Chin‐Cheng Su

605 citations
21 papers · 508 indexed · h-index 14
Topics
Traditional Chinese Medicine Analysis (10 papers)Medicinal Plant Pharmacodynamics Research (7 papers)Endoplasmic Reticulum Stress and Disease (3 papers)
Partner nations
Taiwan

In The Last Decade

Chin‐Cheng Su

21 papers receiving 495 citations

Peers

Chin‐Cheng Su
Comparison fields: 5 of 78
  • Molecular Biology 302
  • Complementary and alternative medicine 183
  • Pharmacology 100
  • Oncology 81
  • Cancer Research 78
Replace Li-Mien Chen with:
Li-Mien Chen Taiwan
Mianhua Wu China
Jiajun Liu China
Zhujuan Xiong China
Kaikai Shen China
Xianjun Yu China
Kanamata Reddy United States
Ji‐Yao Chou Hong Kong
Jose Thaiparambil United States
Shibing Su China
Chin‐Cheng Su relative to Li-Mien Chen Taiwan Li-Mien Chen's profile →
Citations per field
00.5×1.5×1.8×
Li-Mien Chen · 1×
Citations per year

Countries citing papers authored by Chin‐Cheng Su

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Cheng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin‐Cheng Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Cheng Su. A scholar is included among the top collaborators of Chin‐Cheng Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin‐Cheng Su. Chin‐Cheng Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 28
2 33
3 39
4 7
5 4
6 9
7
Tanshinone IIA inhibits gastric carcinoma AGS cells through increasing p-p38, p-JNK and p53 but reducing p-ERK, CDC2 and cyclin B1 expression.
38
8 12
9 6
10 5
11 34
12 28
13 42
14 14
15 36
16 30
17 46
18 13
19
GADD153 mediates berberine-induced apoptosis in human cervical cancer Ca ski cells.
46
20 12

About Chin‐Cheng Su

Chin‐Cheng Su is a scholar working on Complementary and alternative medicine, Pharmacology and Toxicology, having authored 21 papers that have together received 508 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (10 papers), Medicinal Plant Pharmacodynamics Research (7 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Complementary and alternative medicine (183 citations), Pharmacology (100 citations) and Drug Discovery (1 citation). Chin‐Cheng Su has collaborated with scholars based in Taiwan. Frequent co-authors include Tsung‐Lang Chiu, Jung‐Cheng Kang, Guangwei Chen, Ming‐Huan Chan, Dar‐Ren Chen, Shou‐Jen Kuo, Su‐Yu Chien, Chun‐Yuan Cheng, Jai‐Sing Yang and Jing‐Gung Chung. Their work appears in journals such as Journal of Agricultural and Food Chemistry, American Journal of Physiology-Endocrinology and Metabolism and Phytotherapy Research.

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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