Liyan Wang

666 citations
41 papers · 472 · h-index 14

Impact in

Papers in

Liyan Wang

38 papers receiving 460 citations

Peers

Liyan Wang
Comparison fields: 5 of 104
  • Biological Psychiatry 120
  • Behavioral Neuroscience 68
  • Developmental Neuroscience 58
  • Neurology 79
  • Sensory Systems 26
Replace John H. Mahoney with:
John H. Mahoney United States
Xiaoguang Wang China
Sulail Fatima Iran
Xiaoman Dai China
Wenting Fang China
Ruozhi Dang China
Mariaserena Boraso Italy
Darcy Litteljohn Canada
Wen Hu China
Xiao-Dong Peng China
Liyan Wang relative to John H. Mahoney United States John H. Mahoney's profile →
Citations per field
00.5×4.3×
John H. Mahoney · 1×
Citations per year

Countries citing papers authored by Liyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liyan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liyan Wang Line = papers co-authored together Liyan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202055
2 201950
3 201634
4 200132
5 202128
6 201928
7 202025
8 200922
9 200820
10 201320
11 202019
12 202219
13 202018
14 202216
15 202313
16 20169
17 20239
18 20248
19 20205
20 20155

About Liyan Wang

Liyan Wang is a scholar working on Neurology, Cognitive Neuroscience, Biological Psychiatry, Management Information Systems and Behavioral Neuroscience, having authored 41 papers that have together received 472 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Tryptophan and brain disorders (7 papers), Stress Responses and Cortisol (6 papers), Hearing Loss and Rehabilitation (5 papers), Hearing Impairment and Communication (5 papers), Corporate Finance and Governance (4 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and ERP Systems Implementation and Impact (4 papers). The work is most often cited by research in Biological Psychiatry (120 citations), Behavioral Neuroscience (68 citations), Developmental Neuroscience (58 citations), Neurology (79 citations) and Sensory Systems (26 citations). Liyan Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Shu Yan Yu, Cuiqin Fan, Zhijun Lin, Jie Shen, Peng Wang, Ye Li, Tian Lan, Wenqin Cai, Zhijun Tang and Wenjing Wang. Their work appears in journals such as International Journal of Pediatric Otorhinolaryngology, Journal of Neuroinflammation, Applied Sciences, Journal of Integrative Neuroscience and Neuroscience Research.

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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