Yang-Ching Ko
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Toxicology top 10%
Papers in
-
- Genomics, phytochemicals, and oxidative stress 4
-
- Synthesis and biological activity 2
- Co-authors
- Jing‐Gung Chung (8 shared papers)Jai‐Sing Yang (4 shared papers)Shin‐Hwar Wu (2 shared papers)Chi‐Cheng Lu (2 shared papers)Tung-Yuan Lai (1 shared paper)Liang-Wen Hang (1 shared paper)Hung-Yi Chen (1 shared paper)Jing-Pin Lin (2 shared papers)
- Journals
- Phytomedicine (1 paper)Molecules (1 paper)Oncology Reports (1 paper)Human & Experimental Toxicology (1 paper)Journal of Korean Medical Science (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Yang-Ching Ko
9 papers receiving 397 citations
Peers
Comparison fields: 5 of 69
- Molecular Medicine 121
- Toxicology 19
- Cancer Research 65
- Molecular Biology 244
- Biochemistry 18
Countries citing papers authored by Yang-Ching Ko
This map shows the geographic impact of Yang-Ching Ko'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 Yang-Ching Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang-Ching Ko more than expected).
Fields of papers citing papers by Yang-Ching Ko
This network shows the impact of papers produced by Yang-Ching Ko. 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 Yang-Ching Ko. The network helps show where Yang-Ching Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang-Ching Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Curcumin induces apoptosis in human non-small cell lung cancer NCI-H460 cells through ER stress and caspase cascade- and mitochondria-dependent pathways. | 2010 | 222 |
| 2 | 2011 | 41 | |
| 3 | Phenethyl isothiocyanate (PEITC) promotes G2/M phase arrest via p53 expression and induces apoptosis through caspase- and mitochondria-dependent signaling pathways in human prostate cancer DU 145 cells. | 2011 | 40 |
| 4 | 2013 | 30 | |
| 5 | 2015 | 27 | |
| 6 | 2016 | 20 | |
| 7 | 2009 | 12 | |
| 8 | Demethoxycurcumin alters gene expression associated with DNA damage, cell cycle and apoptosis in human lung cancer NCI-H460 cells in vitro. | 2015 | 5 |
| 9 | 2010 | 4 |
About Yang-Ching Ko
Yang-Ching Ko is a scholar working on Molecular Biology, Organic Chemistry, Pulmonary and Respiratory Medicine, Molecular Medicine and Microbiology, having authored 9 papers that have together received 401 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (4 papers), Curcumin's Biomedical Applications (2 papers), Synthesis and biological activity (2 papers), Antimicrobial Peptides and Activities (2 papers), Coleoptera Taxonomy and Distribution (1 paper), MicroRNA in disease regulation (1 paper), Nosocomial Infections in ICU (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Molecular Medicine (121 citations), Toxicology (19 citations), Cancer Research (65 citations), Molecular Biology (244 citations) and Biochemistry (18 citations). Yang-Ching Ko has collaborated with scholars based in Taiwan. Frequent co-authors include Jing‐Gung Chung, Jai‐Sing Yang, Shin‐Hwar Wu, Chi‐Cheng Lu, Tung-Yuan Lai, Liang-Wen Hang, Hung-Yi Chen, Jing-Pin Lin, Jin‐Cherng Lien and Yi‐Ping Huang. Their work appears in journals such as Phytomedicine, Molecules, Oncology Reports, Human & Experimental Toxicology and Journal of Korean Medical Science.
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.