Jayme P. Coyle

1.5k citations
30 papers · 1.0k · h-index 15

Impact in

Papers in

Jayme P. Coyle

30 papers receiving 992 citations

Peers

Jayme P. Coyle
Comparison fields: 5 of 123
  • Modeling and Simulation 123
  • Pulmonary and Respiratory Medicine 331
  • Health 60
  • Health, Toxicology and Mutagenesis 106
  • Infectious Diseases 122
Replace Tze-Wai Wong with:
Tze-Wai Wong Hong Kong
Zhengxiu Luo China
Ce Cheng United States
Jingchun Fan China
Hao Lei China
Lefei Han China
Hasini Perera Sri Lanka
Te Miao Hong Kong
Young-Joon Park South Korea
Jayme P. Coyle relative to Tze-Wai Wong Hong Kong Tze-Wai Wong's profile →
Citations per field
00.5×4.6×
Tze-Wai Wong · 1×
Citations per year

Countries citing papers authored by Jayme P. Coyle

Since Specialization
Citations

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

Fields of papers citing papers by Jayme P. Coyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayme P. Coyle. 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 Jayme P. Coyle. The network helps show where Jayme P. Coyle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020251
2 2017137
3 2021118
4 202096
5 202183
6 202061
7 202139
8 202034
9 202128
10 202128
11 202123
12 202215
13
COVID-19 Stats: COVID-19 Incidence, by Urban-Rural Classification — United States, January 22–October 31, 2020
202015
14 202014
15 202214
16 202114
17 202313
18 202210
19 20208
20 20198

About Jayme P. Coyle

Jayme P. Coyle is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Oncology, Modeling and Simulation and Molecular Biology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Infection Control and Ventilation (10 papers), COVID-19 epidemiological studies (5 papers), COVID-19 and healthcare impacts (5 papers), Air Quality and Health Impacts (3 papers), Occupational and environmental lung diseases (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Noise Effects and Management (2 papers) and Aerodynamics and Acoustics in Jet Flows (2 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Pulmonary and Respiratory Medicine (331 citations), Health (60 citations), Health, Toxicology and Mutagenesis (106 citations) and Infectious Diseases (122 citations). Jayme P. Coyle has collaborated with scholars based in United States, Thailand and France. Frequent co-authors include Raymond C. Derk, Françoise M. Blachère, Donald H. Beezhold, William G. Lindsley, Giffe T. Johnson, John D. Noti, Raymond D. Harbison, Robert J. Henning, John T. Brooks and Brendan R. Jackson. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Building and Environment, Integrated Environmental Assessment and Management, Particle and Fibre Toxicology and Regulatory Toxicology and Pharmacology.

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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