Ning‐hua Cui
Impact in
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- Cancer-related molecular mechanisms research
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- Diet, Metabolism, and Disease
Papers in
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- Epigenetics and DNA Methylation 2
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- Antiplatelet Therapy and Cardiovascular Diseases 3
- Co-authors
- Xuebin Wang (14 shared papers)Rongxian Guo (1 shared paper)Fang Zheng (8 shared papers)Xuebin Wang (5 shared papers)Zejin Liu (3 shared papers)Shuai Zhang (3 shared papers)Liang Ming (3 shared papers)Xin Liu (1 shared paper)
- Journals
- PLoS ONE (3 papers)Cardiovascular Diabetology (2 papers)Redox Biology (2 papers)Atherosclerosis (2 papers)Gene (1 paper)
- Partner nations
- China
In The Last Decade
Ning‐hua Cui
27 papers receiving 500 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 52
- Endocrinology, Diabetes and Metabolism 56
- Aging 6
- Clinical Biochemistry 20
- Physiology 67
Countries citing papers authored by Ning‐hua Cui
This map shows the geographic impact of Ning‐hua Cui'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 Ning‐hua Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning‐hua Cui more than expected).
Fields of papers citing papers by Ning‐hua Cui
This network shows the impact of papers produced by Ning‐hua Cui. 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 Ning‐hua Cui. The network helps show where Ning‐hua Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning‐hua Cui, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2015 | 81 | |
| 3 | 2020 | 35 | |
| 4 | 2019 | 34 | |
| 5 | 2016 | 28 | |
| 6 | 2016 | 27 | |
| 7 | 2018 | 20 | |
| 8 | 2019 | 18 | |
| 9 | 2014 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2017 | 13 | |
| 12 | 2014 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2016 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2014 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2015 | 8 | |
| 20 | 2020 | 7 |
About Ning‐hua Cui
Ning‐hua Cui is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 507 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (3 papers), PARP inhibition in cancer therapy (3 papers), Folate and B Vitamins Research (2 papers), Cervical Cancer and HPV Research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Epigenetics and DNA Methylation (2 papers), Iron Metabolism and Disorders (2 papers) and GDF15 and Related Biomarkers (2 papers). The work is most often cited by research in Cancer Research (52 citations), Endocrinology, Diabetes and Metabolism (56 citations), Aging (6 citations), Clinical Biochemistry (20 citations) and Physiology (67 citations). Ning‐hua Cui has collaborated with scholars based in China. Frequent co-authors include Xuebin Wang, Rongxian Guo, Fang Zheng, Xuebin Wang, Zejin Liu, Shuai Zhang, Liang Ming, Xin Liu, Junfen Ma and Jiajia Gao. Their work appears in journals such as PLoS ONE, Cardiovascular Diabetology, Redox Biology, Atherosclerosis and Gene.
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.