Dandan Cui
Impact in
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
-
- Nanoplatforms for cancer theranostics 7
- Photoacoustic and Ultrasonic Imaging 7
- Co-authors
- Wen‐Sen He (6 shared papers)Yi Cheng (3 shared papers)Ying Huang (2 shared papers)Jie Wang (2 shared papers)Gui Yin (2 shared papers)Hongde Xiao (2 shared papers)Ruiyong Wang (2 shared papers)Xiaobing Huang (1 shared paper)
- Journals
- Journal of Functional Foods (3 papers)International Journal of Molecular Sciences (3 papers)CNS Neuroscience & Therapeutics (2 papers)Food Research International (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Dandan Cui
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Neurology 74
- Pharmacology 64
- Biochemistry 42
- Biotechnology 60
- Molecular Biology 468
Countries citing papers authored by Dandan Cui
This map shows the geographic impact of Dandan 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 Dandan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Cui more than expected).
Fields of papers citing papers by Dandan Cui
This network shows the impact of papers produced by Dandan 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 Dandan Cui. The network helps show where Dandan Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 129 | |
| 2 | 2015 | 73 | |
| 3 | 2011 | 71 | |
| 4 | 2014 | 65 | |
| 5 | 2020 | 64 | |
| 6 | 2011 | 64 | |
| 7 | 2018 | 61 | |
| 8 | 2020 | 59 | |
| 9 | 2014 | 57 | |
| 10 | 2019 | 34 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 31 | |
| 13 | 2020 | 29 | |
| 14 | 2014 | 28 | |
| 15 | 2019 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2019 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2014 | 18 | |
| 20 | 2023 | 15 |
About Dandan Cui
Dandan Cui is a scholar working on Molecular Biology, Biomedical Engineering, Immunology, Surgery and Oncology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Cholesterol and Lipid Metabolism (5 papers), solar cell performance optimization (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Reproductive Biology and Fertility (3 papers), Solar Thermal and Photovoltaic Systems (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Neurology (74 citations), Pharmacology (64 citations), Biochemistry (42 citations), Biotechnology (60 citations) and Molecular Biology (468 citations). Dandan Cui has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Wen‐Sen He, Yi Cheng, Ying Huang, Jie Wang, Gui Yin, Hongde Xiao, Ruiyong Wang, Xiaobing Huang, Yujiao Shi and Lingling Li. Their work appears in journals such as Journal of Functional Foods, International Journal of Molecular Sciences, CNS Neuroscience & Therapeutics, Food Research International and The International Journal of Biochemistry & Cell Biology.
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.