Ian Wright Pray

46 papers receiving 2.6k citations

Ian Wright Pray's Hit Papers

Pulmonary Illness Related to E-Cigarette Use in Illinois and Wisconsin — Final Report 2019 · 672 citations
6720+2+4Years since publication200400600

Peers

Ian Wright Pray
Comparison fields: 5 of 142
  • Modeling and Simulation 308
  • Infectious Diseases 704
  • Physiology 649
  • Emergency Medicine 140
  • Pulmonary and Respiratory Medicine 437
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Countries citing papers authored by Ian Wright Pray

Since Specialization
Citations

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

Fields of papers citing papers by Ian Wright Pray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Wright Pray. 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 Ian Wright Pray. The network helps show where Ian Wright Pray may publish in the future.

Co-authors

The 25 scholars most cited alongside Ian Wright Pray, 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 Ian Wright Pray Line = papers co-authored together Ian Wright Pray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pulmonary Illness Related to E-Cigarette Use in Illinois and Wisconsin — Final Report
Hit paper breakdown →
2019672
2 2020279
3 2020205
4 2020201
5 2019145
6 2020109
7 202294
8 201993
9 202090
10 202084
11 201979
12 202078
13 202170
14 202046
15 202044
16 202138
17 202136
18 202026
19 201724
20 201624

About Ian Wright Pray

Ian Wright Pray is a scholar working on Modeling and Simulation, Pathology and Forensic Medicine, Infectious Diseases, Clinical Psychology and Physiology, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (13 papers), COVID-19 epidemiological studies (9 papers), SARS-CoV-2 detection and testing (9 papers), COVID-19 and Mental Health (6 papers), Congenital Anomalies and Fetal Surgery (5 papers), Smoking Behavior and Cessation (5 papers), Climate Change, Adaptation, Migration (4 papers) and Infection Control and Ventilation (3 papers). The work is most often cited by research in Modeling and Simulation (308 citations), Infectious Diseases (704 citations), Physiology (649 citations), Emergency Medicine (140 citations) and Pulmonary and Respiratory Medicine (437 citations). Ian Wright Pray has collaborated with scholars based in United States, Peru and United Kingdom. Frequent co-authors include Jonathan G. Meiman, Mark W. Tenforde, Lori Saathoff-Huber, Jennifer E. Layden, Mark R. Layer, Anne A. Kimball, Livia Navon, Brooke Hoots, Isaac Ghinai and Phillip P. Salvatore. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Clinical Infectious Diseases, PLoS neglected tropical diseases, Parasites & Vectors and American Journal of Tropical Medicine and Hygiene.

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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