Liang-Ming Lee
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
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- Fibroblast Growth Factor Research 2
- Epigenetics and DNA Methylation 2
- Surgery 9
- Testicular diseases and treatments 3
- Bladder and Urothelial Cancer Treatments 2
- Co-authors
- Ming‐Hsien Chien (8 shared papers)Jennifer Hui‐Chun Ho (3 shared papers)Yu‐Ching Wen (5 shared papers)Shun‐Fa Yang (5 shared papers)Shuang‐En Chuang (5 shared papers)Gi‐Ming Lai (5 shared papers)Chih‐Jung Yao (5 shared papers)Wei-Jiunn Lee (4 shared papers)
- Journals
- Stem Cell Research & Therapy (3 papers)PLoS ONE (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)Oncology Reports (2 papers)Anticancer Research (2 papers)
- Partner nations
- TaiwanUnited StatesSweden
In The Last Decade
Liang-Ming Lee
35 papers receiving 653 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 106
- Reproductive Medicine 57
- Genetics 50
- Molecular Biology 288
- Rehabilitation 22
Countries citing papers authored by Liang-Ming Lee
This map shows the geographic impact of Liang-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 Liang-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 Liang-Ming Lee more than expected).
Fields of papers citing papers by Liang-Ming Lee
This network shows the impact of papers produced by Liang-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 Liang-Ming Lee. The network helps show where Liang-Ming Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang-Ming 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2015 | 61 | |
| 3 | 2016 | 55 | |
| 4 | 2013 | 44 | |
| 5 | 2019 | 43 | |
| 6 | 2015 | 30 | |
| 7 | 2013 | 30 | |
| 8 | 2014 | 26 | |
| 9 | 2011 | 24 | |
| 10 | 2006 | 23 | |
| 11 | 2012 | 20 | |
| 12 | 2003 | 19 | |
| 13 | 2015 | 18 | |
| 14 | 2013 | 18 | |
| 15 | 2002 | 17 | |
| 16 | 2007 | 17 | |
| 17 | 2014 | 15 | |
| 18 | 2008 | 15 | |
| 19 | 2012 | 13 | |
| 20 | 2020 | 13 |
About Liang-Ming Lee
Liang-Ming Lee is a scholar working on Molecular Biology, Surgery, Oncology, Urology and Epidemiology, having authored 36 papers that have together received 664 indexed citations. Recurring topics across this work include Testicular diseases and treatments (3 papers), Urologic and reproductive health conditions (2 papers), Lymphatic System and Diseases (2 papers), Fibroblast Growth Factor Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Nerve injury and regeneration (2 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Cancer Research (106 citations), Reproductive Medicine (57 citations), Genetics (50 citations), Molecular Biology (288 citations) and Rehabilitation (22 citations). Liang-Ming Lee has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Ming‐Hsien Chien, Jennifer Hui‐Chun Ho, Yu‐Ching Wen, Shun‐Fa Yang, Shuang‐En Chuang, Gi‐Ming Lai, Chih‐Jung Yao, Wei-Jiunn Lee, Peng Tan and Michael Hsiao. Their work appears in journals such as Stem Cell Research & Therapy, PLoS ONE, Evidence-based Complementary and Alternative Medicine, Oncology Reports and Anticancer Research.
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.