Yingchun Zhou
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Complementary and alternative medicine top 2%
- Cancer Research
- Pharmacology top 5%
- Co-authors
- Bin LiuLingpeng XieZhang‐Bin TanHuijie FanGuang‐Hong ChenHonglin XuWilliam K. KaufmannMarila Cordeiro‐Stone
- Topics
- Traditional Chinese Medicine Analysis (11 papers)Cardiac Fibrosis and Remodeling (10 papers)DNA Repair Mechanisms (8 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yingchun Zhou
64 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 619
- Cardiology and Cardiovascular Medicine 175
- Complementary and alternative medicine 162
- Cancer Research 155
- Pharmacology 145
Countries citing papers authored by Yingchun Zhou
This map shows the geographic impact of Yingchun Zhou'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 Yingchun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingchun Zhou more than expected).
Fields of papers citing papers by Yingchun Zhou
This network shows the impact of papers produced by Yingchun Zhou. 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 Yingchun Zhou. The network helps show where Yingchun Zhou may publish in the future.
Co-authorship network of co-authors of Yingchun Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yingchun Zhou. A scholar is included among the top collaborators of Yingchun Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingchun Zhou. Yingchun Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 18 | |
| 6 | 2 | |
| 7 | 43 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 17 | |
| 12 | 29 | |
| 13 | 32 | |
| 14 | Expression of miR-199b in cervical cancer tissues and its clinical significance | 2 |
| 15 | 54 | |
| 16 | Effect of Shengmai Injection on Patients with Chronic Heart Failure:A Meta-Analysis | 1 |
| 17 | Epidemiological investigation of constitutional types of Chinese medicine in 1022 general population in Hong Kong | 4 |
| 18 | Studies on the TCM syndrome and the associated factors in elderly isolated systolic hypertension in Guangdong and Hong Kong region. | 1 |
| 19 | 50 | |
| 20 | 39 |
About Yingchun Zhou
Yingchun Zhou is a scholar working on Complementary and alternative medicine, Pharmacology and Cancer Research, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (11 papers), Cardiac Fibrosis and Remodeling (10 papers) and DNA Repair Mechanisms (8 papers). The work is most often cited by research in Complementary and alternative medicine (162 citations), Pharmacology (145 citations) and Cancer Research (155 citations). Yingchun Zhou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Liu, Lingpeng Xie, Zhang‐Bin Tan, Huijie Fan, Guang‐Hong Chen, Honglin Xu, William K. Kaufmann, Marila Cordeiro‐Stone, Guoyong Zhang and Yuting Wu. Their work appears in journals such as Hepatology, Oncogene and Journal of Ethnopharmacology.
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.