Dale Purych

20 total papers · 783 total citations
14 papers, 587 citations indexed

About

Dale Purych is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Dale Purych has authored 14 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Modeling and Simulation. Recurrent topics in Dale Purych's work include Influenza Virus Research Studies (7 papers), COVID-19 epidemiological studies (4 papers) and Respiratory viral infections research (3 papers). Dale Purych is often cited by papers focused on Influenza Virus Research Studies (7 papers), COVID-19 epidemiological studies (4 papers) and Respiratory viral infections research (3 papers). Dale Purych collaborates with scholars based in Canada. Dale Purych's co-authors include K Hiratsuka, Zhongming Ge, Diane E. Taylor, Danuta M. Skowronski, Naveed Z. Janjua, Gaston De Serres, Suzana Sabaiduc, Jennifer L. Gardy, David M. Patrick and M Petrić and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Dale Purych

13 papers receiving 571 citations

Author Peers

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

Author Last Decade Papers Cites
Dale Purych 348 172 138 126 82 14 587
Colette Mair 226 0.6× 42 0.2× 45 0.3× 186 1.5× 14 0.2× 10 585
Iris W. S. Li 415 1.2× 36 0.2× 24 0.2× 345 2.7× 33 0.4× 19 692
Viviana Sotomayor 223 0.6× 214 1.2× 29 0.2× 177 1.4× 16 0.2× 17 623
Carsten Henrik Wachmann 295 0.8× 129 0.8× 22 0.2× 332 2.6× 5 0.1× 11 557
Gary E. Hollick 405 1.2× 23 0.1× 18 0.1× 203 1.6× 13 0.2× 31 602
Grace Y. Minamoto 286 0.8× 95 0.6× 67 0.5× 229 1.8× 52 0.6× 20 528
Yu Mi Jo 438 1.3× 42 0.2× 9 0.1× 121 1.0× 24 0.3× 23 569
Charles J. Schleupner 288 0.8× 45 0.3× 24 0.2× 198 1.6× 5 0.1× 30 563
Ana Verena Almeida Mendes 309 0.9× 27 0.2× 25 0.2× 346 2.7× 4 0.0× 26 637
Somrak Chantra 548 1.6× 30 0.2× 6 0.0× 174 1.4× 26 0.3× 17 642

Countries citing papers authored by Dale Purych

Since Specialization
Citations

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

Fields of papers citing papers by Dale Purych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dale Purych

This figure shows the co-authorship network connecting the top 25 collaborators of Dale Purych. A scholar is included among the top collaborators of Dale Purych 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 Dale Purych. Dale Purych 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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