Wan Lee

3.3k citations
119 papers · 2.7k indexed · h-index 31

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Metabolism, Diabetes, and Cancer
    • Extracellular vesicles in disease

Papers in

    • MicroRNA in disease regulation 24
    • Cancer-related molecular mechanisms research 15
    • Metabolism, Diabetes, and Cancer 25
    • Muscle Physiology and Disorders 13
    • Circular RNAs in diseases 10
    • RNA Research and Splicing 8

Wan Lee

113 papers receiving 2.6k citations

Peers

Wan Lee
Comparison fields: 5 of 124
  • Cancer Research 864
  • Molecular Biology 1.5k
  • Physiology 457
  • Aging 22
  • Cell Biology 176
Replace Assunta Pandolfi with:
Assunta Pandolfi Italy
Farhad R. Danesh United States
Janja Marc Slovenia
M.J. López-Armada Spain
Murugavel Ponnusamy China
M. Ruhul Abid United States
Rie Matsushima‐Nishiwaki Japan
Jung Ok Lee South Korea
Jakub Rohlena Czechia
Ajit Vikram India
Wan Lee relative to Assunta Pandolfi Italy Assunta Pandolfi's profile →
Citations per field
00.5×1.5×2.1×
Assunta Pandolfi · 1×
Citations per year

Countries citing papers authored by Wan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017181
2 1996136
3 2011128
4 2005121
5 200394
6 200989
7 201484
8 201481
9 201574
10 201462
11 201256
12 201056
13 200454
14 200854
15 200553
16 201652
17 201047
18 200745
19 201141
20 201140

About Wan Lee

Wan Lee is a scholar working on Cancer Research, Molecular Biology, Urology, Physiology and Cell Biology, having authored 119 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (25 papers), MicroRNA in disease regulation (24 papers), Adipose Tissue and Metabolism (18 papers), Cancer-related molecular mechanisms research (15 papers), Pancreatic function and diabetes (13 papers), Muscle Physiology and Disorders (13 papers), Circular RNAs in diseases (10 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Cancer Research (864 citations), Molecular Biology (1.5k citations), Physiology (457 citations), Aging (22 citations) and Cell Biology (176 citations). Wan Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seung‐Yoon Park, Won‐Mo Yang, Jiwon Ryu, Hyo‐Jin Jeong, Chan Y. Jung, Jiřı́ Neužil, Lory Santarelli, Marco Tomasetti, Seung Yeon Park and Mi Jin Kim. Their work appears in journals such as Biochemical and Biophysical Research Communications, Data in Brief, Journal of Biological Chemistry, International Journal of Molecular Sciences and Cells.

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