E. V. Ignatieva

651 total citations
46 papers, 412 citations indexed

About

E. V. Ignatieva is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, E. V. Ignatieva has authored 46 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Genetics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in E. V. Ignatieva's work include RNA and protein synthesis mechanisms (10 papers), Genomics and Chromatin Dynamics (10 papers) and RNA Research and Splicing (7 papers). E. V. Ignatieva is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), Genomics and Chromatin Dynamics (10 papers) and RNA Research and Splicing (7 papers). E. V. Ignatieva collaborates with scholars based in Russia, United Kingdom and United States. E. V. Ignatieva's co-authors include Н. А. Колчанов, N. S. Yudin, V. G. Levitsky, Dmitry Oshchepkov, E. A. Ananko, Д. А. Афонников, Denis M. Larkin, Evgenii Vityaev, Е. И. Рогаев and O. A. Podkolodnaya and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and BMC Bioinformatics.

In The Last Decade

E. V. Ignatieva

42 papers receiving 400 citations

Peers

Countries citing papers authored by E. V. Ignatieva

Since Specialization

Citations

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

Fields of papers citing papers by E. V. Ignatieva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. V. Ignatieva. 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 E. V. Ignatieva. The network helps show where E. V. Ignatieva may publish in the future.

Co-authorship network of co-authors of E. V. Ignatieva

This figure shows the co-authorship network connecting the top 25 collaborators of E. V. Ignatieva. A scholar is included among the top collaborators of E. V. Ignatieva 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 E. V. Ignatieva. E. V. Ignatieva 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

#	Work	Indexed citations
1	Reconstruction and computer analysis of the structural and functional organization of the gene network regulating cholesterol biosynthesis in humans and the evolutionary characteristics of the genes involved in the network 2025 ·Vavilov Journal of Genetics and Breeding ·(unknown), С. А. Лашин, В. А. Иванисенко, П. С. Деменков, E. V. Ignatieva	0
2	Evolution of human genes encoding cell surface receptors involved in the regulation of appetite: an analysis based on the phylostratigraphic age and divergence indexes 2023 ·Vavilov Journal of Genetics and Breeding ·E. V. Ignatieva, С. А. Лашин, (unknown), Н. А. Колчанов	0
3	ASSESSMENT OF PRODUCTION AND ECONOMIC INFRASTRUCTURE OF THE REGIONS OF THE URAL FEDERAL DISTRICT AND ITS IMPACT ON ECONOMIC GROWTH 2023 ·Bulletin of South Ural State University series Economics and management ·E. V. Ignatieva, (unknown)	0
4	THE IMPACT OF INFRASTRUCTURE PROVISION ON ECONOMIC GROWTH IN INDUSTRIAL REGIONS OF THE RUSSIAN FEDERATION 2022 ·Bulletin of South Ural State University series Economics and management ·E. V. Ignatieva, (unknown)	1
5	ASSESSMENT OF INFRASTRUCTURE SOURCES AND LIMITATIONS TO THE ECONOMIC GROWTH OF RUSSIAN REGIONS 2021 ·Bulletin of South Ural State University series Economics and management ·E. V. Ignatieva, Oleg Mariev, (unknown)	2
6	A Catalog of Human Genes Associated With Pathozoospermia and Functional Characteristics of These Genes 2021 ·Frontiers in Genetics ·E. V. Ignatieva, А. В. Осадчук, (unknown), (unknown), Л. В. Осадчук	7
7	Disruptive natural selection by male reproductive potential prevents underexpression of protein-coding genes on the human Y chromosome as a self-domestication syndrome 2020 ·BMC Genetics ·М. П. Пономаренко, (unknown), П. М. Пономаренко, (unknown), (unknown), (unknown), Semyon Kolmykov, И. А. Драчкова, Gennady V. Vasiliev, (unknown), E. V. Ignatieva, Л. К. Савинкова, (unknown), Л. В. Осадчук, (unknown), Dmitry Oshchepkov	8
8	Exome-wide search and functional annotation of genes associated in patients with severe tick-borne encephalitis in a Russian population 2019 ·BMC Medical Genomics ·E. V. Ignatieva, Andrey A. Yurchenko, М. И. Воевода, N. S. Yudin	6
9	MENTORING IN A MODERN SCHOOL: MYTH OR REALITY? 2018 ·SHILAP Revista de lepidopterología ·E. V. Ignatieva, (unknown)	3
10	A compendium and functional characterization of mammalian genes involved in adaptation to Arctic or Antarctic environments 2017 ·BMC Genetics ·N. S. Yudin, Denis M. Larkin, E. V. Ignatieva	31
11	A database of human genes and a gene network involved in response to tick-borne encephalitis virus infection 2017 ·BMC Evolutionary Biology ·E. V. Ignatieva, (unknown), N. S. Yudin	8
12	A compendium of human genes regulating feeding behavior and body weight, its functional characterization and identification of GWAS genes involved in brain-specific PPI network 2016 ·BMC Genetics ·E. V. Ignatieva, Д. А. Афонников, Olga Saik, Е. И. Рогаев, Н. А. Колчанов	22
13	Routes of nanoparticle uptake into mammalian organisms, their biocompatibility and cellular effects 2012 ·Biology Bulletin Reviews ·O. A. Podkolodnaya, E. V. Ignatieva, (unknown), Н. А. Колчанов	1
14	ExpertDiscovery and UGENE integrated system for intelligent analysis of regulatory regions of genes 2012 ·In Silico Biology ·(unknown), (unknown), E. V. Ignatieva, Evgenii Vityaev	5
15	Finding biomarkers in non-model species: literature mining of transcription factors involved in bovine embryo development 2012 ·BioData Mining ·(unknown), Evgeny Tiys, В. А. Иванисенко, N. S. Yudin, E. V. Ignatieva, (unknown), Séverine A. Degrelle, Isabelle Hue	7
16	Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions 2007 ·BMC Bioinformatics ·V. G. Levitsky, E. V. Ignatieva, E. A. Ananko, (unknown), (unknown), Н. А. Колчанов, Charlie Hodgman	33
17	Bioinformatical and experimental approaches to investigation of transcription factor binding sites in vertebrate genes 2007 ·Biochemistry (Moscow) ·Т. И. Меркулова, Dmitry Oshchepkov, E. V. Ignatieva, E. A. Ananko, V. G. Levitsky, Gennady V. Vasiliev, (unknown), (unknown), Н. А. Колчанов	8
18	SITECON: a tool for detecting conservative conformational and physicochemical properties in transcription factor binding site alignments and for site recognition 2004 ·Nucleic Acids Research ·Dmitry Oshchepkov, Evgenii Vityaev, (unknown), E. V. Ignatieva, Т. М. Хлебодарова	40
19	Resilience of Cholesterol Concentration to a Wide Range of Mutations in the Cell 2003 ·(unknown), В. А. Лихошвай, E. V. Ignatieva, Igor Goryanin, Н. А. Колчанов	4
20	Transcription Regulatory Regions Database (TRRD): its status in 1999 1999 ·Nucleic Acids Research ·Н. А. Колчанов, E. A. Ananko, O. A. Podkolodnaya, E. V. Ignatieva, (unknown), Olga Kel‐Margoulis, Alexander Kel, Tatyana Merkulova‐Rainon, T. N. Goryachkovskaya, (unknown), Fedor Kolpakov, (unknown), (unknown), (unknown)	21

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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