Chengcheng Cui
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 4
- Extracellular vesicles in disease 4
- Inflammasome and immune disorders 2
-
- MicroRNA in disease regulation 5
- Co-authors
- Jieli Chen (11 shared papers)Michael Chopp (11 shared papers)Alex Zacharek (9 shared papers)Poornima Venkat (8 shared papers)Julie Landschoot‐Ward (3 shared papers)Peng Yu (2 shared papers)Xiaoping Yang (2 shared papers)Jiang Xu (2 shared papers)
- Journals
- Stroke (4 papers)Translational Stroke Research (2 papers)Biochemical and Biophysical Research Communications (1 paper)Bioresource Technology (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chengcheng Cui
21 papers receiving 885 citations
Peers
Comparison fields: 5 of 85
- Neurology 191
- Cancer Research 217
- Neurology 114
- Developmental Neuroscience 27
- Molecular Biology 463
Countries citing papers authored by Chengcheng Cui
This map shows the geographic impact of Chengcheng 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 Chengcheng Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengcheng Cui more than expected).
Fields of papers citing papers by Chengcheng Cui
This network shows the impact of papers produced by Chengcheng 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 Chengcheng Cui. The network helps show where Chengcheng Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengcheng 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 142 | |
| 2 | 2017 | 135 | |
| 3 | 2016 | 112 | |
| 4 | 2017 | 107 | |
| 5 | 2017 | 91 | |
| 6 | 2015 | 55 | |
| 7 | 2016 | 53 | |
| 8 | 2020 | 37 | |
| 9 | 2014 | 36 | |
| 10 | 2018 | 30 | |
| 11 | 2015 | 27 | |
| 12 | 2022 | 16 | |
| 13 | 2021 | 13 | |
| 14 | 2023 | 12 | |
| 15 | 2016 | 10 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2024 | 1 |
About Chengcheng Cui
Chengcheng Cui is a scholar working on Molecular Biology, Cancer Research, Demography, Neurology and Neurology, having authored 23 papers that have together received 892 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), Global Educational Reforms and Inequalities (4 papers), Extracellular vesicles in disease (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Inflammasome and immune disorders (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Neurology (191 citations), Cancer Research (217 citations), Neurology (114 citations), Developmental Neuroscience (27 citations) and Molecular Biology (463 citations). Chengcheng Cui has collaborated with scholars based in China and United States. Frequent co-authors include Jieli Chen, Michael Chopp, Alex Zacharek, Poornima Venkat, Julie Landschoot‐Ward, Peng Yu, Xiaoping Yang, Jiang Xu, Tao Yan and Fengjie Wang. Their work appears in journals such as Stroke, Translational Stroke Research, Biochemical and Biophysical Research Communications, Bioresource Technology and PLoS ONE.
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.