Stephen J. Dunn

609 total citations
17 papers, 517 citations indexed

About

Stephen J. Dunn is a scholar working on Infectious Diseases, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Stephen J. Dunn has authored 17 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 8 papers in Genetics and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Stephen J. Dunn's work include Viral gastroenteritis research and epidemiology (8 papers), Virus-based gene therapy research (8 papers) and Animal Disease Management and Epidemiology (6 papers). Stephen J. Dunn is often cited by papers focused on Viral gastroenteritis research and epidemiology (8 papers), Virus-based gene therapy research (8 papers) and Animal Disease Management and Epidemiology (6 papers). Stephen J. Dunn collaborates with scholars based in United States, France and Italy. Stephen J. Dunn's co-authors include Harry B. Greenberg, C. Durga Rao, Manjula Das, G. N. Woode, Jeffrey L. Stott, Bennie I. Osburn, John W. Burns, Phuoc T. Vo, M. C. Thurmond and M. L. Stott and has published in prestigious journals such as Journal of Clinical Microbiology, Virology and Journal of General Virology.

In The Last Decade

Stephen J. Dunn

17 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen J. Dunn United States 13 425 253 195 100 80 17 517
Samuel Miño Argentina 15 322 0.8× 160 0.6× 194 1.0× 62 0.6× 92 1.1× 29 477
Luis Padilla-Noriega Mexico 14 496 1.2× 269 1.1× 236 1.2× 23 0.2× 11 0.1× 33 606
Kerlei Cristina Médici Brazil 11 228 0.5× 128 0.5× 152 0.8× 136 1.4× 154 1.9× 19 475
Takaaki Sugimura Japan 11 190 0.4× 64 0.3× 139 0.7× 36 0.4× 99 1.2× 37 361
Shane D. Trask United States 11 626 1.5× 351 1.4× 373 1.9× 32 0.3× 11 0.1× 15 708
Akira Sasagawa Japan 14 176 0.4× 150 0.6× 64 0.3× 163 1.6× 192 2.4× 25 536
Takahiro Kawagishi Japan 12 475 1.1× 218 0.9× 263 1.3× 35 0.3× 20 0.3× 29 527
Zaberezhnyĭ Ad Russia 12 196 0.5× 88 0.3× 185 0.9× 42 0.4× 110 1.4× 48 373
Christopher Barone United States 8 407 1.0× 221 0.9× 224 1.1× 19 0.2× 8 0.1× 9 445
Cheik Coulibaly Germany 10 126 0.3× 76 0.3× 62 0.3× 93 0.9× 184 2.3× 15 464

Countries citing papers authored by Stephen J. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Dunn. 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 Stephen J. Dunn. The network helps show where Stephen J. Dunn may publish in the future.

Co-authorship network of co-authors of Stephen J. Dunn

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

All Works

17 of 17 papers shown
1.
Dunn, Stephen J., Imran Khan, Amber M. Paul, et al.. (2004). Identification of cell surface targets for HIV-1 therapeutics using genetic screens. Virology. 321(2). 260–273. 18 indexed citations
2.
Dunn, Stephen J., et al.. (1999). Isolation of efficient antivirals: genetic suppressor elements against HIV-1. Gene Therapy. 6(1). 130–137. 13 indexed citations
3.
Padilla-Noriega, Luis, Stephen J. Dunn, Susana López, Harry B. Greenberg, & Carlos F. Arias. (1995). Identification of two independent neutralization domains on the VP4 trypsin cleavage products VP5* and VP8* of human rotavirus ST3. Virology. 206(1). 148–154. 43 indexed citations
4.
Dunn, Stephen J., et al.. (1995). Immunogenicity, antigenicity, and protection efficacy of baculovirus expressed VP4 trypsin cleavage products, VP5(1)* and VP8* from rhesus rotavirus. Archives of Virology. 140(11). 1969–1978. 23 indexed citations
5.
Fiore, Lucia, Stephen J. Dunn, Barbara Ridolfi, et al.. (1995). Antigenicity, immunogenicity and passive protection induced by immunization of mice with baculovirus-expressed VP7 protein from rhesus rotavirus. Journal of General Virology. 76(8). 1981–1988. 18 indexed citations
6.
7.
Dunn, Stephen J., John W. Burns, Phuoc T. Vo, et al.. (1994). Comparison of VP4 and VP7 of Five Murine Rotavirus Strains. Virology. 203(2). 250–259. 32 indexed citations
8.
Das, Manjula, Stephen J. Dunn, G. N. Woode, Harry B. Greenberg, & C. Durga Rao. (1993). Both Surface Proteins (VP4 and VP7) of an Asymptomatic Neonatal Rotavirus Strain (1321) Have High Levels of Sequence Identity with the Homologous Proteins of a Serotype 10 Bovine Rotavirus. Virology. 194(1). 374–379. 101 indexed citations
9.
10.
Dunn, Stephen J., Harry B. Greenberg, Robyn L. Ward, et al.. (1993). Serotypic and genotypic characterization of human serotype 10 rotaviruses from asymptomatic neonates. Journal of Clinical Microbiology. 31(1). 165–169. 77 indexed citations
11.
Wong, Johnson T., Joseph V. Bonventre, Stephen J. Dunn, & Robert B. Colvin. (1992). Comparative studies of isolated CD3: CD8, CD3: CD3, and monovalent CD3 binding on CD8+ T-cell activation: Model of progressive T-cell receptor aggregation synergism. Human Immunology. 35(3). 200–208. 2 indexed citations
12.
Stott, M. L., M. C. Thurmond, Stephen J. Dunn, Bennie I. Osburn, & Jeffrey L. Stott. (1991). Integrated bovine leukosis proviral DNA in T helper and T cytotoxic/suppressor lymphocytes. Journal of General Virology. 72(2). 307–315. 50 indexed citations
13.
Dunn, Stephen J., David S. Hsu, Y. C. Zee, & Jeffrey L. Stott. (1991). Complete nucleotide and deduced amino acid sequence of genome segment 5 encoding the outer capsid protein, VP5, of a U.S. isolate of bluetongue virus serotype 11. Virus Research. 21(2). 155–162. 3 indexed citations
14.
Dunn, Stephen J. & Jeffrey L. Stott. (1989). Identification of genetic variation between strains of bluetongue virus serotype 11 using cDNA probes. Virology. 170(2). 579–582. 5 indexed citations
15.
Dunn, Stephen J., Richard D. Oberst, Jeffrey L. Stott, & Bennie I. Osburn. (1989). Molecular cloning of serogroup- and serotype-specific genome segments from bluetongue virus serotype 11. American Journal of Veterinary Research. 50(10). 1684–1689. 4 indexed citations
16.
Dangler, Charles A., Stephen J. Dunn, Kevin Squire, Jeffrey L. Stott, & Bennie I. Osburn. (1988). Rapid identification of bluetongue virus by nucleic acid hybridization in solution. Journal of Virological Methods. 20(4). 353–365. 13 indexed citations
17.
Squire, Kevin, Ronald Y. Chuang, Stephen J. Dunn, et al.. (1986). Multiple bluetongue virus-cloned genetic probes: Application to diagnostics and bluetongue virus genetic relationships. American Journal of Veterinary Research. 47(8). 1785–1788. 19 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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