Yun‐Ching Chang

2.6k total citations · 1 hit paper
60 papers, 2.0k citations indexed

About

Yun‐Ching Chang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yun‐Ching Chang has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Yun‐Ching Chang's work include Phytochemicals and Antioxidant Activities (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers) and Hibiscus Plant Research Studies (6 papers). Yun‐Ching Chang is often cited by papers focused on Phytochemicals and Antioxidant Activities (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers) and Hibiscus Plant Research Studies (6 papers). Yun‐Ching Chang collaborates with scholars based in Taiwan, United States and Singapore. Yun‐Ching Chang's co-authors include Chau‐Jong Wang, Hui‐Pei Huang, Shin Nieh, Yaoh‐Shiang Lin, Su-Feng Chen, Chia‐Lin Liu, Mon‐Yuan Yang, Chi-Nan Hung, Cheng‐Hsun Wu and Shuchun Chen and has published in prestigious journals such as Nature Genetics, Molecular Cell and PLoS ONE.

In The Last Decade

Yun‐Ching Chang

57 papers receiving 1.9k citations

Hit Papers

BANKSY unifies cell typing and tissue domain segmentation... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yun‐Ching Chang Taiwan 28 897 347 325 243 234 60 2.0k
Yumiko Yasui Japan 30 1.1k 1.2× 283 0.8× 331 1.0× 327 1.3× 238 1.0× 74 2.5k
David J. Boocock United Kingdom 25 1.3k 1.5× 364 1.0× 316 1.0× 301 1.2× 261 1.1× 71 3.1k
Dharambir Kashyap India 23 1.5k 1.6× 299 0.9× 332 1.0× 314 1.3× 237 1.0× 48 2.7k
Gopalakrishnan Ramakrishnan United States 29 1.5k 1.7× 440 1.3× 234 0.7× 385 1.6× 307 1.3× 64 2.9k
Toshiya Kuno Japan 31 826 0.9× 360 1.0× 162 0.5× 288 1.2× 122 0.5× 78 2.1k
In‐Hye Ham South Korea 28 918 1.0× 406 1.2× 141 0.4× 425 1.7× 143 0.6× 83 1.9k
Kuang‐Chi Lai Taiwan 33 1.5k 1.6× 373 1.1× 194 0.6× 378 1.6× 325 1.4× 70 2.8k
Young‐Rae Lee South Korea 27 1.0k 1.1× 215 0.6× 121 0.4× 342 1.4× 171 0.7× 81 2.1k
Lenka Koklesová Slovakia 29 970 1.1× 260 0.7× 215 0.7× 440 1.8× 111 0.5× 49 2.1k
Javadi Monisha India 21 1.1k 1.3× 206 0.6× 126 0.4× 278 1.1× 314 1.3× 29 2.2k

