К. В. Пугачев

2.2k total citations
34 papers, 1.6k citations indexed

About

К. В. Пугачев is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology. According to data from OpenAlex, К. В. Пугачев has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Public Health, Environmental and Occupational Health, 22 papers in Infectious Diseases and 12 papers in Epidemiology. Recurrent topics in К. В. Пугачев's work include Mosquito-borne diseases and control (28 papers), Viral Infections and Vectors (21 papers) and Virology and Viral Diseases (11 papers). К. В. Пугачев is often cited by papers focused on Mosquito-borne diseases and control (28 papers), Viral Infections and Vectors (21 papers) and Virology and Viral Diseases (11 papers). К. В. Пугачев collaborates with scholars based in United States, France and Russia. К. В. Пугачев's co-authors include Thomas P. Monath, Teryl K. Frey, Farshad Guirakhoo, S. Ocran, Dennis W. Trent, Richard Weltzin, John Catalan, Juan Arroyo, Emily Abernathy and Ken Draper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Virology.

In The Last Decade

К. В. Пугачев

34 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
К. В. Пугачев United States 23 1.1k 1.1k 380 238 195 34 1.6k
David Warrilow Australia 27 949 0.8× 1.1k 1.0× 263 0.7× 397 1.7× 335 1.7× 67 1.8k
Rebecca Rico-Hesse United States 22 1.4k 1.2× 1.4k 1.4× 332 0.9× 109 0.5× 167 0.9× 28 2.3k
Penelope Koraka Netherlands 20 1.4k 1.2× 1.3k 1.3× 191 0.5× 224 0.9× 145 0.7× 40 1.8k
M Bray United States 22 1.6k 1.4× 1.4k 1.3× 299 0.8× 348 1.5× 412 2.1× 27 2.3k
T J Chambers United States 13 1.4k 1.2× 1.0k 1.0× 266 0.7× 253 1.1× 146 0.7× 13 1.7k
J. Robert Putnak United States 25 2.0k 1.8× 1.8k 1.7× 257 0.7× 132 0.6× 209 1.1× 36 2.4k
Juliane Schalich Austria 8 1.4k 1.2× 1.2k 1.1× 309 0.8× 214 0.9× 149 0.8× 9 1.6k
Gisela Wengler Germany 23 1.5k 1.3× 1.3k 1.2× 438 1.2× 424 1.8× 434 2.2× 36 2.2k
S L Allison Austria 10 1.3k 1.2× 1.2k 1.2× 216 0.6× 151 0.6× 161 0.8× 12 1.7k
Christophe N. Peyrefitte France 26 1.5k 1.3× 1.4k 1.4× 295 0.8× 203 0.9× 206 1.1× 64 2.1k

Countries citing papers authored by К. В. Пугачев

Since Specialization
Citations

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

Fields of papers citing papers by К. В. Пугачев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by К. В. Пугачев. 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 К. В. Пугачев. The network helps show where К. В. Пугачев may publish in the future.

