Lingbin Wang

454 citations
13 papers · 316 · h-index 9

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • Muscle Physiology and Disorders 2
    • Coenzyme Q10 studies and effects 1
    • Animal Genetics and Reproduction 3

Lingbin Wang

12 papers receiving 314 citations

Peers

Lingbin Wang
Comparison fields: 5 of 91
  • Rehabilitation 35
  • Molecular Biology 176
  • Genetics 22
  • Physiology 42
  • Cellular and Molecular Neuroscience 29
Replace Rosa Meijide-Faílde with:
Rosa Meijide-Faílde Spain
Qingsong Zhao China
Tuan Anh Vuong South Korea
Yunpeng Wei China
Qingqing Yang China
Carlos Hermano J. Pinheiro Portugal
Nianhong Wang China
Younghee Choi South Korea
Immacolata Porreca Italy
Jiayi Qiu China
Lingbin Wang relative to Rosa Meijide-Faílde Spain Rosa Meijide-Faílde's profile →
Citations per field
00.5×4.1×
Rosa Meijide-Faílde · 1×
Citations per year

Countries citing papers authored by Lingbin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingbin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lingbin 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 Lingbin Wang Line = papers co-authored together Lingbin Wang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201891
2 201753
3 201950
4 201834
5 201831
6 201114
7 201014
8 201812
9 20098
10 20184
11 20223
12 20242
13 20130

About Lingbin Wang

Lingbin Wang is a scholar working on Molecular Biology, Genetics, Genetics, Cellular and Molecular Neuroscience and Water Science and Technology, having authored 13 papers that have together received 316 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (3 papers), CRISPR and Genetic Engineering (3 papers), Muscle Physiology and Disorders (2 papers), Nerve injury and regeneration (2 papers), Water Quality Monitoring Technologies (2 papers), Coenzyme Q10 studies and effects (1 paper), Genetically Modified Organisms Research (1 paper) and Water Quality Monitoring and Analysis (1 paper). The work is most often cited by research in Rehabilitation (35 citations), Molecular Biology (176 citations), Genetics (22 citations), Physiology (42 citations) and Cellular and Molecular Neuroscience (29 citations). Lingbin Wang has collaborated with scholars based in China and Thailand. Frequent co-authors include Hualin Sun, Xiaoming Yang, Jiaying Qiu, Changyue Wu, Qingqing Fang, Tongtong Xu, Fei Ding, Wenjing Ma, Shu Yu and Lai Xu. Their work appears in journals such as Molecular Biology Reports, Saudi Journal of Biological Sciences, Haematologica, Asian-Australasian Journal of Animal Sciences and Annals of Translational Medicine.

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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