Ruixia Cui

1.8k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Ruixia Cui is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Ruixia Cui has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Hepatology. Recurrent topics in Ruixia Cui's work include Liver Disease Diagnosis and Treatment (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Inflammasome and immune disorders (4 papers). Ruixia Cui is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Inflammasome and immune disorders (4 papers). Ruixia Cui collaborates with scholars based in China and United Kingdom. Ruixia Cui's co-authors include Jingyao Zhang, Kai Qu, Risheng Wang, Hongying Meng, Asoke K. Nandi, Tao Lei, Bingtao Zhang, Yifan Jia, Yang Feng and Yingmu Tong and has published in prestigious journals such as Oncotarget, Frontiers in Pharmacology and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Ruixia Cui

26 papers receiving 1.3k citations

Hit Papers

Medical image segmentation using deep learning: A survey 2022 2026 2023 2024 2022 100 200 300 400

Peers

Ruixia Cui
Comparison fields: 5 of 131
  • Molecular Biology 510
  • Computer Vision and Pattern Recognition 212
  • Epidemiology 171
  • Radiology, Nuclear Medicine and Imaging 171
  • Artificial Intelligence 152
Replace Hyoeun Kim with:
Hyoeun Kim South Korea
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Xiang Ma China
Jingyuan Zhao China
Johannes Lotz Germany
Yuanyuan Chen China
Ji‐Ye Kim South Korea
Zongfang Li China
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Hyoeun Kim South Korea View profile →
Citations per field, relative to Ruixia Cui
Ruixia Cui · 1×
Citations per year, relative to Ruixia Cui
Ruixia Cui · 1×

Countries citing papers authored by Ruixia Cui

Since Specialization
Citations

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

Fields of papers citing papers by Ruixia Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruixia Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Ruixia Cui. A scholar is included among the top collaborators of Ruixia Cui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruixia Cui. Ruixia Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 31
3 7
4 3
5 46
6
Medical image segmentation using deep learning: A survey breakdown →
406
7 4
8 7
9 249
10 6
11 5
12 86
13 14
14 34
15 18
16 49
17 58
18 44
19 22
20 11

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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