Co-authorship network of co-authors of К. В. Пугачев

This figure shows the co-authorship network connecting the top 25 collaborators of К. В. Пугачев. A scholar is included among the top collaborators of К. В. Пугачев 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 К. В. Пугачев. К. В. Пугачев 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.
Giel–Moloney, Maryann, Alexander A. Rumyantsev, Fred R. David, et al.. (2017). A novel approach to a rabies vaccine based on a recombinant single-cycle flavivirus vector. Vaccine. 35(49). 6898–6904. 8 indexed citations
2.
Mundle, Sophia T., Maryann Giel–Moloney, Harry Kleanthous, К. В. Пугачев, & Stephen F. Anderson. (2014). Preparation of pure, high titer, pseudoinfectious Flavivirus particles by hollow fiber tangential flow filtration and anion exchange chromatography. Vaccine. 33(35). 4255–4260. 8 indexed citations
3.
Dayan, Gustavo H., et al.. (2013). Preclinical and Clinical Development of a YFV 17 D-Based Chimeric Vaccine against West Nile Virus. Viruses. 5(12). 3048–3070. 36 indexed citations
4.
Rumyantsev, Alexander A., Maryann Giel–Moloney, Yuxi Liu, et al.. (2011). Characterization of the RepliVax platform for replication-defective flavivirus vaccines. Vaccine. 29(32). 5184–5194. 12 indexed citations
5.
Rumyantsev, Alexander A., Zhenxi Zhang, Qingsheng Gao, et al.. (2009). Direct random insertion of an influenza virus immunologic determinant into the NS1 glycoprotein of a vaccine flavivirus. Virology. 396(2). 329–338. 14 indexed citations
6.
Delagrave, Simon, Zhenxi Zhang, Nathan Brown, et al.. (2007). A single M protein mutation affects the acid inactivation threshold and growth kinetics of a chimeric flavivirus. Virology. 362(2). 468–474. 13 indexed citations
7.
Пугачев, К. В., Julia Schwaiger, Nathan Brown, et al.. (2007). Construction and biological characterization of artificial recombinants between a wild type flavivirus (Kunjin) and a live chimeric flavivirus vaccine (ChimeriVax-JE). Vaccine. 25(37-38). 6661–6671. 10 indexed citations
8.
Пугачев, К. В., Farshad Guirakhoo, & Thomas P. Monath. (2005). New developments in flavivirus vaccines with special attention to yellow fever. Current Opinion in Infectious Diseases. 18(5). 387–394. 59 indexed citations
9.
Weltzin, Richard, Jian Liu, К. В. Пугачев, et al.. (2003). Clonal vaccinia virus grown in cell culture as a new smallpox vaccine. Nature Medicine. 9(9). 1125–1130. 118 indexed citations
10.
11.
Пугачев, К. В., et al.. (2002). Heterogeneous nature of the genome of the ARILVAX yellow fever 17D vaccine revealed by consensus sequencing. Vaccine. 20(7-8). 996–999. 31 indexed citations
12.
Galler, Ricardo, К. В. Пугачев, Cecília L. S. Santos, et al.. (2001). Phenotypic and Molecular Analyses of Yellow Fever 17DD Vaccine Viruses Associated with Serious Adverse Events in Brazil. Virology. 290(2). 309–319. 75 indexed citations
13.
Пугачев, К. В., Mark S. Galinski, & Teryl K. Frey. (2000). Infectious cDNA Clone of the RA27/3 Vaccine Strain of Rubella Virus. Virology. 273(1). 189–197. 19 indexed citations
14.
Пугачев, К. В. & Teryl K. Frey. (1998). Rubella Virus Induces Apoptosis in Culture Cells. Virology. 250(2). 359–370. 52 indexed citations
15.
Пугачев, К. В., Emily Abernathy, & Teryl K. Frey. (1997). Genomic sequence of the RAff27/3 vaccine strainof rubella virus. Archives of Virology. 142(6). 1165–1180. 32 indexed citations
16.
Пугачев, К. В., Peter W. Mason, & Teryl K. Frey. (1995). Sindbis Vectors Suppress Secretion of Subviral Particles of Japanese Encephalitis Virus from Mammalian Cells Infected with SIN-JEV Recombinants. Virology. 209(1). 155–166. 22 indexed citations
17.
Пугачев, К. В., Peter W. Mason, Robert E. Shope, & Teryl K. Frey. (1995). Double-Subgenomic Sindbis Virus Recombinants Expressing Immunogenic Proteins of Japanese Encephalitis Virus Induce Significant Protection in Mice against Lethal JEV Infection. Virology. 212(2). 587–594. 77 indexed citations
18.
Пугачев, К. В., et al.. (1993). Site‐directed mutagenesis of the tick‐borne encephalitis virus NS3 gene reveals the putative serine protease domain of the NS3 protein. FEBS Letters. 328(1-2). 115–118. 12 indexed citations
19.
20.
Пугачев, К. В., et al.. (1992). A short form of the tick‐borne encephalitis virus NS3 protein. FEBS Letters. 297(1-2). 67–69. 10 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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