K.W. STAPLETON

933 citations
22 papers · 738 · h-index 15

Impact in

Papers in

K.W. STAPLETON

21 papers receiving 678 citations

Peers

K.W. STAPLETON
Comparison fields: 5 of 81
  • Pulmonary and Respiratory Medicine 587
  • Ocean Engineering 170
  • Pharmaceutical Science 41
  • Computational Mechanics 88
  • Health, Toxicology and Mutagenesis 59
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Xiuhua Si United States
Laleh Golshahi United States
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Jakub Elcner Czechia
Stephen W. Stein United States
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Citations per field
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Citations per year

Countries citing papers authored by K.W. STAPLETON

Since Specialization
Citations

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

Fields of papers citing papers by K.W. STAPLETON

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.W. STAPLETON. 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 K.W. STAPLETON. The network helps show where K.W. STAPLETON may publish in the future.

Co-authors

The 19 scholars most cited alongside K.W. STAPLETON, 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 K.W. STAPLETON Line = papers co-authored together K.W. STAPLETON links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000259
2 199563
3 199956
4 201951
5 199644
6 199738
7 201332
8 199431
9 199527
10 199825
11 199520
12 199620
13 199717
14 199814
15 199714
16 199512
17 20244
18 20094
19 20224
20 19982

About K.W. STAPLETON

K.W. STAPLETON is a scholar working on Pulmonary and Respiratory Medicine, Ocean Engineering, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Computational Mechanics, having authored 22 papers that have together received 738 indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (16 papers), Particle Dynamics in Fluid Flows (9 papers), Infection Control and Ventilation (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers), Air Quality and Health Impacts (3 papers), Advanced Chemical Sensor Technologies (2 papers), Electron and X-Ray Spectroscopy Techniques (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (587 citations), Ocean Engineering (170 citations), Pharmaceutical Science (41 citations), Computational Mechanics (88 citations) and Health, Toxicology and Mutagenesis (59 citations). K.W. STAPLETON has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Warren H. Finlay, Igor Gonda, Hak‐Kim Chan, Kristin E. Day, John R. Dean, John D. Perry, Lian J. Pennings, Matthew Zimmerman, Thomas Hofmann and Diane Ordway. Their work appears in journals such as Journal of Aerosol Science, Journal of Aerosol Medicine and Pulmonary Drug Delivery, Microscopy, International Journal of Pharmaceutics and Particulate Science And Technology.

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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