Chu‐I Lee

424 citations
15 papers · 373 · h-index 11

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Cancer-related gene regulation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Connective Tissue Growth Factor Research 2
    • Biological Stains and Phytochemicals 2

Chu‐I Lee

15 papers receiving 369 citations

Peers

Chu‐I Lee
Comparison fields: 5 of 66
  • Clinical Biochemistry 54
  • Cell Biology 58
  • Molecular Biology 236
  • Biotechnology 25
  • Nephrology 16
Replace Michael E. Pape with:
Michael E. Pape United States
M E Pape United States
Pushkaraj J. Lad United States
S. Le Plénier France
Toshikatsu Nakabayashi Japan
S. Saraswathi India
MALCOLM J. P. HIGGINS United Kingdom
David C. Earl United States
Eon‐Gi Sung South Korea
Chu‐I Lee relative to Michael E. Pape United States Michael E. Pape's profile →
Citations per field
00.5×6.3×
Michael E. Pape · 1×
Citations per year

Countries citing papers authored by Chu‐I Lee

Since Specialization
Citations

This map shows the geographic impact of Chu‐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 Chu‐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 Chu‐I Lee more than expected).

Fields of papers citing papers by Chu‐I Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012107
2 200643
3 201233
4 200727
5 200827
6 200526
7 200721
8 200420
9 201420
10 200520
11 201511
12 20096
13 20106
14 20135
15 20151

About Chu‐I Lee

Chu‐I Lee is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Biotechnology and Pathology and Forensic Medicine, having authored 15 papers that have together received 373 indexed citations. Recurring topics across this work include Microbial Metabolism and Applications (3 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Biological Stains and Phytochemicals (2 papers), Advanced Glycation End Products research (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Connective Tissue Growth Factor Research (2 papers). The work is most often cited by research in Clinical Biochemistry (54 citations), Cell Biology (58 citations), Molecular Biology (236 citations), Biotechnology (25 citations) and Nephrology (16 citations). Chu‐I Lee has collaborated with scholars based in Taiwan. Frequent co-authors include Yi‐Ren Hong, Jyh‐Jye Wang, Joon‐Khim Loh, Shen‐Long Howng, Chun-Lin Lee, Tai-Shan Cheng, Shen-Long Howng, Chia‐Hua Chou, Ching-Mei Hsu and Chi‐Ying F. Huang. Their work appears in journals such as Journal of Cellular Biochemistry, Applied Microbiology and Biotechnology, Journal of Functional Foods, Journal of Biological Chemistry and Acta Neurochirurgica.

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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