Yanqin Wang

1.1k citations
41 papers · 789 indexed · h-index 15
Topics
Liver Disease Diagnosis and Treatment (4 papers)Research in Cotton Cultivation (3 papers)Parkinson's Disease Mechanisms and Treatments (3 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Yanqin Wang

40 papers receiving 783 citations

Peers

Yanqin Wang
Comparison fields: 5 of 111
  • Molecular Biology 333
  • Biomedical Engineering 157
  • Materials Chemistry 133
  • Cell Biology 100
  • Neurology 87
Replace Philip Manning with:
Philip Manning United Kingdom
Katja Bernfur Sweden
Fereshteh Moradi Canada
Ji Hye Hong South Korea
Xiang Yi United States
Emanuela Cazzaniga Italy
Yiran Wang China
Huiling Gao China
Daisuke Takahashi Japan
Yanqin Wang relative to Philip Manning United Kingdom Philip Manning's profile →
Citations per field
00.5×1.5×2.3×
Philip Manning · 1×
Citations per year

Countries citing papers authored by Yanqin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanqin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanqin Wang. A scholar is included among the top collaborators of Yanqin Wang 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 Yanqin Wang. Yanqin Wang 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
#WorkIndexed citations
1 11
2 9
3 3
4 13
5 25
6 39
7 3
8 1
9 26
10 21
11 22
12 7
13 44
14 10
15 6
16 6
17
A comparison between multi-directional mechanical traction and longitudinal traction for treatment of lumbar disc herniation: a randomized clinical trial with parallel-group design
2
18 1
19 182
20 6

About Yanqin Wang

Yanqin Wang is a scholar working on Anatomy, Complementary and Manual Therapy and Nephrology, having authored 41 papers that have together received 789 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Research in Cotton Cultivation (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Cell Biology (100 citations), Neurology (87 citations) and Molecular Biology (333 citations). Yanqin Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lani F. Wu, Steven J. Altschuler, Sigurd Angenent, Xiaohui Liu, Jiawen Ren, Jinhu Chen, Guanzhong Lu, Jianjian Wang, Guanzhong Lu and Zhenlong Guan. Their work appears in journals such as Nature, Langmuir and Scientific Reports.

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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