Xiaoxiao Cui

35 papers receiving 261 citations

Peers

Xiaoxiao Cui
Comparison fields: 5 of 97
  • Molecular Medicine 15
  • Genetics 40
  • Developmental Biology 3
  • Computational Mechanics 27
  • Polymers and Plastics 17
Replace Mengyue Chen with:
Mengyue Chen China
Y. Abe Japan
Lin Hou China
Yoonmi Hong United States
Sixiang Wang China
Hiroshi Kitagawa Japan
Yuchong Zhang Sweden
Zhongyue Chen China
Rohan Shad United States
Xiaoxiao Cui relative to Mengyue Chen China Mengyue Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoxiao Cui

Since Specialization
Citations

This map shows the geographic impact of Xiaoxiao 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 Xiaoxiao Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxiao Cui more than expected).

Fields of papers citing papers by Xiaoxiao Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoxiao 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 Xiaoxiao Cui. The network helps show where Xiaoxiao Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoxiao Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoxiao Cui Line = papers co-authored together Xiaoxiao Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201846
2 202217
3 202217
4 202216
5 201716
6 202115
7 202013
8 202012
9
Ceramide synthase 6 predicts poor prognosis and activates the AKT/mTOR/4EBP1 pathway in high-grade serous ovarian cancer.
202012
10 20239
11 20248
12 20248
13 20227
14 20216
15 20196
16
High expression of ZNF93 promotes proliferation and migration of ovarian cancer cells and relates to poor prognosis.
20206
17 20185
18 20165
19 20165
20 20254

About Xiaoxiao Cui

Xiaoxiao Cui is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Mechanics of Materials, having authored 37 papers that have together received 261 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Fluid Dynamics Simulations and Interactions (2 papers), Advanced Measurement and Detection Methods (2 papers), Advanced Neural Network Applications (2 papers), MRI in cancer diagnosis (2 papers), RNA modifications and cancer (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Molecular Medicine (15 citations), Genetics (40 citations), Developmental Biology (3 citations), Computational Mechanics (27 citations) and Polymers and Plastics (17 citations). Xiaoxiao Cui has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Jing Luan, Jinxiang Han, Liang Shi, Yazhou Cui, Xiaoyan Zhou, Rong Zhang, Fei Gu, Xin Xing, Zhi Liu and Xiong Zhang. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Epilepsy Research, International Journal of Food Microbiology, IEEE Journal of Biomedical and Health Informatics and Knowledge-Based Systems.

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.

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