Chung-Ta Lee

1.1k citations
37 papers · 866 indexed · h-index 15

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Cancer, Hypoxia, and Metabolism 4
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2

Chung-Ta Lee

36 papers receiving 855 citations

Peers

Chung-Ta Lee
Comparison fields: 5 of 81
  • Cancer Research 307
  • Hepatology 80
  • Oncology 197
  • Rheumatology 97
  • Molecular Biology 420
Replace Jin He with:
Jin He China
Hung‐Wei Pan Taiwan
Guobin Wu China
Amanda Mikels‐Vigdal United States
Anjian Xu China
Shingo Kamoshida Japan
Tae Matsumura Japan
Kanenori Endo Japan
Wen-Hui Su Taiwan
Chung-Ta Lee relative to Jin He China Jin He's profile →
Citations per field
00.5×1.5×2.4×
Jin He · 1×
Citations per year

Countries citing papers authored by Chung-Ta Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Ta Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20250
3 202113
4 20216
5 201952
6 201846
7 201710
8 201715
9 201614
10 201695
11 201614
12 20159
13 20159
14 201348
15 201328
16 201211
17 2011113
18 20119
19 201110
20 200859

About Chung-Ta Lee

Chung-Ta Lee is a scholar working on Cancer Research, Aging, Immunology and Allergy, Hepatology and Oncology, having authored 37 papers that have together received 866 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Genetic factors in colorectal cancer (4 papers), Liver physiology and pathology (3 papers), MicroRNA in disease regulation (3 papers), Colorectal Cancer Screening and Detection (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related molecular mechanisms research (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Cancer Research (307 citations), Hepatology (80 citations), Oncology (197 citations), Rheumatology (97 citations) and Molecular Biology (420 citations). Chung-Ta Lee has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Jenq-Chang Lee, Nan-Haw Chow, Peng-Chan Lin, Ben‐Kuen Chen, Bo-Wen Lin, Shao-Chieh Lin, Shaw‐Jenq Tsai, Shih‐Chieh Lin, Wen‐Bin Ou and Pei-Fang Su. Their work appears in journals such as Oncotarget, Human Pathology, PLoS ONE, Scientific Reports and Nature Communications.

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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