Cuixing Zhou
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
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- Circular RNAs in diseases 5
- TGF-β signaling in diseases 2
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- Iron Metabolism and Disorders 7
- Erythropoietin and Anemia Treatment 2
- Co-authors
- Dong Xue (14 shared papers)Xiaozhou He (6 shared papers)Yimeng Chen (7 shared papers)Yun Ji (1 shared paper)Yun‐Bo Shi (4 shared papers)Xiaozhou He (3 shared papers)Liying Miao (1 shared paper)Renfang Xu (3 shared papers)
- Journals
- Oncotarget (2 papers)Journal of Investigative Medicine (1 paper)Cell Death and Disease (1 paper)The Nephron journals/Nephron journals (1 paper)OncoTargets and Therapy (1 paper)
- Partner nations
- China
In The Last Decade
Cuixing Zhou
18 papers receiving 410 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 148
- Hematology 86
- Genetics 40
- Molecular Biology 241
- Nutrition and Dietetics 49
Countries citing papers authored by Cuixing Zhou
This map shows the geographic impact of Cuixing 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 Cuixing Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuixing Zhou more than expected).
Fields of papers citing papers by Cuixing Zhou
This network shows the impact of papers produced by Cuixing 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 Cuixing Zhou. The network helps show where Cuixing Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuixing Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2019 | 48 | |
| 3 | 2015 | 45 | |
| 4 | 2020 | 44 | |
| 5 | 2019 | 38 | |
| 6 | 2016 | 37 | |
| 7 | 2021 | 24 | |
| 8 | 2024 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2015 | 13 | |
| 11 | 2022 | 8 | |
| 12 | 2014 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2022 | 5 | |
| 16 | [Expression of serum FSTL-1 in bone metastasis of prostate cancer and its clinical implication]. | 2014 | 3 |
| 17 | 2013 | 2 | |
| 18 | 2016 | 1 |
About Cuixing Zhou
Cuixing Zhou is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Nutrition and Dietetics, having authored 18 papers that have together received 414 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (7 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Cancer-related molecular mechanisms research (3 papers), Trace Elements in Health (3 papers), TGF-β signaling in diseases (2 papers) and Erythropoietin and Anemia Treatment (2 papers). The work is most often cited by research in Cancer Research (148 citations), Hematology (86 citations), Genetics (40 citations), Molecular Biology (241 citations) and Nutrition and Dietetics (49 citations). Cuixing Zhou has collaborated with scholars based in China. Frequent co-authors include Dong Xue, Xiaozhou He, Yimeng Chen, Yun Ji, Yun‐Bo Shi, Xiaozhou He, Liying Miao, Renfang Xu, Xiaozhou He and Zhuojun Zheng. Their work appears in journals such as Oncotarget, Journal of Investigative Medicine, Cell Death and Disease, The Nephron journals/Nephron journals and OncoTargets and Therapy.
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.