Shu-An Lee

1.5k citations
22 papers · 1.2k · h-index 14

Impact in

Papers in

Shu-An Lee

20 papers receiving 1.2k citations

Peers

Shu-An Lee
Comparison fields: 5 of 121
  • Health, Toxicology and Mutagenesis 539
  • Process Chemistry and Technology 100
  • General Dentistry 43
  • Pulmonary and Respiratory Medicine 598
  • Modeling and Simulation 76
Replace Mika Toivola with:
Mika Toivola United States
Roy T. McKay United States
Brian Crook United Kingdom
Jean Donnelly United States
Sadegh Niazi Australia
Chih-Shan Li Taiwan
Byung Uk Lee South Korea
Jimmy Walker United Kingdom
M.W. First United States
Louise A. Fletcher United Kingdom
Shu-An Lee relative to Mika Toivola United States Mika Toivola's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shu-An Lee

Since Specialization
Citations

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

Fields of papers citing papers by Shu-An Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-An Lee. 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 Shu-An Lee. The network helps show where Shu-An Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Shu-An Lee, 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 Shu-An Lee Line = papers co-authored together Shu-An Lee 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 2009284
2 2008194
3 2006150
4 2016102
5 201598
6 200284
7 200561
8
Assessment of human exposure to airborne fungi in agricultural confinements: personal inhalable sampling versus stationary sampling.
200445
9 200441
10 201340
11 200731
12 202017
13 200816
14 199814
15 202013
16 200410
17 20217
18 20176
19 20231
20 20041

About Shu-An Lee

Shu-An Lee is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Oncology, Epidemiology and Molecular Biology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Infection Control and Ventilation (12 papers), Indoor Air Quality and Microbial Exposure (11 papers), Air Quality and Health Impacts (8 papers), Burn Injury Management and Outcomes (3 papers), COVID-19 and healthcare impacts (3 papers), Bacillus and Francisella bacterial research (2 papers), Odor and Emission Control Technologies (2 papers) and Occupational exposure and asthma (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (539 citations), Process Chemistry and Technology (100 citations), General Dentistry (43 citations), Pulmonary and Respiratory Medicine (598 citations) and Modeling and Simulation (76 citations). Shu-An Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tiina Reponen, Sergey A. Grinshpun, Roy T. McKay, Atin Adhikari, Robert M. Eninger, Rakesh Shukla, Klaus Willeke, Gediminas Mainelis, Jen‐Kun Chen and Heyi Li. Their work appears in journals such as Aerosol and Air Quality Research, Applied Sciences, Bulletin of Environmental Contamination and Toxicology, Polymers and Journal of Aerosol 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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