Ting-I Lee

828 citations
33 papers · 572 · h-index 13

Impact in

Papers in

Ting-I Lee

32 papers receiving 567 citations

Peers

Ting-I Lee
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 112
  • Cardiology and Cardiovascular Medicine 142
  • Nephrology 26
  • Clinical Biochemistry 22
  • Physiology 81
Replace Sharon L.R. Kardia with:
Sharon L.R. Kardia United States
Jia Zhang China
Shali Zhang United States
Yingying Sun China
D. C. Rao United States
Zhigang Guo China
Michael Walter Germany
Xizhu Wang China
Emily J. Cox United States
Yuanhui Hu China
Ting-I Lee relative to Sharon L.R. Kardia United States Sharon L.R. Kardia's profile →
Citations per field
00.5×3.6×
Sharon L.R. Kardia · 1×
Citations per year

Countries citing papers authored by Ting-I Lee

Since Specialization
Citations

This map shows the geographic impact of Ting-I 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-I 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-I Lee more than expected).

Fields of papers citing papers by Ting-I Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 202056
3 201455
4 202244
5 202143
6 201533
7 201630
8 202126
9 202123
10 201421
11 201718
12 202215
13 202212
14 202312
15 202410
16
Development and evaluation of an integrated patient-oriented education management system for diabetes.
200610
17 20239
18 20248
19 20186
20 20225

About Ting-I Lee

Ting-I Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 33 papers that have together received 572 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Diet and metabolism studies (4 papers), Urban Green Space and Health (3 papers), Diet, Metabolism, and Disease (3 papers), Vitamin D Research Studies (3 papers), Vitamin C and Antioxidants Research (2 papers), Diabetes Management and Research (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (112 citations), Cardiology and Cardiovascular Medicine (142 citations), Nephrology (26 citations), Clinical Biochemistry (22 citations) and Physiology (81 citations). Ting-I Lee has collaborated with scholars based in Taiwan, Japan and Vietnam. Frequent co-authors include Yu‐Hsun Kao, Ting‐Wei Lee, Yi‐Jen Chen, Tze‐Fan Chao, Yi‐Jen Chen, Kuan-Jen Bai, Cheng‐Chih Chung, Yen‐Ching Chuang, Huai-Wei Lo and Gi‐Shih Lien. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biomedical Science, International Journal of Cardiology, Journal of Medical Internet Research and Journal of Personalized Medicine.

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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