Lijun Cui

502 total citations
28 papers, 365 citations indexed

About

Lijun Cui is a scholar working on Molecular Biology, Ophthalmology and Rehabilitation. According to data from OpenAlex, Lijun Cui has authored 28 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Ophthalmology and 6 papers in Rehabilitation. Recurrent topics in Lijun Cui's work include Stroke Rehabilitation and Recovery (6 papers), Connective Tissue Growth Factor Research (4 papers) and Sexual function and dysfunction studies (3 papers). Lijun Cui is often cited by papers focused on Stroke Rehabilitation and Recovery (6 papers), Connective Tissue Growth Factor Research (4 papers) and Sexual function and dysfunction studies (3 papers). Lijun Cui collaborates with scholars based in China, Australia and Macao. Lijun Cui's co-authors include Qianyan Kang, Qing Xie, Bo Ma, Qin Li, Tong Wang, Chuanxin M. Niu, Si Li, Ning Lan, Jixian Wang and Wuwei Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Journal of Affective Disorders.

In The Last Decade

Lijun Cui

27 papers receiving 364 citations

Peers

Lijun Cui
Comparison fields: 5 of 90
  • Molecular Biology 86
  • Rehabilitation 86
  • Biomedical Engineering 69
  • Ophthalmology 66
  • Cognitive Neuroscience 58
Replace Katherine M. Burke with:
Katherine M. Burke United States
Renu Bhatia India
Dale R Fish United States
Michelle Fabian United States
Antonio Viñuela Spain
Emanuele Spina Italy
Roopa Rajan India
Bülent Çengiz Türkiye
Bich Hong Nguyen Canada
Danielle Kerkovich United States
Katherine M. Burke United States View profile →
Citations per field, relative to Lijun Cui
Lijun Cui · 1×
Citations per year, relative to Lijun Cui
Lijun Cui · 1×

Countries citing papers authored by Lijun Cui

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Cui. A scholar is included among the top collaborators of Lijun 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 Lijun Cui. Lijun 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 1
3 1
4 2
5 3
6 4
7 9
8 3
9 43
10 22
11 19
12 1
13 1
14 13
15 50
16 24
17 10
18 14
19 24
20 24

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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