Chun‐Ping Cui
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Bone Metabolism and Diseases
Papers in
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- Ubiquitin and proteasome pathways 21
- Bone Metabolism and Diseases 4
- TGF-β signaling in diseases 3
- PI3K/AKT/mTOR signaling in cancer 2
- RNA Research and Splicing 2
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- Liver physiology and pathology 6
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Co-authors
- Lingqiang Zhang (29 shared papers)Cui Hua Liu (8 shared papers)Fuchu He (5 shared papers)Lin Fu (3 shared papers)Xue-Li Zhang (2 shared papers)Hongchang Li (4 shared papers)Zhiqiang Peng (6 shared papers)Wenyi Wei (5 shared papers)
- Journals
- Nature Communications (4 papers)Cell Death and Disease (3 papers)Advanced Science (3 papers)Hepatology Research (2 papers)The FASEB Journal (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chun‐Ping Cui
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 73
- Cancer Research 206
- Molecular Biology 887
- Hepatology 109
- Oncology 181
- Cell Biology 61
Countries citing papers authored by Chun‐Ping Cui
This map shows the geographic impact of Chun‐Ping 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 Chun‐Ping Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ping Cui more than expected).
Fields of papers citing papers by Chun‐Ping Cui
This network shows the impact of papers produced by Chun‐Ping 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 Chun‐Ping Cui. The network helps show where Chun‐Ping Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Ping 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 187 | |
| 2 | 2021 | 157 | |
| 3 | 2020 | 119 | |
| 4 | 2019 | 103 | |
| 5 | 2019 | 94 | |
| 6 | 2021 | 88 | |
| 7 | 2018 | 76 | |
| 8 | 2018 | 61 | |
| 9 | 2019 | 60 | |
| 10 | 2023 | 58 | |
| 11 | 2015 | 50 | |
| 12 | 2020 | 49 | |
| 13 | 2020 | 44 | |
| 14 | 2023 | 43 | |
| 15 | 2023 | 40 | |
| 16 | 2015 | 37 | |
| 17 | 2022 | 36 | |
| 18 | 2016 | 33 | |
| 19 | 2018 | 33 | |
| 20 | 2022 | 29 |
About Chun‐Ping Cui
Chun‐Ping Cui is a scholar working on Molecular Biology, Hepatology, Developmental Neuroscience, Cancer Research and Genetics, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (21 papers), Liver physiology and pathology (6 papers), Bone Metabolism and Diseases (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), TGF-β signaling in diseases (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA Research and Splicing (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Cancer Research (206 citations), Molecular Biology (887 citations), Hepatology (109 citations), Oncology (181 citations) and Cell Biology (61 citations). Chun‐Ping Cui has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lingqiang Zhang, Cui Hua Liu, Fuchu He, Lin Fu, Xue-Li Zhang, Hongchang Li, Zhiqiang Peng, Wenyi Wei, Bo Wu and Zhe Lü. Their work appears in journals such as Nature Communications, Cell Death and Disease, Advanced Science, Hepatology Research and The FASEB 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.