Sergei I. Bazhan

697 total citations
45 papers, 487 citations indexed

About

Sergei I. Bazhan is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Sergei I. Bazhan has authored 45 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 22 papers in Molecular Biology and 16 papers in Virology. Recurrent topics in Sergei I. Bazhan's work include HIV Research and Treatment (16 papers), Immunotherapy and Immune Responses (16 papers) and vaccines and immunoinformatics approaches (14 papers). Sergei I. Bazhan is often cited by papers focused on HIV Research and Treatment (16 papers), Immunotherapy and Immune Responses (16 papers) and vaccines and immunoinformatics approaches (14 papers). Sergei I. Bazhan collaborates with scholars based in Russia, United States and France. Sergei I. Bazhan's co-authors include Л. И. Карпенко, Денис Антонец, A. A. Ilyichev, Ekaterina V. Starostina, В. А. Черешнев, Gennady Bocharov, S. V. Seregin, В. А. Лихошвай, Б. Н. Зайцев and Jordi Argilaguet and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Theoretical Biology.

In The Last Decade

Sergei I. Bazhan

40 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergei I. Bazhan Russia 15 288 183 141 110 98 45 487
S. A. Jeffs United Kingdom 15 253 0.9× 214 1.2× 246 1.7× 97 0.9× 96 1.0× 33 645
Deepika Bhullar United States 5 213 0.7× 310 1.7× 252 1.8× 115 1.0× 83 0.8× 5 549
Carlos A. Duarte Cuba 12 211 0.7× 105 0.6× 135 1.0× 78 0.7× 87 0.9× 49 436
Sean P. McBurney United States 12 130 0.5× 187 1.0× 219 1.6× 174 1.6× 116 1.2× 16 455
Christopher P. Karch United States 11 271 0.9× 184 1.0× 46 0.3× 131 1.2× 88 0.9× 18 501
Л. И. Карпенко Russia 16 399 1.4× 222 1.2× 183 1.3× 238 2.2× 179 1.8× 89 710
Marie Rojas France 8 158 0.5× 251 1.4× 119 0.8× 86 0.8× 97 1.0× 8 432
P. Azadnia United States 8 217 0.8× 145 0.8× 161 1.1× 89 0.8× 78 0.8× 16 447
Christine Ludwig Germany 10 342 1.2× 98 0.5× 137 1.0× 188 1.7× 77 0.8× 12 577
A. A. Ilyichev Russia 16 378 1.3× 203 1.1× 152 1.1× 215 2.0× 153 1.6× 74 669

Countries citing papers authored by Sergei I. Bazhan

Since Specialization
Citations

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

Fields of papers citing papers by Sergei I. Bazhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergei I. Bazhan. 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 Sergei I. Bazhan. The network helps show where Sergei I. Bazhan may publish in the future.

