Dan C. Qu
Impact in
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- MicroRNA in disease regulation
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Synthesis of Organic Compounds 2
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- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Yu Huang (9 shared papers)Jian Liu (6 shared papers)Xiaoman Xu (7 shared papers)Chi Wai Lau (5 shared papers)Yi Zhang (6 shared papers)Shengqi Li (3 shared papers)Tingshu Jiang (2 shared papers)Xiao Yu Tian (4 shared papers)
- Journals
- Diabetes (2 papers)Cell Transplantation (2 papers)Brain and Behavior (1 paper)Chinese Journal of Integrative Medicine (1 paper)Chemical Engineering Journal (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dan C. Qu
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 133
- Endocrine and Autonomic Systems 62
- Molecular Biology 446
- Immunology 130
- Toxicology 20
Countries citing papers authored by Dan C. Qu
This map shows the geographic impact of Dan C. Qu'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 Dan C. Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan C. Qu more than expected).
Fields of papers citing papers by Dan C. Qu
This network shows the impact of papers produced by Dan C. Qu. 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 Dan C. Qu. The network helps show where Dan C. Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan C. Qu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 141 | |
| 2 | 2011 | 140 | |
| 3 | 2014 | 134 | |
| 4 | 2018 | 123 | |
| 5 | 2017 | 79 | |
| 6 | 2016 | 75 | |
| 7 | 2016 | 74 | |
| 8 | 2019 | 59 | |
| 9 | 2019 | 53 | |
| 10 | 2019 | 46 | |
| 11 | 2012 | 44 | |
| 12 | 2022 | 30 | |
| 13 | 2013 | 30 | |
| 14 | 2011 | 25 | |
| 15 | 2013 | 22 | |
| 16 | 2013 | 20 | |
| 17 | Effect of lycopene on the vascular endothelial function and expression of inflammatory agents in hyperhomocysteinemic rats. | 2007 | 19 |
| 18 | 2013 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2010 | 14 |
About Dan C. Qu
Dan C. Qu is a scholar working on Pharmacology, Epidemiology, Molecular Biology, Toxicology and Organic Chemistry, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Cardiac pacing and defibrillation studies (2 papers), Synthesis of Organic Compounds (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), RNA Research and Splicing (2 papers), Plant chemical constituents analysis (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cancer Research (133 citations), Endocrine and Autonomic Systems (62 citations), Molecular Biology (446 citations), Immunology (130 citations) and Toxicology (20 citations). Dan C. Qu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yu Huang, Jian Liu, Xiaoman Xu, Chi Wai Lau, Yi Zhang, Shengqi Li, Tingshu Jiang, Xiao Yu Tian, Li Wang and Xiaoqiang Yao. Their work appears in journals such as Diabetes, Cell Transplantation, Brain and Behavior, Chinese Journal of Integrative Medicine and Chemical Engineering Journal.
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.