Hung Chu

1.1k citations
20 papers · 865 · h-index 10

Impact in

    • 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

Hung Chu

19 papers receiving 847 citations

Peers

Hung Chu
Comparison fields: 5 of 88
  • Biochemistry 108
  • Molecular Biology 582
  • Plant Science 309
  • Cellular and Molecular Neuroscience 128
  • Biotechnology 43
Replace Kentaro Mori with:
Kentaro Mori Japan
Jharna R. Das United States
Hongsheng Chen China
Yasunori Sugiyama Japan
Erming Wang United States
Archana Jha United States
Mengting Zhang China
Tadashi Furukawa Japan
Jack Kelly United States
Szabolcs Szarka Hungary
Hung Chu relative to Kentaro Mori Japan Kentaro Mori's profile →
Citations per field
00.5×1.5×
Kentaro Mori · 1×
Citations per year

Countries citing papers authored by Hung Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hung Chu Line = papers co-authored together Hung Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2008181
2 1991143
3 2009101
4 201096
5 200876
6 201067
7 199965
8 199458
9 201036
10 201910
11 20238
12 20236
13 20235
14 20003
15 20242
16 20252
17 20232
18 20242
19 20252
20 20250

About Hung Chu

Hung Chu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology, having authored 20 papers that have together received 865 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Plant biochemistry and biosynthesis (3 papers), Plant Molecular Biology Research (2 papers), Medical Imaging Techniques and Applications (2 papers), Receptor Mechanisms and Signaling (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Biochemistry (108 citations), Molecular Biology (582 citations), Plant Science (309 citations), Cellular and Molecular Neuroscience (128 citations) and Biotechnology (43 citations). Hung Chu has collaborated with scholars based in Netherlands, United States and Hong Kong. Frequent co-authors include Clive Lo, Ivan K. Chu, Yegang Du, Mingfu Wang, Linda A. Kobierski, Michael J. Comb, Yejun Tan, Masahiko Maekawa, Wataru Sakamoto and Edward C. Yeung. Their work appears in journals such as New Phytologist, The International Journal of Cardiovascular Imaging, Physics and Imaging in Radiation Oncology, Oral Oncology and BMC Health Services Research.

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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