Hung Chu
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
-
- Plant Gene Expression Analysis
- Plant biochemistry and biosynthesis
- Photosynthetic Processes and Mechanisms
- Plant Reproductive Biology
- Receptor Mechanisms and Signaling
Papers in
-
- Plant Gene Expression Analysis 5
- Photosynthetic Processes and Mechanisms 4
- Plant biochemistry and biosynthesis 3
- Signaling Pathways in Disease 2
- Receptor Mechanisms and Signaling 2
-
- Neurotransmitter Receptor Influence on Behavior 2
- Co-authors
- Clive Lo (6 shared papers)Ivan K. Chu (5 shared papers)Yegang Du (3 shared papers)Mingfu Wang (3 shared papers)Michael J. Comb (2 shared papers)Linda A. Kobierski (2 shared papers)Yejun Tan (1 shared paper)Wataru Sakamoto (1 shared paper)
- Journals
- New Phytologist (2 papers)PLANT PHYSIOLOGY (1 paper)Frontiers in Microbiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Oral Oncology (1 paper)
- Partner nations
- United StatesNetherlandsHong Kong
In The Last Decade
Hung Chu
17 papers receiving 800 citations
Peers
Comparison fields: 5 of 88
- Biochemistry 100
- Molecular Biology 560
- Plant Science 289
- Cellular and Molecular Neuroscience 121
- Biotechnology 43
Countries citing papers authored by Hung Chu
This map shows the geographic impact of Hung 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 Hung Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Chu more than expected).
Fields of papers citing papers by Hung Chu
This network shows the impact of papers produced by Hung 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 Hung Chu. The network helps show where Hung Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung Chu, 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 | 2008 | 172 | |
| 2 | 1991 | 135 | |
| 3 | 2009 | 93 | |
| 4 | 2010 | 89 | |
| 5 | 2008 | 74 | |
| 6 | 1999 | 65 | |
| 7 | 2010 | 63 | |
| 8 | 1994 | 58 | |
| 9 | 2010 | 35 | |
| 10 | 2019 | 10 | |
| 11 | 2023 | 8 | |
| 12 | 2000 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Hung Chu
Hung Chu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Plant Science and Otorhinolaryngology, having authored 18 papers that have together received 814 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant biochemistry and biosynthesis (3 papers), Plant Molecular Biology Research (2 papers), Signaling Pathways in Disease (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Biochemistry (100 citations), Molecular Biology (560 citations), Plant Science (289 citations), Cellular and Molecular Neuroscience (121 citations) and Biotechnology (43 citations). Hung Chu has collaborated with scholars based in United States, Netherlands and Hong Kong. Frequent co-authors include Clive Lo, Ivan K. Chu, Yegang Du, Mingfu Wang, Michael J. Comb, Linda A. Kobierski, Yejun Tan, Wataru Sakamoto, Masahiko Maekawa and Edward C. Yeung. Their work appears in journals such as New Phytologist, PLANT PHYSIOLOGY, Frontiers in Microbiology, Proceedings of the National Academy of Sciences and Oral Oncology.
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.