Li‐Chuan Chung

27 papers receiving 783 citations

Peers

Li‐Chuan Chung
Comparison fields: 5 of 97
  • Cancer Research 105
  • Applied Microbiology and Biotechnology 13
  • Molecular Biology 407
  • Rheumatology 77
  • Complementary and alternative medicine 37
Replace Jimin Shin with:
Jimin Shin South Korea
Chin‐Sheng Hung Taiwan
Shun Tang China
Ye Li China
Forough Alemi Iran
Gülçin Tezcan Türkiye
Subrata K. Pore United States
Mi Park South Korea
Li‐Chuan Chung relative to Jimin Shin South Korea Jimin Shin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Li‐Chuan Chung

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chuan Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Chuan Chung. 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 Li‐Chuan Chung. The network helps show where Li‐Chuan Chung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201561
2 200561
3 201560
4 201156
5 201149
6 201547
7 201643
8 201443
9 201442
10 201240
11 201337
12 201431
13 201631
14 201731
15 201330
16
Evaluating the function of matriptase and N-acetylglucosaminyltransferase V in prostate cancer metastasis.
200830
17 201329
18 201123
19
Prostate specific antigen gene expression in androgen insensitive prostate carcinoma subculture cell line.
200816
20 201513

About Li‐Chuan Chung

Li‐Chuan Chung is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 27 papers that have together received 808 indexed citations. Recurring topics across this work include Mechanisms of cancer metastasis (9 papers), Cancer-related gene regulation (5 papers), Prostate Cancer Treatment and Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related Molecular Pathways (2 papers), Cancer Mechanisms and Therapy (2 papers), Epigenetics and DNA Methylation (2 papers) and GDF15 and Related Biomarkers (2 papers). The work is most often cited by research in Cancer Research (105 citations), Applied Microbiology and Biotechnology (13 citations), Molecular Biology (407 citations), Rheumatology (77 citations) and Complementary and alternative medicine (37 citations). Li‐Chuan Chung has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Horng‐Heng Juang, Tsui‐Hsia Feng, Phei‐Lang Chang, Ke‐Hung Tsui, Kun‐Chun Chiang, Jehn-Chuan Lee, Yu-Jen Chen, Ke-Hung Tsui, Susan L. Churchill and Christine A. Marvin. Their work appears in journals such as Cancer Letters, Scientific Reports, The Prostate, PLoS ONE and Journal of Molecular Endocrinology.

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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