Dale Purych

787 citations
14 papers · 589 indexed · h-index 10
Topics
Influenza Virus Research Studies (7 papers)COVID-19 epidemiological studies (4 papers)Respiratory viral infections research (3 papers)
Partner nations
Canada

In The Last Decade

Dale Purych

13 papers receiving 575 citations

Peers

Dale Purych
Comparison fields: 5 of 62
  • Epidemiology 348
  • Surgery 173
  • Small Animals 138
  • Infectious Diseases 126
  • Agronomy and Crop Science 82
Replace Iris W. S. Li with:
Iris W. S. Li Hong Kong
Seyyed Hamid Hashemi Iran
Sahar Althawadi Saudi Arabia
Çigdem Ataman Hatipoğlu Türkiye
Gary E. Hollick United States
C. Paul Morris United States
Ana Verena Almeida Mendes Brazil
Richard W. Douce United States
Stefania Ranno Italy
Semra Kurutepe Türkiye
Dale Purych relative to Iris W. S. Li Hong Kong Iris W. S. Li's profile →
Citations per field
00.5×5.8×
Iris W. S. Li · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 0
2 8
3
Avian Influenza A(H7N9) Virus Infection in 2 Travelers Returning from China to Canada
9
4 5
5 30
6 27
7 15
8 16
9 71
10 37
11 82
12 44
13 46
14 199

About Dale Purych

Dale Purych is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Epidemiology, having authored 14 papers that have together received 589 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), COVID-19 epidemiological studies (4 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (41 citations), Small Animals (138 citations) and Modeling and Simulation (60 citations). Dale Purych has collaborated with scholars based in Canada. Frequent co-authors include Diane E. Taylor, Zhongming Ge, K Hiratsuka, Danuta M. Skowronski, Naveed Z. Janjua, Suzana Sabaiduc, Gaston De Serres, Jennifer L. Gardy, David M. Patrick and Janet E. McElhaney. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

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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