Ming-Tsung Lee

401 citations
25 papers · 255 · h-index 10

Impact in

Papers in

Ming-Tsung Lee

22 papers receiving 253 citations

Peers

Ming-Tsung Lee
Comparison fields: 5 of 79
  • Neurology 65
  • Applied Microbiology and Biotechnology 8
  • Reproductive Medicine 30
  • Molecular Medicine 17
  • Epidemiology 78
Replace L. G. Dale with:
L. G. Dale Norway
Miwako Saito Japan
Sezgin Etgül Türkiye
Hande Mefkure Özkaya Türkiye
Adriana Elena Nica Romania
Varvara A. Ryabkova Russia
R. Ionescu Romania
G Santangelo Italy
Gökhan Temeltaş Türkiye
Narendra Kotwal India
Ming-Tsung Lee relative to L. G. Dale Norway L. G. Dale's profile →
Citations per field
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L. G. Dale · 1×
Citations per year

Countries citing papers authored by Ming-Tsung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Tsung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201754
2 201525
3 201822
4 201721
5 202119
6 201719
7 201915
8 202113
9 201910
10 20229
11 20238
12 20217
13 20186
14 20065
15 20205
16 20215
17 20234
18 20214
19 20241
20 20241

About Ming-Tsung Lee

Ming-Tsung Lee is a scholar working on Surgery, Epidemiology, Physiology, Orthopedics and Sports Medicine and Molecular Biology, having authored 25 papers that have together received 255 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (4 papers), Ovarian function and disorders (3 papers), Hip and Femur Fractures (3 papers), Glaucoma and retinal disorders (2 papers), Asthma and respiratory diseases (2 papers), Meningioma and schwannoma management (2 papers), RNA modifications and cancer (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Neurology (65 citations), Applied Microbiology and Biotechnology (8 citations), Reproductive Medicine (30 citations), Molecular Medicine (17 citations) and Epidemiology (78 citations). Ming-Tsung Lee has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Cheng‐Siu Chang, Hsien‐Tang Tu, Cheng‐Wei Huang, Chun‐Yi Chuang, Chuanfu Huang, Wan‐Ting Liao, Hung‐Yu Lin, Cheng‐Li Lin, Jen‐Huai Chiang and Hung‐Rong Yen. Their work appears in journals such as International Journal of Medical Sciences, Journal of Clinical Medicine, Oncotarget, Journal of Personalized Medicine and Frontiers in Aging Neuroscience.

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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