Stephen Petrie

540 citations
20 papers · 389 · h-index 8

Impact in

Papers in

Stephen Petrie

18 papers receiving 381 citations

Peers

Stephen Petrie
Comparison fields: 5 of 65
  • Modeling and Simulation 69
  • Epidemiology 311
  • Infectious Diseases 92
  • Immunology 83
  • Agronomy and Crop Science 38
Replace Teagan Guarnaccia with:
Teagan Guarnaccia Australia
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Malet Aban Australia
Han-hua Fang China
Iris A. de Bruijn Netherlands
Samuel Wilks United Kingdom
Juan Ledesma Spain
Adriana Cervantes-Medina United States
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Tian Bai China
Stephen Petrie relative to Teagan Guarnaccia Australia Teagan Guarnaccia's profile →
Citations per field
00.5×1.5×
Teagan Guarnaccia · 1×
Citations per year

Countries citing papers authored by Stephen Petrie

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Petrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Petrie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Petrie Line = papers co-authored together Stephen Petrie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2014103
2 201583
3 201367
4 201546
5 201327
6 201519
7 197711
8 19787
9 20135
10 19785
11 20204
12
The time-interval between infections and viral hierarchies are determinants of viral interference following influenza virus infection in a ferret model
20163
13 20243
14 20192
15 20231
16 20241
17 20231
18 19791
19 20240
20 20240

About Stephen Petrie

Stephen Petrie is a scholar working on Epidemiology, Polymers and Plastics, Mechanics of Materials, Agronomy and Crop Science and Molecular Biology, having authored 20 papers that have together received 389 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (5 papers), Animal Disease Management and Epidemiology (3 papers), Polymer crystallization and properties (3 papers), Material Properties and Processing (3 papers), Neuroscience and Neural Engineering (2 papers), COVID-19 epidemiological studies (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Modeling and Simulation (69 citations), Epidemiology (311 citations), Infectious Diseases (92 citations), Immunology (83 citations) and Agronomy and Crop Science (38 citations). Stephen Petrie has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Jodie McVernon, James M. McCaw, Teagan Guarnaccia, Ian Barr, Anne Kelso, Karen Laurie, Aeron C. Hurt, Louise Carolan, Sebastian Maurer‐Stroh and Jennifer Mosse. Their work appears in journals such as Journal of Materials Science, PLoS Pathogens, PLoS ONE, European Journal of Immunology and Journal of Applied Polymer Science.

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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