Weibin Liu

1.7k total citations
105 papers, 1.0k citations indexed

About

Weibin Liu is a scholar working on Neurology, Infectious Diseases and Immunology. According to data from OpenAlex, Weibin Liu has authored 105 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Neurology, 21 papers in Infectious Diseases and 14 papers in Immunology. Recurrent topics in Weibin Liu's work include Myasthenia Gravis and Thymoma (59 papers), Peripheral Neuropathies and Disorders (20 papers) and Parkinson's Disease and Spinal Disorders (20 papers). Weibin Liu is often cited by papers focused on Myasthenia Gravis and Thymoma (59 papers), Peripheral Neuropathies and Disorders (20 papers) and Parkinson's Disease and Spinal Disorders (20 papers). Weibin Liu collaborates with scholars based in China, United States and Germany. Weibin Liu's co-authors include Xin Huang, Huiyu Feng, Qiu Li, Chuanming Luo, Tao Liu, Yiyong Chen, Yingkai Li, Juan Ouyang, Haiyan Wang and Yan Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Weibin Liu

98 papers receiving 1.0k citations

Peers

Weibin Liu
Comparison fields: 5 of 136
  • Neurology 491
  • Infectious Diseases 182
  • Immunology 143
  • Surgery 110
  • Epidemiology 76
Replace Mark Willis with:
Mark Willis United Kingdom
Jody E. Hooper United States
R.J.S. Chinn United Kingdom
Lan Yang China
Yuichi Takahashi Japan
Chandan J. Das India
Ian Forrest United Kingdom
Diangeng Li China
Jared M. Lucas United States
Wataru Ishii Japan
Mark Willis United Kingdom View profile →
Citations per field, relative to Weibin Liu
Weibin Liu · 1×
Citations per year, relative to Weibin Liu
Weibin Liu · 1×

Countries citing papers authored by Weibin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weibin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weibin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weibin Liu. A scholar is included among the top collaborators of Weibin Liu 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 Weibin Liu. Weibin Liu 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 3
3 1
4 0
5 19
6 3
7 7
8 6
9 20
10 4
11 5
12 41
13 5
14 31
15
[Clinical study and case follow-up of 61 cases of familial myasthenia gravis in 28 families].
1
16 10
17 48
18 1
19 8
20 22

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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