Ting‐Wei Lee

28 papers receiving 547 citations

Peers

Ting‐Wei Lee
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 180
  • Endocrinology, Diabetes and Metabolism 128
  • Clinical Biochemistry 42
  • Physiology 116
  • Molecular Biology 223
Replace Kathryn M. Spitler with:
Kathryn M. Spitler United States
Yun Ti China
Abdolrahim Nikzamir Iran
Mélanie Roy Canada
Jiaqing Shao China
Yoshinori Tsuchiyama Japan
Wanting Shi China
Huimin Xian China
Weijin Fang China
Sarada Charugundla United States
Ting‐Wei Lee relative to Kathryn M. Spitler United States Kathryn M. Spitler's profile →
Citations per field
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Kathryn M. Spitler · 1×
Citations per year

Countries citing papers authored by Ting‐Wei Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Wei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201453
3 201843
4 202142
5 201532
6 201931
7 202126
8 202324
9 202122
10 202021
11 201718
12 202215
13 202215
14 202215
15 201712
16 201712
17 201911
18 202211
19 201210
20 20239

About Ting‐Wei Lee

Ting‐Wei Lee is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Neurology, having authored 29 papers that have together received 552 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Advanced Glycation End Products research (4 papers), Adipose Tissue and Metabolism (4 papers), Diet and metabolism studies (4 papers), Diet, Metabolism, and Disease (3 papers), Vitamin D Research Studies (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (180 citations), Endocrinology, Diabetes and Metabolism (128 citations), Clinical Biochemistry (42 citations), Physiology (116 citations) and Molecular Biology (223 citations). Ting‐Wei Lee has collaborated with scholars based in Taiwan, Japan and Vietnam. Frequent co-authors include Yu‐Hsun Kao, Ting-I Lee, Yi‐Jen Chen, Tze‐Fan Chao, Yi‐Jen Chen, Wanli Cheng, Ting-I Lee, Cheng‐Chih Chung, Kuan-Jen Bai and Gi‐Shih Lien. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biomedical Science, Cells, Cellular and Molecular Life Sciences and European Journal of Clinical Investigation.

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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