Stephen J. Dunn

18 total papers · 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 Vector-Borne Animal Diseases (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 Vector-Borne Animal Diseases (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. L. Stott and M. C. Thurmond 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen J. Dunn 423 253 195 100 80 17 517
Günter Hess 275 0.7× 169 0.7× 125 0.6× 70 0.7× 86 1.1× 16 551
Samuel Miño 312 0.7× 155 0.6× 193 1.0× 62 0.6× 91 1.1× 28 471
Fernando Moliní Fernández 304 0.7× 259 1.0× 168 0.9× 111 1.1× 149 1.9× 20 533
Elena Canelli 391 0.9× 149 0.6× 299 1.5× 57 0.6× 97 1.2× 28 569
Sumiyo Hasegawa 511 1.2× 255 1.0× 143 0.7× 55 0.6× 69 0.9× 22 616
Werner Eichhorn 366 0.9× 151 0.6× 233 1.2× 82 0.8× 37 0.5× 35 474
Kuniko Shinozaki 348 0.8× 213 0.8× 161 0.8× 14 0.1× 56 0.7× 12 501
Mineyuki Okada 290 0.7× 175 0.7× 136 0.7× 15 0.1× 65 0.8× 12 495
Daniela Gelmetti 187 0.4× 92 0.4× 116 0.6× 36 0.4× 71 0.9× 34 552
Kerlei Cristina Médici 227 0.5× 128 0.5× 152 0.8× 136 1.4× 153 1.9× 19 472

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

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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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