Fang‐Hua Chu
- Molecular Biology top 10%
- Plant Science top 5%
- Pharmacology top 2%
- Food Science top 5%
- Organic Chemistry top 10%
- Co-authors
- Sheng‐Yang WangShang‐Tzen ChangJei‐Fu ShawShyi‐Dong YehYi-Ru LeeYanliang LinShih‐Chang ChienK. J. Senthil Kumar
- Topics
- Plant biochemistry and biosynthesis (30 papers)Natural product bioactivities and synthesis (22 papers)Fungal Biology and Applications (19 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEJournal of Agricultural and Food Chemistry
- Partner nations
- TaiwanIrelandUnited States
In The Last Decade
Fang‐Hua Chu
95 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 829
- Plant Science 661
- Pharmacology 450
- Food Science 193
- Organic Chemistry 158
Countries citing papers authored by Fang‐Hua Chu
This map shows the geographic impact of Fang‐Hua Chu'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 Fang‐Hua Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang‐Hua Chu more than expected).
Fields of papers citing papers by Fang‐Hua Chu
This network shows the impact of papers produced by Fang‐Hua Chu. 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 Fang‐Hua Chu. The network helps show where Fang‐Hua Chu may publish in the future.
Co-authorship network of co-authors of Fang‐Hua Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Fang‐Hua Chu. A scholar is included among the top collaborators of Fang‐Hua Chu 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 Fang‐Hua Chu. Fang‐Hua Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 25 | |
| 10 | 19 | |
| 11 | 91 | |
| 12 | Establishment of an efficient cell suspension culture in Acacia confusa (Merr.) for induction of antioxidants by using elicitors. | 1 |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 85 | |
| 16 | 10 | |
| 17 | Basidiomatal Formation in Antrodia cinnamomea from the Perspective of Gene Expression | 5 |
| 18 | 10 | |
| 19 | Gene Investigation into the Inner Bark of Taiwania (Taiwania cryptomerioides) | 7 |
| 20 | Production and evaluation of transgenic tobacco plants expressing the coat protein gene of passionfruit woodiness virus | 2 |
About Fang‐Hua Chu
Fang‐Hua Chu is a scholar working on Pharmacology, Plant Science and Endocrinology, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (30 papers), Natural product bioactivities and synthesis (22 papers) and Fungal Biology and Applications (19 papers). The work is most often cited by research in Endocrinology (153 citations), Pharmacology (450 citations) and Plant Science (661 citations). Fang‐Hua Chu has collaborated with scholars based in Taiwan, Ireland and United States. Frequent co-authors include Sheng‐Yang Wang, Shang‐Tzen Chang, Jei‐Fu Shaw, Shyi‐Dong Yeh, Yi-Ru Lee, Yanliang Lin, Shih‐Chang Chien, K. J. Senthil Kumar, Yueh‐Hsiung Kuo and Jiunn‐Wang Liao. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Agricultural and Food Chemistry.
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.