Wayne Lee

8.9k citations
240 papers · 6.6k · h-index 46

Impact in

Papers in

Wayne Lee

224 papers receiving 6.3k citations

Peers

Wayne Lee
Comparison fields: 5 of 199
  • Finance 643
  • Orthopedics and Sports Medicine 467
  • Accounting 699
  • Genetics 461
  • Complementary and alternative medicine 305
Replace William Grossman with:
William Grossman United States
Benjamin M. Segal United States
Charles Stuart United States
Jong‐Il Kim South Korea
Daniel F. Heitjan United States
Martin Schüler Germany
Andrew J. Brown Australia
TL Lee Hong Kong
Gautam Bandyopadhyay United States
Shuo Chen China
Wayne Lee relative to William Grossman United States William Grossman's profile →
Citations per field
00.5×8.4×
William Grossman · 1×
Citations per year

Countries citing papers authored by Wayne Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997254
2 2013189
3 2011183
4 2017167
5 1999160
6 1997140
7 2012137
8 2016121
9 2013117
10 2002106
11 202095
12 201789
13 201489
14 201889
15 201188
16 200984
17 201184
18 201681
19 200781
20 201078

About Wayne Lee

Wayne Lee is a scholar working on Molecular Biology, Surgery, Finance, Accounting and Genetics, having authored 240 papers that have together received 6.6k indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (24 papers), Financial Markets and Investment Strategies (22 papers), Corporate Finance and Governance (18 papers), Mesenchymal stem cell research (16 papers), Bone Metabolism and Diseases (15 papers), Bone health and osteoporosis research (12 papers), Osteoarthritis Treatment and Mechanisms (11 papers) and Banking stability, regulation, efficiency (10 papers). The work is most often cited by research in Finance (643 citations), Orthopedics and Sports Medicine (467 citations), Accounting (699 citations), Genetics (461 citations) and Complementary and alternative medicine (305 citations). Wayne Lee has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Gang Li, Michael E. Solt, Edward H. Chow, Bin Wang, Yunfeng Rui, John H.K. Yeung, Daniel C. Indro, Margot J. Taylor, Pauline Po Yee Lui and Sien Lin. Their work appears in journals such as Journal of Orthopaedic Translation, The Journal of Finance, Stem Cell Research & Therapy, The FASEB Journal and Phytomedicine.

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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