Ya–Chen Yang
Impact in
-
- Andrographolide Research and Applications
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Plant Toxicity and Pharmacological Properties 5
- Inflammasome and immune disorders 5
- Genomics, phytochemicals, and oxidative stress 4
-
- Andrographolide Research and Applications 8
- Co-authors
- Haw‐Wen Chen (18 shared papers)Chong‐Kuei Lii (9 shared papers)Chien‐Chun Li (9 shared papers)Kai‐Li Liu (9 shared papers)Chia‐Yang Lu (4 shared papers)Ai‐Hsuan Lin (4 shared papers)Peter P. Fu (3 shared papers)Jian Yan (3 shared papers)
- Journals
- Anticancer Research (10 papers)The American Journal of Chinese Medicine (4 papers)Bioorganic Chemistry (3 papers)Phytomedicine (2 papers)Cancers (2 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Ya–Chen Yang
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Complementary and alternative medicine 150
- Pharmacology 161
- Biochemistry 62
- Biochemistry 65
- Molecular Biology 592
Countries citing papers authored by Ya–Chen Yang
This map shows the geographic impact of Ya–Chen Yang'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 Ya–Chen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya–Chen Yang more than expected).
Fields of papers citing papers by Ya–Chen Yang
This network shows the impact of papers produced by Ya–Chen Yang. 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 Ya–Chen Yang. The network helps show where Ya–Chen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya–Chen Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 169 | |
| 2 | 2012 | 126 | |
| 3 | 2014 | 99 | |
| 4 | 2000 | 92 | |
| 5 | 2003 | 92 | |
| 6 | 2017 | 52 | |
| 7 | 2018 | 42 | |
| 8 | 2016 | 41 | |
| 9 | 2000 | 40 | |
| 10 | 2020 | 37 | |
| 11 | 2016 | 31 | |
| 12 | 2013 | 31 | |
| 13 | 2016 | 29 | |
| 14 | 2020 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2015 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2019 | 14 | |
| 20 | 2015 | 14 |
About Ya–Chen Yang
Ya–Chen Yang is a scholar working on Molecular Biology, Complementary and alternative medicine, Oncology, Cancer Research and Pharmacology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Andrographolide Research and Applications (8 papers), Protease and Inhibitor Mechanisms (7 papers), Plant Toxicity and Pharmacological Properties (5 papers), Inflammasome and immune disorders (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Fatty Acid Research and Health (3 papers), Isotope Analysis in Ecology (2 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). The work is most often cited by research in Complementary and alternative medicine (150 citations), Pharmacology (161 citations), Biochemistry (62 citations), Biochemistry (65 citations) and Molecular Biology (592 citations). Ya–Chen Yang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Haw‐Wen Chen, Chong‐Kuei Lii, Chien‐Chun Li, Kai‐Li Liu, Chia‐Yang Lu, Ai‐Hsuan Lin, Peter P. Fu, Jian Yan, Ming W. Chou and Daniel R. Doerge. Their work appears in journals such as Anticancer Research, The American Journal of Chinese Medicine, Bioorganic Chemistry, Phytomedicine and Cancers.
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.