Е.А. Климов

593 total citations
69 papers, 405 citations indexed

About

Е.А. Климов is a scholar working on Molecular Biology, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Е.А. Климов has authored 69 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Psychiatry and Mental health and 12 papers in Genetics. Recurrent topics in Е.А. Климов's work include Migraine and Headache Studies (13 papers), Ubiquitin and proteasome pathways (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). Е.А. Климов is often cited by papers focused on Migraine and Headache Studies (13 papers), Ubiquitin and proteasome pathways (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). Е.А. Климов collaborates with scholars based in Russia, Tajikistan and United States. Е.А. Климов's co-authors include Sujatha Subramoni, Ze‐Chun Yuan, Э. А. Брага, Г. Е. Сулимова, Е. А. Наумова, В. И. Логинов, В. В. Соболев, I. M. Korsunskaya, И. В. Пронина and Kirill Skorobogatykh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Investigative Dermatology and Frontiers in Plant Science.

In The Last Decade

Е.А. Климов

62 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Е.А. Климов Russia 11 214 87 53 46 38 69 405
Ádám Mészáros Hungary 14 234 1.1× 146 1.7× 35 0.7× 31 0.7× 47 1.2× 33 525
Haibin Wang China 10 134 0.6× 46 0.5× 17 0.3× 20 0.4× 64 1.7× 20 461
Vlasta Korenková Czechia 15 312 1.5× 55 0.6× 125 2.4× 18 0.4× 62 1.6× 24 645
Joseph S. Reddy United States 11 192 0.9× 25 0.3× 35 0.7× 24 0.5× 26 0.7× 22 359
Jen‐i Mao United States 5 501 2.3× 140 1.6× 14 0.3× 40 0.9× 64 1.7× 8 686
Nguyen Hoang Khue Tu Vietnam 8 122 0.6× 20 0.2× 19 0.4× 41 0.9× 77 2.0× 21 310
Yanhua Wen China 13 234 1.1× 13 0.1× 71 1.3× 12 0.3× 29 0.8× 28 443
Keiji Mitsui Japan 14 490 2.3× 158 1.8× 18 0.3× 16 0.3× 82 2.2× 18 664
Dong Xi United States 9 151 0.7× 18 0.2× 28 0.5× 18 0.4× 113 3.0× 15 410

Countries citing papers authored by Е.А. Климов

Since Specialization
Citations

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

Fields of papers citing papers by Е.А. Климов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е.А. Климов. 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 Е.А. Климов. The network helps show where Е.А. Климов may publish in the future.

Co-authorship network of co-authors of Е.А. Климов

This figure shows the co-authorship network connecting the top 25 collaborators of Е.А. Климов. A scholar is included among the top collaborators of Е.А. Климов 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 Е.А. Климов. Е.А. Климов 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.
Климов, Е.А., et al.. (2022). Transcriptional Activity of Some Genes Involved in Apoptosis in Patients with Vulvar Lichen Sclerosus. Bulletin of Experimental Biology and Medicine. 172(6). 734–737. 1 indexed citations
2.
Titova, Nataliya, et al.. (2021). Genetic Markers as Risk Factors for the Development of Impulsive-Compulsive Behaviors in Patients with Parkinson’s Disease Receiving Dopaminergic Therapy. Journal of Personalized Medicine. 11(12). 1321–1321. 7 indexed citations
3.
Kovalchuk, Svetlana N., et al.. (2019). Development of real-time PCR assay for genotyping SNP rs41255693 in cattle <em>SCD</em> gene. AIMS Agriculture and Food. 5(1). 14–19. 1 indexed citations
4.
Kovalchuk, Svetlana N., et al.. (2019). Development of real-time PCR assay for genotyping SNP rs41255693 in cattle <i>SCD</i> gene. AIMS Agriculture and Food. 5(1). 14–19.
5.
Климов, Е.А., et al.. (2018). REVIEW OF GENES VARIABILITY ASSOCIATED WITH MILK PRODUCTIVITY OF DAIRY CATTLE. International Journal of Applied and Fundamental Research (Международный журнал прикладных и фундаментальных исследований). 194–200. 6 indexed citations
6.
Климов, Е.А., et al.. (2018). Psychodermatology: a molecular link between psoriasis and anxiety disorder. Acta Dermatovenerologica Alpina Pannonica et Adriatica. 27(4). 179–183. 5 indexed citations
7.
Климов, Е.А., et al.. (2018). Polymorphic variants of the cholecystokinergic system genes: associations with panic disorders. Meditsinskiy sovet = Medical Council. 190–194. 1 indexed citations
8.
Titova, Nataliya, et al.. (2018). A clinical and genetic study of impulsive-compulsive disorders in patients with Parkinson's disease. S S Korsakov Journal of Neurology and Psychiatry. 118(10). 4–4. 3 indexed citations
9.
Соболев, В. В., et al.. (2017). 218 Polymorphism of dopamine related genes in the light of psychodermatology: Association with psoriasis. Journal of Investigative Dermatology. 137(10). S230–S230. 2 indexed citations
10.
Skorobogatykh, Kirill, et al.. (2016). Biomarkers of migraine: Part 1 – Genetic markers. Journal of the Neurological Sciences. 369. 63–76. 17 indexed citations
11.
Subramoni, Sujatha, et al.. (2014). Agrobacterium tumefaciens responses to plant-derived signaling molecules. Frontiers in Plant Science. 5. 322–322. 108 indexed citations
12.
Климов, Е.А., et al.. (2013). RHOA, SEMA3B, and CKAP2 Expression in Leukaemia of Different Types: the Results of a Pilot Experiment. Folia Biologica. 59(5). 204–206. 4 indexed citations
13.
Климов, Е.А., et al.. (2012). Genetic basis of predisposition to panic disorder. Biology Bulletin Reviews. 2(4). 294–305. 1 indexed citations
14.
Табеева, Г. Р., et al.. (2010). The MTHFR C677T polymorphism is associated with migraine in the Russian population. European Journal of Neurology. 17. 244–244. 1 indexed citations
15.
Пронина, И. В., et al.. (2009). [Alteration of SEMA3B gene expression levels in epithelial tumors].. PubMed. 43(3). 439–45. 10 indexed citations
16.
Pogorelko, Gennady, Oksana Fursova, & Е.А. Климов. (2008). IDentification and Analysis of the Arabidopsis Thaliana Atfas4 Gene Whose Overexpression Results in the Development of A Fasciated Stem. Journal of Proteomics & Bioinformatics. 1(7). 329–335. 2 indexed citations
17.
Angeloni, Debora, Arja ter Elst, Ming Wei, et al.. (2006). Analysis of a new homozygous deletion in the tumor suppressor region at 3p12.3 reveals two novel intronic noncoding RNA genes. Genes Chromosomes and Cancer. 45(7). 676–691. 33 indexed citations
18.
Климов, Е.А., et al.. (2002). Identification of four genes on human chromosome 3 homologous to the known genes on other chromosomes by in silico analysis. International Conference on Bioinformatics. 1. 170–172. 2 indexed citations
19.
Климов, Е.А., et al.. (2002). In silico analysis of human genomic sequences, adjacent to HPV16 integration sites. International Conference on Bioinformatics. 1. 150–152. 1 indexed citations
20.
Климов, Е.А., et al.. (1964). [ON ARTERIAL PRESSURE IN THE POPULATION OF NORIL'SK].. PubMed. 27. 135–8. 1 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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