Tsu‐Chung Chang

1.3k citations
46 papers · 1.1k indexed · h-index 23
Topics
Alkaline Phosphatase Research Studies (8 papers)Mitochondrial Function and Pathology (5 papers)Selenium in Biological Systems (5 papers)

In The Last Decade

Tsu‐Chung Chang

46 papers receiving 1.1k citations

Peers

Tsu‐Chung Chang
Comparison fields: 5 of 101
  • Molecular Biology 676
  • Genetics 238
  • Endocrinology, Diabetes and Metabolism 128
  • Oncology 103
  • Pharmacology 89
Replace G. Jayarama Bhat with:
G. Jayarama Bhat United States
Hyeun‐Wook Chang South Korea
Ferng‐Chun Ke Taiwan
Saori Takahashi Japan
H Wei United States
Sangku Lee South Korea
Keishi Hata Japan
Ming-Ting Lee Taiwan
Simona Pace Germany
Min‐Hyuk Yoo United States
Tsu‐Chung Chang relative to G. Jayarama Bhat United States G. Jayarama Bhat's profile →
Citations per field
00.5×1.5×2.1×
G. Jayarama Bhat · 1×
Citations per year

Countries citing papers authored by Tsu‐Chung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tsu‐Chung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsu‐Chung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tsu‐Chung Chang. A scholar is included among the top collaborators of Tsu‐Chung Chang 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 Tsu‐Chung Chang. Tsu‐Chung Chang 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 2
2 23
3 32
4 25
5 22
6 23
7 35
8 20
9 20
10
Apoptotic effect of caffeic acid phenethyl ester and its ester and amide analogues in human cervical cancer ME180 cells.
48
11 6
12 10
13 55
14 50
15 17
16 22
17 7
18 22
19 96
20 10

About Tsu‐Chung Chang

Tsu‐Chung Chang is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alkaline Phosphatase Research Studies (8 papers), Mitochondrial Function and Pathology (5 papers) and Selenium in Biological Systems (5 papers). The work is most often cited by research in Pharmacology (89 citations), Molecular Biology (676 citations) and Immunology and Allergy (58 citations). Tsu‐Chung Chang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include David J. Shapiro, David A. Nielsen, Gu‐Gang Chang, Shih‐Yu Lee, Mei‐Whey Hung, Denise Lew, Wen-Liang Chang, Li-Shian Shi, Lai‐Chen Tsai and Ann M. Nardulli. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Biochemistry.

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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