Xiaopei Cui

1.6k total citations
43 papers, 1.2k citations indexed

About

Xiaopei Cui is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Xiaopei Cui has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Xiaopei Cui's work include Pulmonary Hypertension Research and Treatments (6 papers), Cancer-related molecular mechanisms research (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). Xiaopei Cui is often cited by papers focused on Pulmonary Hypertension Research and Treatments (6 papers), Cancer-related molecular mechanisms research (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). Xiaopei Cui collaborates with scholars based in China, United States and Australia. Xiaopei Cui's co-authors include Zhen Chen, Shu Chien, I‐Chen Peng, Yi‐Shuan Li, Haiqing Gao, Hongyang Du, Deyue Yu, Hui Yang, Hao Cheng and Qing Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The FASEB Journal.

In The Last Decade

Xiaopei Cui

38 papers receiving 1.1k citations

Peers

Xiaopei Cui
Comparison fields: 5 of 96
  • Molecular Biology 595
  • Physiology 207
  • Cancer Research 195
  • Plant Science 156
  • Epidemiology 108
Replace Baolin Liu with:
Baolin Liu China
Mi‐Young Jeong South Korea
Bon-Hong Min South Korea
Joe Eun Son South Korea
Subhrojit Sen India
Yueh-Min Lin Taiwan
Bingxian Xie United States
Eun Sil Kang South Korea
Xue Dong China
Daniel Schachner Austria
Baolin Liu China View profile →
Citations per field, relative to Xiaopei Cui
Xiaopei Cui · 1×
Citations per year, relative to Xiaopei Cui
Xiaopei Cui · 1×

Countries citing papers authored by Xiaopei Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopei Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopei Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopei Cui. A scholar is included among the top collaborators of Xiaopei 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 Xiaopei Cui. Xiaopei 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 0
2 6
3 2
4 0
5 4
6 6
7 4
8 11
9 14
10 37
11 6
12 7
13 25
14 3
15 167
16 28
17 25
18 234
19 34
20 75

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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