Wan Lee
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- Metabolism, Diabetes, and Cancer
- Extracellular vesicles in disease
Papers in
-
- Metabolism, Diabetes, and Cancer 23
- Muscle Physiology and Disorders 13
- RNA Research and Splicing 10
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- MicroRNA in disease regulation 23
- Cancer-related molecular mechanisms research 13
- Co-authors
- Seung‐Yoon Park (17 shared papers)Won‐Mo Yang (15 shared papers)Jiwon Ryu (11 shared papers)Hyo‐Jin Jeong (5 shared papers)Chan Y. Jung (13 shared papers)Lory Santarelli (2 shared papers)Jiřı́ Neužil (2 shared papers)Marco Tomasetti (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (9 papers)Cells (6 papers)International Journal of Molecular Sciences (6 papers)Data in Brief (6 papers)Journal of Biological Chemistry (6 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Wan Lee
112 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 120
- Cancer Research 798
- Molecular Biology 1.4k
- Physiology 399
- Aging 22
- Cell Biology 173
Countries citing papers authored by Wan Lee
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
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.
All Works
Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 187 | |
| 2 | 1996 | 145 | |
| 3 | 2005 | 129 | |
| 4 | 2011 | 128 | |
| 5 | 2003 | 96 | |
| 6 | 2009 | 92 | |
| 7 | 2014 | 86 | |
| 8 | 2014 | 82 | |
| 9 | 2015 | 76 | |
| 10 | 2014 | 64 | |
| 11 | 2012 | 57 | |
| 12 | 2010 | 56 | |
| 13 | 2004 | 54 | |
| 14 | 2005 | 54 | |
| 15 | 2008 | 53 | |
| 16 | 2016 | 53 | |
| 17 | 2007 | 49 | |
| 18 | 2010 | 47 | |
| 19 | 2011 | 42 | |
| 20 | 2011 | 41 |
About Wan Lee
Wan Lee is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Physiology, having authored 121 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (23 papers), MicroRNA in disease regulation (23 papers), Adipose Tissue and Metabolism (17 papers), Muscle Physiology and Disorders (13 papers), Pancreatic function and diabetes (13 papers), Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (10 papers) and Hippo pathway signaling and YAP/TAZ (8 papers). The work is most often cited by research in Cancer Research (798 citations), Molecular Biology (1.4k citations), Physiology (399 citations), Aging (22 citations) and Cell Biology (173 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, Lory Santarelli, Jiřı́ Neužil, Marco Tomasetti, Seung Yeon Park and Mi Jin Kim. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cells, International Journal of Molecular Sciences, Data in Brief and Journal of Biological Chemistry.
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.