Chun Chu

3.5k citations
104 papers · 2.8k · h-index 32

Impact in

    • Sulfur Compounds in Biology
    • Photosynthetic Processes and Mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

Chun Chu

100 papers receiving 2.7k citations

Peers

Chun Chu
Comparison fields: 5 of 145
  • Biochemistry 264
  • Molecular Biology 990
  • Renewable Energy, Sustainability and the Environment 213
  • Plant Science 442
  • Health, Toxicology and Mutagenesis 153
Replace Sayuri Miyamoto with:
Sayuri Miyamoto Brazil
Elisa Cabiscol Spain
Benoît D’Autréaux France
Ana Gomes Portugal
Joaquim Ros Spain
Jordi Tamarit Spain
Ning Wang China
Luciana Avigliano Italy
Dimitri A. Svistunenko United Kingdom
Gláucia Regina Martinez Brazil
Chun Chu relative to Sayuri Miyamoto Brazil Sayuri Miyamoto's profile →
Citations per field
00.5×1.5×
Sayuri Miyamoto · 1×
Citations per year

Countries citing papers authored by Chun Chu

Since Specialization
Citations

This map shows the geographic impact of Chun 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 Chun Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Chu more than expected).

Fields of papers citing papers by Chun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun 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 Chun Chu. The network helps show where Chun Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun 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 Chun Chu Line = papers co-authored together Chun Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021172
2 1991159
3 2004155
4 2018153
5 1990123
6 1997109
7 200776
8 201876
9 202260
10 199857
11 201956
12 202353
13 201449
14 201847
15 201545
16 199544
17 202443
18 201842
19 202340
20 201139

About Chun Chu

Chun Chu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biochemistry, Materials Chemistry and Electrical and Electronic Engineering, having authored 104 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (8 papers), Sulfur Compounds in Biology (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Plant Stress Responses and Tolerance (6 papers), Perovskite Materials and Applications (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Quantum Dots Synthesis And Properties (5 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Biochemistry (264 citations), Molecular Biology (990 citations), Renewable Energy, Sustainability and the Environment (213 citations), Plant Science (442 citations) and Health, Toxicology and Mutagenesis (153 citations). Chun Chu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Bhagavatula Moorthy, Tse‐Min Lee, Huu‐Sheng Lur, Aaron J. Shatkin, Maurice S. B. Ku, Ziyu Dai, Gerald E. Edwards, Weiwei Zheng, Weiwu Jiang and Rubén J. Boado. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLANT PHYSIOLOGY, Proceedings of the National Academy of Sciences, International Journal of Molecular Medicine and International Journal of Molecular Sciences.

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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