E. A. Ananko

401 total citations
24 papers, 278 citations indexed

About

E. A. Ananko is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, E. A. Ananko has authored 24 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Computational Theory and Mathematics. Recurrent topics in E. A. Ananko's work include Bioinformatics and Genomic Networks (9 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Chromatin Dynamics (8 papers). E. A. Ananko is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), RNA and protein synthesis mechanisms (9 papers) and Genomics and Chromatin Dynamics (8 papers). E. A. Ananko collaborates with scholars based in Russia and United Kingdom. E. A. Ananko's co-authors include Н. А. Колчанов, Fedor Kolpakov, Grigory Kolesov, E. V. Ignatieva, Т. И. Меркулова, V. G. Levitsky, Charlie Hodgman, O. A. Podkolodnaya, Tatyana Merkulova‐Rainon and T. N. Goryachkovskaya and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

E. A. Ananko

23 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. A. Ananko Russia	10	232	41	21	19	15	24	278
Ibrahim Emam United Kingdom	4	195 0.8×	36 0.9×	18 0.9×	8 0.4×	19 1.3×	8	252
Marit Ackermann Germany	7	281 1.2×	82 2.0×	11 0.5×	18 0.9×	18 1.2×	8	370
Sin Lam Tan Singapore	10	323 1.4×	73 1.8×	31 1.5×	9 0.5×	37 2.5×	18	395
Vivek Das United States	7	238 1.0×	36 0.9×	32 1.5×	18 0.9×	46 3.1×	19	352
Radek Štěpán United Kingdom	3	191 0.8×	33 0.8×	35 1.7×	13 0.7×	17 1.1×	4	249
Yupeng Cun China	10	190 0.8×	27 0.7×	24 1.1×	36 1.9×	53 3.5×	19	302
Bernd Roechert Switzerland	3	186 0.8×	20 0.5×	14 0.7×	14 0.7×	7 0.5×	3	223
Raffaella Rizzi Italy	12	302 1.3×	41 1.0×	33 1.6×	10 0.5×	38 2.5×	23	361
F. Huber Germany	10	232 1.0×	15 0.4×	23 1.1×	12 0.6×	24 1.6×	20	318
Tianming Zhou United States	7	308 1.3×	34 0.8×	26 1.2×	28 1.5×	34 2.3×	7	343

Countries citing papers authored by E. A. Ananko

Since Specialization

Citations

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

Fields of papers citing papers by E. A. Ananko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. A. Ananko

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

Хлебодарова, Т. М., Dmitry Oshchepkov, V. G. Levitsky, et al.. (2015). Effect of flanking sequences on the accuracy of the recognition of transcription factor binding sites. Russian Journal of Genetics Applied Research. 5(4). 322–329. 1 indexed citations

Меркулова, Т. И., et al.. (2013). Регуляторные коды транскрипции геномов эукариот. Генетика. 49(1). 37–54. 9 indexed citations

Меркулова, Т. И., E. A. Ananko, E. V. Ignatieva, & Н. А. Колчанов. (2013). Transcription regulatory codes of eukaryotic genomes. Russian Journal of Genetics. 49(1). 29–45. 10 indexed citations

Vityaev, Evgenii, et al.. (2008). ExpertDiscovery system application for the hierarchical analysis of eukaryotic transcription regulatory regions based on DNA codes of transcription. Intelligent Data Analysis. 12(5). 481–494. 1 indexed citations

Levitsky, V. G., et al.. (2007). Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions. BMC Bioinformatics. 8(1). 481–481. 33 indexed citations

Ananko, E. A., Yury V. Kondrakhin, Т. И. Меркулова, & Н. А. Колчанов. (2007). Recognition of interferon-inducible sites, promoters, and enhancers. BMC Bioinformatics. 8(1). 56–56. 12 indexed citations

Меркулова, Т. И., Dmitry Oshchepkov, E. V. Ignatieva, et al.. (2007). Bioinformatical and experimental approaches to investigation of transcription factor binding sites in vertebrate genes. Biochemistry (Moscow). 72(11). 1187–1193. 8 indexed citations

Колчанов, Н. А., Tatyana Merkulova‐Rainon, E. A. Ananko, et al.. (2007). Combined experimental and computational approaches to study the regulatory elements in eukaryotic genes. Briefings in Bioinformatics. 8(4). 266–274. 24 indexed citations

Ananko, E. A., Yoshihiro Usuda, & Kunihiko Matsui. (2006). AROMATIC AMINO ACID BIOSYNTHESIS IN ESCHERICHIA COLI: GENERALIZED HILL FUNCTION MODEL OF THE TRYPTOPHAN- SENSITIVE 3-DEOXY-D-ARABINO- HEPTULOSONATE-7-PHOSPHATE SYNTHASE REACTION DEMONSTRATE COMPLICATED MECHANISM. 1 indexed citations

10.

Ananko, E. A., et al.. (2006). Recognition of transcription factor binding sites by the SiteGA method. BIOPHYSICS. 51(4). 565–570. 2 indexed citations

11.

Ananko, E. A.. (2004). GeneNet in 2005. Nucleic Acids Research. 33(Database issue). D425–D427. 22 indexed citations

12.

Колчанов, Н. А., O. A. Podkolodnaya, E. A. Ananko, et al.. (2004). An Integrated Computer System for Studying the Regulation of Eukaryotic Gene Expression. Molecular Biology. 38(1). 58–69. 1 indexed citations

13.

Ananko, E. A.. (2002). GeneNet: a database on structure and functional organisation of gene networks. Nucleic Acids Research. 30(1). 398–401. 28 indexed citations

14.

Колчанов, Н. А., E. A. Ananko, В. А. Лихошвай, et al.. (2002). GeneNet database: description and modeling of gene networks.. PubMed. 2(2). 97–110. 8 indexed citations

15.

Лихошвай, В. А., et al.. (2001). Generalized Chemokinetic Method for Gene Network Simulation. Molecular Biology. 35(6). 919–925. 5 indexed citations

16.

Колчанов, Н. А., et al.. (2000). Gene networks. Molecular Biology. 34(4). 449–460. 17 indexed citations

17.

Колчанов, Н. А., E. A. Ananko, O. A. Podkolodnaya, et al.. (1999). Transcription Regulatory Regions Database (TRRD): its status in 1999. Nucleic Acids Research. 27(1). 303–306. 21 indexed citations

18.

Kolpakov, Fedor & E. A. Ananko. (1999). Interactive data input into the GeneNet database.. Bioinformatics. 15(7). 713–714. 6 indexed citations

19.

Kolpakov, Fedor, E. A. Ananko, Grigory Kolesov, & Н. А. Колчанов. (1998). GeneNet: a gene network database and its automated visualization.. Bioinformatics. 14(6). 529–537. 60 indexed citations

20.

Ananko, E. A., et al.. (1997). [Mechanisms of transcriptional regulation of interferon-induced genes: description in the IIG-TRRD information system].. PubMed. 31(4). 701–13. 2 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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