Countries citing papers authored by Yun‐Ching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun‐Ching Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Ching Chang. A scholar is included among the top collaborators of Yun‐Ching 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 Yun‐Ching Chang. Yun‐Ching 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
1.
Wang, Aline Yen Ling, et al.. (2025). Transcription Factor Blimp-1: A Central Regulator of Oxidative Stress and Metabolic Reprogramming in Chronic Inflammatory Diseases. Antioxidants. 14(2). 183–183. 2 indexed citations
2.
Chang, Yun‐Ching, et al.. (2025). Glory or darkness? An empirical examination of understanding users’ adoption of ChatGPT via the coping theory: the moderating effect of mindfulness. Behaviour and Information Technology. 44(16). 4017–4036. 2 indexed citations
3.
Lin, Cheng-Han, et al.. (2024). Treatment with autophagic inhibitors enhances oligonol‑induced apoptotic effects in nasopharyngeal carcinoma cells. Biomedical Reports. 21(4). 143–143. 1 indexed citations
5.
Singhal, Vipul, Nigel Chou, Joseph Lee, et al.. (2024). BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis. Nature Genetics. 56(3). 431–441. 75 indexed citations breakdown →
6.
Chang, Yun‐Ching, et al.. (2024). Mulberry leaf extract inhibits obesity and protects against diethylnitrosamine-induced hepatocellular carcinoma in rats. Journal of Traditional and Complementary Medicine. 14(3). 266–275. 3 indexed citations
7.
8.
Chen, Kuan‐Hung, et al.. (2023). IL-10 modified mRNA monotherapy prolongs survival after composite facial allografting through the induction of mixed chimerism. Molecular Therapy — Nucleic Acids. 31. 610–627. 4 indexed citations
9.
Wang, Aline Yen Ling, Kuan‐Hung Chen, Charles Yuen Yung Loh, et al.. (2023). Sustained Release of Tacrolimus Embedded in a Mixed Thermosensitive Hydrogel for Improving Functional Recovery of Injured Peripheral Nerves in Extremities. Pharmaceutics. 15(2). 508–508. 8 indexed citations
10.
Tsai, Ming‐Chang, et al.. (2023). Hibiscus Anthocyanins Extracts Induce Apoptosis by Activating AMP-Activated Protein Kinase in Human Colorectal Cancer Cells. Nutrients. 15(18). 3972–3972. 16 indexed citations
11.
Goh, Jolene Jie Lin, Nigel Chou, Wan Yi Seow, et al.. (2020). Author Correction: Highly specific multiplexed RNA imaging in tissues with split-FISH. Nature Methods. 17(9). 947–947. 2 indexed citations
12.
Goh, Jolene Jie Lin, Nigel Chou, Wan Yi Seow, et al.. (2020). Author Correction: Highly specific multiplexed RNA imaging in tissues with split-FISH. Nature Methods. 18(1). 114–114. 2 indexed citations
14.
Wang, Chau‐Jong, et al.. (2019). Mulberry fruits extracts induce apoptosis and autophagy of liver cancer cell and prevent hepatocarcinogenesis in vivo. Journal of Food and Drug Analysis. 28(1). 84–93. 46 indexed citations
15.
Chen, Sufeng, Fushun Yu, Yun‐Ching Chang, et al.. (2011). Role of human papillomavirus infection in carcinogenesis of oral squamous cell carcinoma with evidences of prognostic association. Journal of Oral Pathology and Medicine. 41(1). 9–15. 27 indexed citations
16.
Chen, Sufeng, et al.. (2009). Effects of small interfering RNAs targeting Fascin on gene expression in oral cancer cells. Journal of Oral Pathology and Medicine. 38(9). 722–730. 24 indexed citations
17.
Chang, Yun‐Ching, et al.. (2006). Hibiscus anthocyanins-rich extract inhibited LDL oxidation and oxLDL-mediated macrophages apoptosis. Food and Chemical Toxicology. 44(7). 1015–1023. 102 indexed citations
18.
Kuo, Wu‐Hsien, Fen‐Pi Chou, Shun‐Chieh Young, Yun‐Ching Chang, & Chau‐Jong Wang. (2005). Geniposide activates GSH S-transferase by the induction of GST M1 and GST M2 subunits involving the transcription and phosphorylation of MEK-1 signaling in rat hepatocytes. Toxicology and Applied Pharmacology. 208(2). 155–162. 45 indexed citations
19.
Chang, Horng‐Rong, Jong‐Da Lian, Chia-Wen Lo, et al.. (2005). Induction of urothelial proliferation in rats by aristolochic acid through cell cycle progression via activation of cyclin D1/cdk4 and cyclin E/cdk2. Food and Chemical Toxicology. 44(1). 28–35. 16 indexed citations
20.
Chang, Yun‐Ching, Fen‐Pi Chou, Hui‐Pei Huang, Jeng‐Dong Hsu, & Chau‐Jong Wang. (2004). Inhibition of cell cycle progression by penta-acetyl geniposide in rat C6 glioma cells. Toxicology and Applied Pharmacology. 198(1). 11–20. 23 indexed citations

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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