A. V. Kachko

552 total citations
31 papers, 451 citations indexed

About

A. V. Kachko is a scholar working on Infectious Diseases, Epidemiology and Hepatology. According to data from OpenAlex, A. V. Kachko has authored 31 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 13 papers in Epidemiology and 11 papers in Hepatology. Recurrent topics in A. V. Kachko's work include Viral Infections and Vectors (12 papers), Hepatitis B Virus Studies (12 papers) and Hepatitis C virus research (11 papers). A. V. Kachko is often cited by papers focused on Viral Infections and Vectors (12 papers), Hepatitis B Virus Studies (12 papers) and Hepatitis C virus research (11 papers). A. V. Kachko collaborates with scholars based in Russia, United States and Australia. A. V. Kachko's co-authors include Marian Major, Pei Zhang, Hisayoshi Watanabe, Stephen M. Feinstone, Lilin Zhong, Evi Struble, Kathleen Mihalik, Harvey J. Alter, Maria Luisa Virata and В. Б. Локтев and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Hepatology.

In The Last Decade

A. V. Kachko

30 papers receiving 446 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. V. Kachko Russia 12 227 213 122 116 100 31 451
Arnab Basu United States 11 152 0.7× 275 1.3× 60 0.5× 111 1.0× 173 1.7× 13 473
Rachel Trowbridge Australia 16 340 1.5× 308 1.4× 41 0.3× 182 1.6× 121 1.2× 26 691
Mark B. Stoddard United States 10 231 1.0× 304 1.4× 31 0.3× 118 1.0× 106 1.1× 10 518
Vanessa M. Cowton United Kingdom 11 84 0.4× 196 0.9× 59 0.5× 56 0.5× 157 1.6× 19 394
Angela Skelton United States 13 492 2.2× 421 2.0× 82 0.7× 121 1.0× 373 3.7× 20 754
Lawrence D. Loomis‐Price United States 10 175 0.8× 182 0.9× 119 1.0× 68 0.6× 132 1.3× 15 469
Florence Dô Canada 9 120 0.5× 219 1.0× 28 0.2× 108 0.9× 159 1.6× 12 448
L. Earnest-Silveira Australia 14 515 2.3× 540 2.5× 70 0.6× 122 1.1× 116 1.2× 19 719
Hangchun Zhang United States 5 275 1.2× 131 0.6× 36 0.3× 197 1.7× 166 1.7× 7 501
D.C. Pevear United States 7 93 0.4× 227 1.1× 27 0.2× 96 0.8× 173 1.7× 9 429

Countries citing papers authored by A. V. Kachko

Since Specialization
Citations

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

Fields of papers citing papers by A. V. Kachko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. V. Kachko

