Cuizhe Wang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
Papers in
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- Kruppel-like factors research 11
- Circular RNAs in diseases 2
- Cancer-related gene regulation 2
- Peroxisome Proliferator-Activated Receptors 2
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- MicroRNA in disease regulation 4
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Jianxin Xie (15 shared papers)Jun Zhang (19 shared papers)Yajuan Gu (6 shared papers)Peng Xu (5 shared papers)Jingzhou Wang (13 shared papers)Jiaojiao Zhu (7 shared papers)Tingting Wang (3 shared papers)Yongsheng Chang (8 shared papers)
- Journals
- Journal of Diabetes Investigation (3 papers)Cancer Science (2 papers)Obesity Research & Clinical Practice (2 papers)Nutrition and Diabetes (2 papers)Journal of Lipid Research (1 paper)
- Partner nations
- China
In The Last Decade
Cuizhe Wang
29 papers receiving 390 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 71
- Applied Microbiology and Biotechnology 9
- Physiology 70
- Molecular Biology 174
- Orthopedics and Sports Medicine 19
Countries citing papers authored by Cuizhe Wang
This map shows the geographic impact of Cuizhe Wang'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 Cuizhe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuizhe Wang more than expected).
Fields of papers citing papers by Cuizhe Wang
This network shows the impact of papers produced by Cuizhe Wang. 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 Cuizhe Wang. The network helps show where Cuizhe Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuizhe Wang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 41 | |
| 2 | 2022 | 36 | |
| 3 | 2018 | 35 | |
| 4 | 2018 | 34 | |
| 5 | 2024 | 30 | |
| 6 | 2018 | 27 | |
| 7 | 2017 | 27 | |
| 8 | 2020 | 21 | |
| 9 | 2016 | 16 | |
| 10 | 2020 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 6 |
About Cuizhe Wang
Cuizhe Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 394 indexed citations. Recurring topics across this work include Kruppel-like factors research (11 papers), MicroRNA in disease regulation (4 papers), Cancer, Lipids, and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Circular RNAs in diseases (2 papers), Cancer-related gene regulation (2 papers), Adipose Tissue and Metabolism (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (71 citations), Applied Microbiology and Biotechnology (9 citations), Physiology (70 citations), Molecular Biology (174 citations) and Orthopedics and Sports Medicine (19 citations). Cuizhe Wang has collaborated with scholars based in China. Frequent co-authors include Jianxin Xie, Jun Zhang, Yajuan Gu, Peng Xu, Jingzhou Wang, Jiaojiao Zhu, Tingting Wang, Yongsheng Chang, Xin Yang and Bo Han. Their work appears in journals such as Journal of Diabetes Investigation, Cancer Science, Obesity Research & Clinical Practice, Nutrition and Diabetes and Journal of Lipid Research.
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.