Wai-Ming Lee

3.0k citations
30 papers · 2.4k indexed · h-index 24

Wai-Ming Lee

29 papers receiving 2.3k citations

Peers

Wai-Ming Lee
Comparison fields: 5 of 102
  • Endocrinology 176
  • Infectious Diseases 600
  • Epidemiology 1.0k
  • Cardiology and Cardiovascular Medicine 641
  • Emergency Medical Services 185
Replace Isa K. Mushahwar with:
Isa K. Mushahwar United States
Sukumar Pal United States
Masayuki Shimojima Japan
Marcel Beld Netherlands
Florence Komurian-Pradel France
Tatyana V. Golovkina United States
Peter C. McMinn Australia
Sally A. Baylis Germany
Chikara Aizawa Japan
Bronwyn M. Gunn United States
Wai-Ming Lee relative to Isa K. Mushahwar United States Isa K. Mushahwar's profile →
Citations per field
00.5×2.9×
Isa K. Mushahwar · 1×
Citations per year

Countries citing papers authored by Wai-Ming Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wai-Ming Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202032
2 201476
3 20141
4 20145
5 201333
6 201264
7 2011146
8 201026
9 200842
10 2007227
11 2007132
12 200745
13 2005161
14 200577
15 2004142
16 200327
17 200255
18 1997125
19 199561
20 1993131

About Wai-Ming Lee

Wai-Ming Lee is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Emergency Medical Services, Infectious Diseases and Animal Science and Zoology, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Respiratory viral infections research (21 papers), Viral Infections and Immunology Research (13 papers), Viral gastroenteritis research and epidemiology (10 papers), Plant Virus Research Studies (7 papers), Animal Virus Infections Studies (5 papers), Bacteriophages and microbial interactions (4 papers), Pediatric health and respiratory diseases (4 papers) and Asthma and respiratory diseases (4 papers). The work is most often cited by research in Endocrinology (176 citations), Infectious Diseases (600 citations), Epidemiology (1.0k citations), Cardiology and Cardiovascular Medicine (641 citations) and Emergency Medical Services (185 citations). Wai-Ming Lee has collaborated with scholars based in United States, Switzerland and Slovakia. Frequent co-authors include Paul Ahlquist, James E. Gern, Amine Noueiry, David Kushner, Billy T. Dye, Roland R. Rueckert, Bogdan Jakieła, Wensheng Wang, Michael D. Schwartz and Michael Janda. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology, Structure, American Journal of Respiratory Cell and Molecular Biology and PLoS ONE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026