This figure shows the co-authorship network connecting the top 25 collaborators of A. V. Kachko. A scholar is included among the top collaborators of A. V. Kachko 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. V. Kachko. A. V. Kachko 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.
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Kachko, A. V., et al.. (2022). Assessing the impact of hepatitis B immune globulin (HBIG) on responses to hepatitis B vaccine during co-administration. Vaccine. 41(4). 955–964. 2 indexed citations
3.
Major, Marian, Alexander Gutfraind, Louis Shekhtman, et al.. (2018). Modeling of patient virus titers suggests that availability of a vaccine could reduce hepatitis C virus transmission among injecting drug users. Science Translational Medicine. 10(449). 35 indexed citations
4.
Tan, Wendy G., et al.. (2017). Qualitative differences in cellular immunogenicity elicited by hepatitis C virus T-Cell vaccines employing prime-boost regimens. PLoS ONE. 12(7). e0181578–e0181578. 10 indexed citations
5.
Duan, Hongying, et al.. (2015). Reverse Engineering of Vaccine Antigens Using High Throughput Sequencing-enhanced mRNA Display. EBioMedicine. 2(8). 859–867. 5 indexed citations
6.
7.
Kachko, A. V., Sandra Loesgen, Syed Shahzad‐ul‐Hussan, et al.. (2013). Inhibition of Hepatitis C Virus by the Cyanobacterial Protein Microcystis viridis Lectin: Mechanistic Differences between the High-Mannose Specific Lectins MVL, CV-N, and GNA. Molecular Pharmaceutics. 10(12). 4590–4602. 42 indexed citations
8.
Duan, Hongying, A. V. Kachko, Lilin Zhong, et al.. (2012). Amino Acid Residue-Specific Neutralization and Nonneutralization of Hepatitis C Virus by Monoclonal Antibodies to the E2 Protein. Journal of Virology. 86(23). 12686–12694. 27 indexed citations
9.
Kachko, A. V., Г. В. Кочнева, G. F. Sivolobova, et al.. (2011). New neutralizing antibody epitopes in hepatitis C virus envelope glycoproteins are revealed by dissecting peptide recognition profiles. Vaccine. 30(1). 69–77. 26 indexed citations
10.
Bogachek, Maria V., Б. Н. Зайцев, S. K. Sekatskiǐ, et al.. (2010). Characterization of glycoprotein E C-End of West Nile virus and evaluation of its interaction force with αVβ3 integrin as putative cellular receptor. Biochemistry (Moscow). 75(4). 472–480. 14 indexed citations
11.
Subbotina, Ekaterina, et al.. (2010). Genetic factors of Ebola virus virulence in guinea pigs. Virus Research. 153(1). 121–133. 26 indexed citations
12.
Choi, You-kyung, Esther H. Chang, Kathleen F. Pirollo, et al.. (2009). T-cell vaccines that elicit effective immune responses against HCV in chimpanzees may create greater immune pressure for viral mutation. Vaccine. 27(19). 2594–2602. 26 indexed citations
13.
Tikunova, Nina V., et al.. (2007). A computational-experimental approach to designing a polyfunctional genosensor derived from the Escherichia coli Gene yfiA promoter. Doklady Biochemistry and Biophysics. 417(1). 357–361. 4 indexed citations
14.
Subbotina, Ekaterina, A. V. Kachko, & А. А. Чепурнов. (2007). [The properties of Ebola virus proteins].. PubMed. 51(6). 4–10. 3 indexed citations
15.
Kachko, A. V., Alla V. Ivanova, Е. В. Протопопова, Netesov Sv, & В. Б. Локтев. (2006). Inhibition of West Nile virus replication by short interfering RNAs. Doklady Biochemistry and Biophysics. 410(1). 260–262. 5 indexed citations
16.
Разумов, И. А., В. А. Терновой, Е. В. Протопопова, et al.. (2005). Neutralizing Monoclonal Antibodies Against Russian Strain of the West Nile Virus. Viral Immunology. 18(3). 558–568. 10 indexed citations
17.
Костина, М. Б., Е. В. Протопопова, Svetlana Konovalova, et al.. (2004). [Activation of the RIG-I gene, coding for DEXH/D-protein in infection of RH cells by tick-borne encephalitis virus].. PubMed. 30(2). 146–50. 2 indexed citations
18.
Kachko, A. V., et al.. (2003). Adenovirus Serotype 5 Variants Defective in Early Genes: Selective Replication in p53-Deficient Human Tumor Cells. Molecular Biology. 37(5). 739–745. 2 indexed citations
19.
Ivanova, Alla V., A. V. Kachko, Netesov Sv, et al.. (2002). Mapping of Two Dominant Sites of VP35 of Marburg Virus. Viral Immunology. 15(3). 481–492. 3 indexed citations
20.
Kachko, A. V., Л. Г. Николаев, G.S. Monastyrskaya, et al.. (2002). Induction of Alternatively Spliced Spermidine/Spermine N1-Acetyltransferase mRNA in the Human Kidney Cells Infected by Venezuelan Equine Encephalitis and Tick-Borne Encephalitis Viruses. Virology. 297(2). 163–171. 15 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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