Ron Plishka

863 total citations
10 papers, 711 citations indexed

About

Ron Plishka is a scholar working on Virology, Immunology and Epidemiology. According to data from OpenAlex, Ron Plishka has authored 10 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 5 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Ron Plishka's work include HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (4 papers) and Herpesvirus Infections and Treatments (3 papers). Ron Plishka is often cited by papers focused on HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (4 papers) and Herpesvirus Infections and Treatments (3 papers). Ron Plishka collaborates with scholars based in United States. Ron Plishka's co-authors include Alicia Buckler‐White, Eri Miyagi, Klaus Strebel, Sandra Kao, Mohammad A. Khan, Tatsuhiko Igarashi, Reza Sadjadpour, Yoshiaki Nishimura, Nancy L. Haigwood and Charles E. Buckler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Ron Plishka

10 papers receiving 698 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron Plishka United States 9 629 343 293 235 152 10 711
I W Park United States 6 669 1.1× 369 1.1× 304 1.0× 238 1.0× 161 1.1× 7 787
Carolina Garrido United States 13 554 0.9× 355 1.0× 289 1.0× 213 0.9× 157 1.0× 20 770
Takeo Kuwata Japan 20 803 1.3× 423 1.2× 371 1.3× 327 1.4× 115 0.8× 80 941
Jin Tao Zhou United States 7 668 1.1× 453 1.3× 317 1.1× 190 0.8× 92 0.6× 7 792
Tavis D. Steenbeke United States 12 546 0.9× 450 1.3× 199 0.7× 130 0.6× 144 0.9× 13 705
Silvia Broersen Netherlands 13 851 1.4× 392 1.1× 516 1.8× 154 0.7× 132 0.9× 15 930
Vicky Coalter United States 10 575 0.9× 360 1.0× 238 0.8× 203 0.9× 83 0.5× 10 684
Caroline Quillent France 8 629 1.0× 299 0.9× 346 1.2× 154 0.7× 116 0.8× 10 695
Björn D. Kuhl Canada 13 680 1.1× 460 1.3× 357 1.2× 167 0.7× 192 1.3× 14 896
S Conley United States 8 463 0.7× 199 0.6× 244 0.8× 124 0.5× 120 0.8× 9 553

Countries citing papers authored by Ron Plishka

Since Specialization
Citations

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

Fields of papers citing papers by Ron Plishka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron Plishka. 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 Ron Plishka. The network helps show where Ron Plishka may publish in the future.

Co-authorship network of co-authors of Ron Plishka

This figure shows the co-authorship network connecting the top 25 collaborators of Ron Plishka. A scholar is included among the top collaborators of Ron Plishka 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 Ron Plishka. Ron Plishka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Takeuchi, Hiroaki, Sandra Kao, Eri Miyagi, et al.. (2004). Production of Infectious SIVagm from Human Cells Requires Functional Inactivation but Not Viral Exclusion of Human APOBEC3G. Journal of Biological Chemistry. 280(1). 375–382. 20 indexed citations
3.
Lafont, Bernard A. P., Alicia Buckler‐White, Ron Plishka, Charles E. Buckler, & Malcolm A. Martin. (2004). Pig-tailed macaques (Macaca nemestrina) possess six MHC-E families that are conserved among macaque species: implication for their binding to natural killer receptor variants. Immunogenetics. 56(3). 142–154. 15 indexed citations
4.
Lafont, Bernard A. P., Alicia Buckler‐White, Ron Plishka, Charles E. Buckler, & Malcolm A. Martin. (2003). Characterization of Pig-Tailed Macaque Classical MHC Class I Genes: Implications for MHC Evolution and Antigen Presentation in Macaques. The Journal of Immunology. 171(2). 875–885. 27 indexed citations
5.
Nishimura, Yoshiaki, Tatsuhiko Igarashi, Nancy L. Haigwood, et al.. (2003). Transfer of neutralizing IgG to macaques 6 h but not 24 h after SHIV infection confers sterilizing protection: Implications for HIV-1 vaccine development. Proceedings of the National Academy of Sciences. 100(25). 15131–15136. 101 indexed citations
6.
Kao, Sandra, Mohammad A. Khan, Eri Miyagi, et al.. (2003). The Human Immunodeficiency Virus Type 1 Vif Protein Reduces Intracellular Expression and Inhibits Packaging of APOBEC3G (CEM15), a Cellular Inhibitor of Virus Infectivity. Journal of Virology. 77(21). 11398–11407. 255 indexed citations
7.
8.
9.
Igarashi, Tatsuhiko, Yasuyuki Endo, G Englund, et al.. (1999). Emergence of a highly pathogenic simian/human immunodeficiency virus in a rhesus macaque treated with anti-CD8 mAb during a primary infection with a nonpathogenic virus. Proceedings of the National Academy of Sciences. 96(24). 14049–14054. 66 indexed citations
10.
Natarajan, Ven, et al.. (1994). An internally controlled virion PCR for the measurement of HIV-1 RNA in plasma.. Genome Research. 3(6). 346–350. 11 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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