Bai‐Chin Lee

1.8k citations
52 papers · 1.3k indexed · h-index 21

Impact in

Papers in

Bai‐Chin Lee

50 papers receiving 1.2k citations

Peers

Bai‐Chin Lee
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 265
  • Nephrology 76
  • Endocrinology, Diabetes and Metabolism 165
  • Radiology, Nuclear Medicine and Imaging 175
  • Complementary and alternative medicine 51
Replace Katsuhiko Tsujioka with:
Katsuhiko Tsujioka Japan
Lang Li China
Johannes Hensen Germany
Yoichi Takami Japan
James E. Jordan United States
Kang Chen China
Janusz Siebert Poland
William A. Zamboni United States
Xiao Lu United States
Tomotaka Tanaka Japan
Bai‐Chin Lee relative to Katsuhiko Tsujioka Japan Katsuhiko Tsujioka's profile →
Citations per field
00.5×1.5×2.2×
Katsuhiko Tsujioka · 1×
Citations per year

Countries citing papers authored by Bai‐Chin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Bai‐Chin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20196
2 201720
3 201610
4 201165
5 201120
6 20116
7 201040
8 201012
9 20104
10 20107
11 201044
12 200929
13 20091
14 200922
15 200811
16 200811
17 20078
18 200760
19 200611
20 200424

About Bai‐Chin Lee

Bai‐Chin Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Surgery, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Reproductive Biology and Fertility (6 papers), Pluripotent Stem Cells Research (6 papers), Advanced MRI Techniques and Applications (5 papers), Cardiovascular Function and Risk Factors (4 papers), Diet, Metabolism, and Disease (4 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (265 citations), Nephrology (76 citations), Endocrinology, Diabetes and Metabolism (165 citations), Radiology, Nuclear Medicine and Imaging (175 citations) and Complementary and alternative medicine (51 citations). Bai‐Chin Lee has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include M. D. F. Deck, Hsiu‐Ching Hsu, Yung‐Ming Chen, Leslie A. Saint-Louis, Kuo‐Liong Chien, Hung‐Ju Lin, Ching‐Yi Chen, Yuan‐Teh Lee, Wen‐Yih Isaac Tseng and Yi‐Lwun Ho. Their work appears in journals such as Reproduction in Domestic Animals, American Journal of Roentgenology, International journal of cardiac imaging, European Journal of Heart Failure and Leukemia.

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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