Chun Chu

3.4k citations
103 papers · 2.7k · h-index 31

Impact in

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

Papers in

Chun Chu

99 papers receiving 2.6k citations

Peers

Chun Chu
Comparison fields: 5 of 145
  • Biochemistry 273
  • Molecular Biology 1.1k
  • Renewable Energy, Sustainability and the Environment 211
  • Plant Science 451
  • Health, Toxicology and Mutagenesis 162
Replace Sayuri Miyamoto with:
Sayuri Miyamoto Brazil
Benoît D’Autréaux France
Elisa Cabiscol Spain
Ana Gomes Portugal
Celia Andrés Spain
Joaquim Ros Spain
Jordi Tamarit Spain
Ning Wang China
Luciana Avigliano Italy
Gláucia Regina Martinez Brazil
Chun Chu relative to Sayuri Miyamoto Brazil Sayuri Miyamoto's profile →
Citations per field
00.5×1.5×2.0×
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 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021158
2 1991158
3 2004152
4 2018149
5 1990123
6 1997109
7 200776
8 201874
9 199857
10 202257
11 201954
12 202351
13 201449
14 201847
15 201545
16 199544
17 201839
18 201139
19 202038
20 202338

About Chun Chu

Chun Chu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Materials Chemistry, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 103 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Plant Stress Responses and Tolerance (6 papers), Perovskite Materials and Applications (6 papers), Sulfur Compounds in Biology (6 papers), Quantum Dots Synthesis And Properties (5 papers), RNA Interference and Gene Delivery (5 papers) and Advanced Glycation End Products research (5 papers). The work is most often cited by research in Biochemistry (273 citations), Molecular Biology (1.1k citations), Renewable Energy, Sustainability and the Environment (211 citations), Plant Science (451 citations) and Health, Toxicology and Mutagenesis (162 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, Ziyu Dai, Maurice S. B. Ku, Gerald E. Edwards, Aaron J. Shatkin, Weiwei Zheng, Weiwu Jiang and William M. Pardridge. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLANT PHYSIOLOGY, Biomedicine & Pharmacotherapy, International Journal of Molecular Sciences and Plant Science.

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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