Qiang Chu
Impact in
- Biochemistry top 2%
- Aging top 5%
Papers in
-
- Advanced Welding Techniques Analysis 30
- Aluminum Alloys Composites Properties 28
-
- Tea Polyphenols and Effects 28
- Co-authors
- Haizhao Song (18 shared papers)Wenya Li (28 shared papers)Xiang Li (13 shared papers)Gaorong Han (11 shared papers)Xiawei Yang (23 shared papers)Xiaodong Zheng (23 shared papers)Yonglu Li (21 shared papers)Chao Fang (7 shared papers)
- Journals
- Food Chemistry (9 papers)International Journal of Biological Macromolecules (6 papers)Journal of Materials Research and Technology (5 papers)Materials Characterization (5 papers)Welding in the World (4 papers)
- Partner nations
- ChinaGreeceUnited States
In The Last Decade
Qiang Chu
117 papers receiving 3.0k citations
Qiang Chu's Hit Papers
Peers
Comparison fields: 5 of 123
- Biochemistry 178
- Aging 48
- Biomaterials 315
- Food Science 397
- Pathology and Forensic Medicine 306
Countries citing papers authored by Qiang Chu
This map shows the geographic impact of Qiang 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 Qiang Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Chu more than expected).
Fields of papers citing papers by Qiang Chu
This network shows the impact of papers produced by Qiang 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 Qiang Chu. The network helps show where Qiang Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiang 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
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Co–Ferrocene MOF/Glucose Oxidase as Cascade Nanozyme for Effective Tumor Therapy Hit paper breakdown → | 2020 | 372 |
| 2 | 2015 | 130 | |
| 3 | 2021 | 111 | |
| 4 | 2018 | 69 | |
| 5 | 2015 | 68 | |
| 6 | 2021 | 66 | |
| 7 | 2021 | 66 | |
| 8 | 2021 | 65 | |
| 9 | 2019 | 64 | |
| 10 | 2016 | 57 | |
| 11 | 2017 | 57 | |
| 12 | 2021 | 54 | |
| 13 | 2019 | 50 | |
| 14 | 2021 | 49 | |
| 15 | 2018 | 49 | |
| 16 | 2023 | 49 | |
| 17 | 2019 | 47 | |
| 18 | 2019 | 45 | |
| 19 | 2020 | 43 | |
| 20 | 2021 | 43 |
About Qiang Chu
Qiang Chu is a scholar working on Mechanical Engineering, Pathology and Forensic Medicine, Molecular Biology, Food Science and Aerospace Engineering, having authored 125 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Welding Techniques Analysis (30 papers), Aluminum Alloys Composites Properties (28 papers), Tea Polyphenols and Effects (28 papers), Aluminum Alloy Microstructure Properties (20 papers), Nanoplatforms for cancer theranostics (14 papers), Phytochemicals and Antioxidant Activities (13 papers), Food Quality and Safety Studies (12 papers) and Fermentation and Sensory Analysis (11 papers). The work is most often cited by research in Biochemistry (178 citations), Aging (48 citations), Biomaterials (315 citations), Food Science (397 citations) and Pathology and Forensic Medicine (306 citations). Qiang Chu has collaborated with scholars based in China, Greece and United States. Frequent co-authors include Haizhao Song, Wenya Li, Xiang Li, Gaorong Han, Xiawei Yang, Xiaodong Zheng, Yonglu Li, Chao Fang, Guodong Cao and Xiaodong Zheng. Their work appears in journals such as Food Chemistry, International Journal of Biological Macromolecules, Journal of Materials Research and Technology, Materials Characterization and Welding in the World.
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.