Danrui Cui
Impact in
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
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- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
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- Ubiquitin and proteasome pathways 16
- PI3K/AKT/mTOR signaling in cancer 5
- Protein Degradation and Inhibitors 4
- RNA modifications and cancer 3
- Oncology 16
- Cancer-related Molecular Pathways 12
- Peptidase Inhibition and Analysis 3
- Co-authors
- Yongchao Zhao (24 shared papers)Xiufang Xiong (23 shared papers)Xiaoyu Chen (4 shared papers)Shanshan Gu (1 shared paper)Jianfeng Shu (6 shared papers)Yi Sun (7 shared papers)Yanli Bi (6 shared papers)Xiao-Qing Dai (4 shared papers)
- Journals
- Cell Death and Differentiation (3 papers)Cell Death and Disease (2 papers)Advanced Science (2 papers)Cancer Letters (2 papers)Molecular Oncology (1 paper)
- Partner nations
- ChinaMadagascarUnited States
In The Last Decade
Danrui Cui
23 papers receiving 649 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 563
- Oncology 220
- Cancer Research 92
- Hematology 55
- Cell Biology 56
Countries citing papers authored by Danrui Cui
This map shows the geographic impact of Danrui 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 Danrui Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danrui Cui more than expected).
Fields of papers citing papers by Danrui Cui
This network shows the impact of papers produced by Danrui 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 Danrui Cui. The network helps show where Danrui Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Danrui 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 | 2018 | 183 | |
| 2 | 2020 | 65 | |
| 3 | 2021 | 55 | |
| 4 | 2016 | 53 | |
| 5 | 2020 | 44 | |
| 6 | 2019 | 38 | |
| 7 | 2019 | 36 | |
| 8 | 2023 | 24 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2020 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 6 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 2 |
About Danrui Cui
Danrui Cui is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Cell Biology, having authored 27 papers that have together received 655 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (12 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Autophagy in Disease and Therapy (5 papers), Protein Degradation and Inhibitors (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA modifications and cancer (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Molecular Biology (563 citations), Oncology (220 citations), Cancer Research (92 citations), Hematology (55 citations) and Cell Biology (56 citations). Danrui Cui has collaborated with scholars based in China, Madagascar and United States. Frequent co-authors include Yongchao Zhao, Xiufang Xiong, Xiaoyu Chen, Shanshan Gu, Jianfeng Shu, Yi Sun, Yanli Bi, Xiao-Qing Dai, Ying Ma and Dian Liu. Their work appears in journals such as Cell Death and Differentiation, Cell Death and Disease, Advanced Science, Cancer Letters and Molecular Oncology.
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.