Wai-Ming Lee

30 papers receiving 2.4k citations

Peers

Wai-Ming Lee
Comparison fields: 5 of 97
  • Endocrinology 177
  • Infectious Diseases 555
  • Epidemiology 984
  • Cardiology and Cardiovascular Medicine 610
  • Emergency Medical Services 151
Replace C. T. Ranjith-Kumar with:
C. T. Ranjith-Kumar United States
Sukumar Pal United States
Tatyana V. Golovkina United States
Robert J. Hogan United States
Masayuki Shimojima Japan
Bronwyn M. Gunn United States
Chikara Aizawa Japan
Peter C. McMinn Australia
Reisaku Kono Japan
Daniella Castanheira Bartholomeu Brazil
Wai-Ming Lee relative to C. T. Ranjith-Kumar United States C. T. Ranjith-Kumar's profile →
Citations per field
00.5×7.2×
C. T. Ranjith-Kumar · 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-authors

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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003416
2 2007246
3 2005180
4 2011156
5 2004147
6 1993142
7 2007138
8 1997131
9 2001120
10 200397
11 200579
12 201476
13 200970
14 201269
15 199562
16 200258
17 200746
18 200842
19 201337
20 199835

About Wai-Ming Lee

Wai-Ming Lee is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Plant Science and Animal Science and Zoology, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Respiratory viral infections research (19 papers), Viral Infections and Immunology Research (13 papers), Viral gastroenteritis research and epidemiology (9 papers), Plant Virus Research Studies (7 papers), Animal Virus Infections Studies (5 papers), Bacteriophages and microbial interactions (4 papers), Asthma and respiratory diseases (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Endocrinology (177 citations), Infectious Diseases (555 citations), Epidemiology (984 citations), Cardiology and Cardiovascular Medicine (610 citations) and Emergency Medical Services (151 citations). Wai-Ming Lee has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Paul Ahlquist, James E. Gern, Amine Noueiry, Billy T. Dye, David Kushner, Roland R. Rueckert, Bogdan Jakieła, Michael Janda, Svetlana P. Amineva and Wensheng Wang. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology, American Journal of Respiratory and Critical Care Medicine, 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.

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