Co-authorship network of co-authors of Sergei I. Bazhan

This figure shows the co-authorship network connecting the top 25 collaborators of Sergei I. Bazhan. A scholar is included among the top collaborators of Sergei I. Bazhan 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 Sergei I. Bazhan. Sergei I. Bazhan 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.
Карпенко, Л. И., et al.. (2023). Artificial COVID-19 T-Cell Immunogen. Bulletin of Experimental Biology and Medicine. 175(6). 804–809.
2.
Карпенко, Л. И., et al.. (2023). Artificial COVID-19 T-cell immunogen. Bulletin of Experimental Biology and Medicine. 767–772. 1 indexed citations
3.
Карпенко, Л. И., Д. Н. Щербаков, Ekaterina V. Starostina, et al.. (2022). Immunogenicity of the DNA/Protein Combined Vaccine against COVID-19. Bulletin of Experimental Biology and Medicine. 174(2). 246–249. 2 indexed citations
4.
Starostina, Ekaterina V., et al.. (2022). Immune response against DNA- and mRNA vaccines encoding artificial influenza virus immunogens. Russian Journal of Immunology. 25(3). 321–326. 1 indexed citations
5.
Starostina, Ekaterina V., Г. А. Степанов, Georgiy Yu. Shevelev, et al.. (2021). Construction and Immunogenicity of Modified mRNA-Vaccine Variants Encoding Influenza Virus Antigens. Vaccines. 9(5). 452–452. 20 indexed citations
6.
Карпенко, Л. И., Д. Н. Щербаков, Sergei I. Bazhan, et al.. (2021). Delivery of mRNA Vaccine against SARS-CoV-2 Using a Polyglucin:Spermidine Conjugate. Vaccines. 9(2). 76–76. 31 indexed citations
7.
Bazhan, Sergei I., et al.. (2019). In silico Designed Ebola Virus T-Cell Multi-Epitope DNA Vaccine Constructions Are Immunogenic in Mice. Vaccines. 7(2). 34–34. 61 indexed citations
8.
Антонец, Денис, et al.. (2018). Design of Artificial Immunogens Containing Melanoma-associated T-cell Epitopes. Current Gene Therapy. 18(6). 375–385. 4 indexed citations
9.
Starostina, Ekaterina V., et al.. (2017). Therapeutic Vaccines against Melanoma. Biotekhnologiya. 33(6). 4–11.
10.
Антонец, Денис, Evgeny S. Morozkin, Sergei I. Bazhan, et al.. (2016). Design of Polyepitope DNA Vaccine against Breast Carcinoma Cells and Analysis of Its Expression in Dendritic Cells. Bulletin of Experimental Biology and Medicine. 160(4). 486–490. 6 indexed citations
11.
Карпенко, Л. И., et al.. (2016). Visualization of CombiHIVvac Vaccine Particles Using Electron Microscopy. AIDS Research and Human Retroviruses. 33(4). 323–324. 1 indexed citations
12.
Bazhan, Sergei I., et al.. (2016). Evaluation of Influenza Vaccination Efficacy: A Universal Epidemic Model. BioMed Research International. 2016. 1–8.
13.
Черешнев, В. А., Gennady Bocharov, Sergei I. Bazhan, et al.. (2013). Pathogenesis and Treatment of HIV Infection: The Cellular, the Immune System and the Neuroendocrine Systems Perspective. International Reviews of Immunology. 32(3). 282–306. 14 indexed citations
14.
Bazhan, Sergei I., S. V. Seregin, Irina N. Babkina, et al.. (2004). Construction of an Artificial Immunogen, a Candidate DNA Vaccine Encoding Multiple CTL Epitopes of HIV-1. Doklady Biochemistry and Biophysics. 395(1-6). 108–110. 6 indexed citations
15.
Карпенко, Л. И., A. A. Ilyichev, G. M. Ignatyev, et al.. (2004). Comparative analysis using a mouse model of the immunogenicity of artificial VLP and attenuated Salmonella strain carrying a DNA-vaccine encoding HIV-1 polyepitope CTL-immunogen. Vaccine. 22(13-14). 1692–1699. 30 indexed citations
16.
Bazhan, Sergei I., et al.. (2003). [Artificial anti-HIV immunogens and methods of their delivery].. PubMed. 24–30. 1 indexed citations
17.
Bazhan, Sergei I., et al.. (2002). Searching for Local Similarities between HIV-1 and Human Proteins. Application to Vaccines. Molecular Biology. 36(3). 346–358. 9 indexed citations
18.
Bazhan, Sergei I., et al.. (1999). Interferon-induced Antiviral Resistance. A Mathematical Model of Regulation of Mx1 Protein Induction and Action. Journal of Theoretical Biology. 198(3). 375–393. 4 indexed citations
19.
Лихошвай, В. А., et al.. (1995). A computer system for analysis and integrated description of regulation of the molecular-genetic system of interferon induction and action. Computer applications in the biosciences. 11(2). 213–218. 2 indexed citations
20.
Bazhan, Sergei I., et al.. (1977). Hypotensive effect of intensification of aldosterone metabolism in dogs with vasorenal hypertension. Bulletin of Experimental Biology and Medicine. 84(2). 1098–1101. 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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