations

17.

Ilinsky, Valery, et al.. (2018). The genetic characteristics of adult patients with atypical hemolytic uremic syndrome in Russia. 20(1). 41–47.

18.

Ilinsky, Valery, et al.. (2018). Future directions in genome-wide association studies of schizophrenia spectrum disorders. Research Repository Saint Petersburg State University (Saint Petersburg State University). 13(1). 72–82. 1 indexed citations

19.

Vasilyev, Evgeny, D. Yu. Trofimov, Alexander Tonevitsky, et al.. (2009). Torque Teno Virus (TTV) distribution in healthy Russian population. Virology Journal. 6(1). 134–134. 78 indexed citations

20.

Menigatti, Mirco, Elisa Cattaneo, Jacob Sabates–Bellver, et al.. (2009). The protein tyrosine phosphatase receptor type R gene is an early and frequent target of silencing in human colorectal tumorigenesis. Molecular Cancer. 8(1). 124–124. 30 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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