A. G. Romaschenko

744 total citations
30 papers, 570 citations indexed

About

A. G. Romaschenko is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, A. G. Romaschenko has authored 30 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Immunology. Recurrent topics in A. G. Romaschenko's work include Vector-borne infectious diseases (6 papers), Yersinia bacterium, plague, ectoparasites research (6 papers) and Mosquito-borne diseases and control (5 papers). A. G. Romaschenko is often cited by papers focused on Vector-borne infectious diseases (6 papers), Yersinia bacterium, plague, ectoparasites research (6 papers) and Mosquito-borne diseases and control (5 papers). A. G. Romaschenko collaborates with scholars based in Russia, United States and United Kingdom. A. G. Romaschenko's co-authors include М. И. Воевода, Andrey V. Barkhash, Edgar Wingender, Alexander Kel, O. V. Kel, Н. А. Колчанов, Vladimir N. Babenko, Holger Karas, Peter Dietze and T. Heinemeyer and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and FEBS Letters.

In The Last Decade

A. G. Romaschenko

27 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. G. Romaschenko Russia 13 189 128 122 117 106 30 570
Hiba S. Mohamed Sudan 14 126 0.7× 369 2.9× 86 0.7× 66 0.6× 115 1.1× 27 762
Cemalettin Bekpen Germany 11 224 1.2× 31 0.2× 106 0.9× 33 0.3× 109 1.0× 14 601
John C. Tan United States 17 287 1.5× 218 1.7× 82 0.7× 63 0.5× 56 0.5× 27 668
Robert A. Nofchissey United States 19 98 0.5× 238 1.9× 39 0.3× 463 4.0× 118 1.1× 32 883
Jan Oppelt Czechia 14 264 1.4× 20 0.2× 60 0.5× 36 0.3× 14 0.1× 48 578
C. Pan United States 10 113 0.6× 19 0.1× 89 0.7× 17 0.1× 113 1.1× 41 621
Teresa C. F. Assumpção United States 19 196 1.0× 187 1.5× 119 1.0× 59 0.5× 162 1.5× 21 735
Debra A. Barnes United States 13 185 1.0× 198 1.5× 49 0.4× 85 0.7× 163 1.5× 19 708
T. Scott Manetz United States 11 287 1.5× 87 0.7× 51 0.4× 89 0.8× 43 0.4× 15 823
Brett J. Hilton United States 7 227 1.2× 61 0.5× 43 0.4× 106 0.9× 30 0.3× 9 556

Countries citing papers authored by A. G. Romaschenko

Since Specialization
Citations

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

Fields of papers citing papers by A. G. Romaschenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. G. Romaschenko

This figure shows the co-authorship network connecting the top 25 collaborators of A. G. Romaschenko. A scholar is included among the top collaborators of A. G. Romaschenko 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 A. G. Romaschenko. A. G. Romaschenko 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.
Barkhash, Andrey V., Andrey A. Yurchenko, N. S. Yudin, et al.. (2018). A matrix metalloproteinase 9 (MMP9) gene single nucleotide polymorphism is associated with predisposition to tick-borne encephalitis virus-induced severe central nervous system disease. Ticks and Tick-borne Diseases. 9(4). 763–767. 20 indexed citations
3.
Barkhash, Andrey V., Vladimir N. Babenko, М. И. Воевода, & A. G. Romaschenko. (2016). Association of IL28B and IL10 gene polymorphism with predisposition to tick-borne encephalitis in a Russian population. Ticks and Tick-borne Diseases. 7(5). 808–812. 23 indexed citations
5.
Barkhash, Andrey V., et al.. (2014). Association between polymorphisms in OAS2 and CD209 genes and predisposition to chronic hepatitis C in Russian population. Microbes and Infection. 16(5). 445–449. 12 indexed citations
6.
Barkhash, Andrey V., М. И. Воевода, & A. G. Romaschenko. (2013). Association of single nucleotide polymorphism rs3775291 in the coding region of the TLR3 gene with predisposition to tick-borne encephalitis in a Russian population. Antiviral Research. 99(2). 136–138. 45 indexed citations
7.
Gubina, Marina, Larisa Damba, Vladimir N. Babenko, A. G. Romaschenko, & М. И. Воевода. (2013). Haplotype diversity in mtDNA and Y-chromosome in populations of Altai-Sayan region. Russian Journal of Genetics. 49(3). 329–343. 13 indexed citations
8.
Yudin, N. S., et al.. (2011). Polymorphism of intron 2 of the SDF1 gene in Galloway, Hereford, and Russian Black Pied cattle. Russian Journal of Genetics. 47(2). 247–250. 1 indexed citations
9.
Petřková, Jana, М. И. Воевода, Miloš Táborský, et al.. (2011). CCL5/RANTES Gene Polymorphisms in Slavonic Patients with Myocardial Infarction. Mediators of Inflammation. 2011. 1–6. 17 indexed citations
10.
Barkhash, Andrey V., Andrey A. Perelygin, Vladimir N. Babenko, et al.. (2010). Variability in the 2′‐5′‐Oligoadenylate Synthetase Gene Cluster Is Associated with Human Predisposition to Tick‐Borne Encephalitis Virus–Induced Disease. The Journal of Infectious Diseases. 202(12). 1813–1818. 65 indexed citations
12.
Romaschenko, A. G., et al.. (2010). Mitochondrial DNA studies of the Pazyryk people (4th to 3rd centuries BC) from northwestern Mongolia. Archaeological and Anthropological Sciences. 2(4). 231–236. 23 indexed citations
13.
Petřková, Jana, František Mrázek, J Lukl, et al.. (2009). The macrophage migration inhibitory factor (MIF) gene polymorphism in Czech and Russian patients with myocardial infarction. Clinica Chimica Acta. 402(1-2). 199–202. 23 indexed citations
14.
Чикишева, Т. А., Marina Gubina, Kulikov Vp, et al.. (2007). A paleogenetic study of the prehistoric populations of the Altai. Archaeology Ethnology and Anthropology of Eurasia. 32(1). 130–142. 13 indexed citations
15.
Rogozin, Igor B., et al.. (2003). Concerted Changes in the Nucleotide Sequences of the Intragenic Promoter Regions of Eukaryotic Genes for tRNAs of All Specificities. Journal of Molecular Evolution. 57(5). 520–532. 5 indexed citations
16.
Воевода, М. И., N. S. Yudin, В. Н. Максимов, et al.. (2002). Association of the CCR2 Chemokine Receptor Gene Polymorphism with Myocardial Infarction. Doklady Biological Sciences. 385(1-6). 367–370. 2 indexed citations
17.
Romaschenko, A. G., et al.. (2002). Detection of Two Polymorphic Sites in the Human c-fms Gene: Allele Frequencies in Several Russian Populations. Russian Journal of Genetics. 38(1). 25–31.
18.
Yudin, N. S., et al.. (1998). Distribution of CCR5-delta 32 gene deletion across the Russian part of Eurasia. Human Genetics. 102(6). 695–698. 21 indexed citations
19.
Wingender, Edgar, Alexander Kel, O. V. Kel, et al.. (1997). TRANSFAC, TRRD and COMPEL: towards a federated database system on transcriptional regulation. Nucleic Acids Research. 25(1). 265–268. 124 indexed citations
20.
Kel, O. V., A. G. Romaschenko, Alexander Kel, Edgar Wingender, & Н. А. Колчанов. (1995). A compilation of composite regulatory elements affecting gene transcription in vertebrates. Nucleic Acids Research. 23(20). 4097–4103. 76 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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