Ilya Solovev

406 total citations
25 papers, 225 citations indexed

About

Ilya Solovev is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Ilya Solovev has authored 25 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aging, 6 papers in Molecular Biology and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in Ilya Solovev's work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Circadian rhythm and melatonin (6 papers) and Epigenetics and DNA Methylation (2 papers). Ilya Solovev is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (12 papers), Circadian rhythm and melatonin (6 papers) and Epigenetics and DNA Methylation (2 papers). Ilya Solovev collaborates with scholars based in Russia, Australia and Latvia. Ilya Solovev's co-authors include Alexey Moskalev, Mikhail Shaposhnikov, Ekaterina Proshkina, Liubov Koval, Nadezhda Zemskaya, Anna V. Kudryavtseva, George S. Krasnov, Zulfiya G. Guvatova, Alex Zhavoronkov and Maria V. Vedunova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ilya Solovev

19 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilya Solovev Russia 8 81 69 44 34 31 25 225
Ting Lian China 10 122 1.5× 81 1.2× 39 0.9× 35 1.0× 25 0.8× 17 294
Mara Laslo United States 10 114 1.4× 114 1.7× 52 1.2× 52 1.5× 21 0.7× 15 339
Paula Juricic Germany 3 78 1.0× 98 1.4× 72 1.6× 53 1.6× 50 1.6× 5 254
Jianbo Na United States 3 104 1.3× 100 1.4× 38 0.9× 128 3.8× 19 0.6× 3 308
Margret H. Bülow Germany 9 217 2.7× 36 0.5× 57 1.3× 45 1.3× 12 0.4× 17 363
Jakob von Frieling Germany 7 72 0.9× 39 0.6× 36 0.8× 37 1.1× 15 0.5× 14 169
Gunasekaran Singaravelu United States 13 148 1.8× 193 2.8× 75 1.7× 17 0.5× 51 1.6× 24 388
Nikhil Bhatla United States 6 96 1.2× 183 2.7× 47 1.1× 56 1.6× 118 3.8× 7 303
Debabrata Das India 11 109 1.3× 56 0.8× 16 0.4× 45 1.3× 15 0.5× 16 389
Jacqueline Graniel United States 5 150 1.9× 133 1.9× 77 1.8× 52 1.5× 34 1.1× 7 325

Countries citing papers authored by Ilya Solovev

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Solovev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Solovev

This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Solovev. A scholar is included among the top collaborators of Ilya Solovev 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 Ilya Solovev. Ilya Solovev 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.
Solovev, Ilya, et al.. (2024). Artificial intelligence applications in cardiology: a review. SHILAP Revista de lepidopterología. 29(11S). 5673–5673. 1 indexed citations
2.
Solovev, Ilya, et al.. (2024). Chronobiotics: classifications of existing circadian clock modulators, future perspectives. Biomeditsinskaya Khimiya. 70(6). 381–393. 1 indexed citations
3.
Solovev, Ilya. (2024). Artificial intelligence in pathological anatomy. Russian Journal of Archive of Pathology. 86(2). 65–65.
4.
Solovev, Ilya, et al.. (2024). Aging and physiological barriers: mechanisms of barrier integrity changes and implications for age-related diseases. Molecular Biology Reports. 51(1). 917–917. 7 indexed citations
5.
Proshkina, Ekaterina, et al.. (2023). <i>Drosophila melanogaster</i> Lifespan Is Regulated by <i>nejire</i> Gene Expression in Peripheral Tissues and Nervous System. Молекулярная биология. 57(5). 833–852.
6.
Koval, Liubov, Ekaterina Proshkina, Nadezhda Zemskaya, et al.. (2023). Drosophila melanogaster Lifespan Is Regulated by nejire Gene Expression in Peripheral Tissues and Nervous System. Molecular Biology. 57(5). 848–866. 1 indexed citations
7.
Shaposhnikov, Mikhail, Zulfiya G. Guvatova, Nadezhda Zemskaya, et al.. (2022). Molecular mechanisms of exceptional lifespan increase of Drosophila melanogaster with different genotypes after combinations of pro-longevity interventions. Communications Biology. 5(1). 566–566. 14 indexed citations
8.
Proshkina, Ekaterina, Liubov Koval, Nadezhda Zemskaya, et al.. (2021). Tissue-Specific Knockdown of Genes of the Argonaute Family Modulates Lifespan and Radioresistance in Drosophila melanogaster. International Journal of Molecular Sciences. 22(5). 2396–2396. 5 indexed citations
9.
Proshkina, Ekaterina, Ilya Solovev, Liubov Koval, & Alexey Moskalev. (2020). The critical impacts of small RNA biogenesis proteins on aging, longevity and age-related diseases. Ageing Research Reviews. 62. 101087–101087. 18 indexed citations
10.
Proshkina, Ekaterina, Ilya Solovev, Mikhail Shaposhnikov, & Alexey Moskalev. (2020). Key Molecular Mechanisms of Aging, Biomarkers, and Potential Interventions. Molecular Biology. 54(6). 777–811. 17 indexed citations
11.
Moskalev, Alexey, Mikhail Shaposhnikov, Nadezhda Zemskaya, et al.. (2019). Transcriptome Analysis of Long-lived Drosophila melanogaster E(z) Mutants Sheds Light on the Molecular Mechanisms of Longevity. Scientific Reports. 9(1). 9151–9151. 21 indexed citations
12.
Solovev, Ilya, et al.. (2019). RISC FACTORS OF COLORECTAL ANASTOMOTIC FAILURE AND METHODS OF ANASTOMOTIC LEAKAGE PREVENTION. Bulletin of Pirogov National Medical & Surgical Center. 14(1). 125–133.
13.
Solovev, Ilya, Mikhail Shaposhnikov, & Alexey Moskalev. (2019). Multi-omics approaches to human biological age estimation. Mechanisms of Ageing and Development. 185. 111192–111192. 31 indexed citations
14.
Solovev, Ilya, et al.. (2019). Aging as a complex of typical pathophysiological processes. Medical news of the North Caucasus. 14(1). 1 indexed citations
15.
Solovev, Ilya, et al.. (2018). Surgical treatment of complications of Crohn’s disease. Bulletin of the Russian Military Medical Academy. 20(1). 111–116. 1 indexed citations
16.
Solovev, Ilya, et al.. (2018). Circadian clock genes’ overexpression in Drosophila alters diet impact on lifespan. Biogerontology. 20(2). 159–170. 12 indexed citations
17.
Solovev, Ilya, et al.. (2018). Neuron-specific overexpression of core clock genes improves stress-resistance and extends lifespan of Drosophila melanogaster. Experimental Gerontology. 117. 61–71. 13 indexed citations
18.
Solovev, Ilya, et al.. (2018). Evolution of enhanced recovery after surgery: from the beginning of the study of stress to the introduction in emergency surgery. Pirogov Russian Journal of Surgery. 71–71. 2 indexed citations
19.
Moskalev, Alexey, Mikhail Shaposhnikov, & Ilya Solovev. (2017). Studying the geroprotective effects of inhibitors suppressing aging -associated signaling cascades in model organisms. Medical news of the North Caucasus. 12(3). 5 indexed citations
20.

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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