Shan Ye

1.6k citations
64 papers · 1.3k · h-index 18

Impact in

    • Wound Healing and Treatments
    • Electrospun Nanofibers in Biomedical Applications
    • Advanced Cellulose Research Studies
    • Nanocomposite Films for Food Packaging
    • biodegradable polymer synthesis and properties

Papers in

Shan Ye

60 papers receiving 1.3k citations

Peers

Shan Ye
Comparison fields: 5 of 117
  • Rehabilitation 199
  • Biomaterials 409
  • Neurology 314
  • Genetics 139
  • Neurology 93
Replace Yongzhe Che with:
Yongzhe Che China
Yuan‐Shan Zeng China
Massimiliano De Paola Italy
Ilaria Dal Prà Italy
Xueyu Hu China
Jianfeng Liu China
Yikun Ren China
Zengjie Zhang China
Wenrui Qu China
Yiyang Li China
Shan Ye relative to Yongzhe Che China Yongzhe Che's profile →
Citations per field
00.5×3.6×
Yongzhe Che · 1×
Citations per year

Countries citing papers authored by Shan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018206
2 2017109
3 2015101
4 201998
5 201873
6 201661
7 201539
8 201336
9 201436
10 201832
11 201532
12 202132
13 202226
14 202126
15 202122
16 202122
17 201319
18 201718
19 202017
20 202117

About Shan Ye

Shan Ye is a scholar working on Neurology, Molecular Biology, Genetics, Physiology and Biomaterials, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (16 papers), Neurogenetic and Muscular Disorders Research (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Advanced Cellulose Research Studies (4 papers), Asthma and respiratory diseases (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Cancer-related molecular mechanisms research (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Rehabilitation (199 citations), Biomaterials (409 citations), Neurology (314 citations), Genetics (139 citations) and Neurology (93 citations). Shan Ye has collaborated with scholars based in China, Egypt and Hong Kong. Frequent co-authors include Wei Shao, Lei Jiang, Chen Su, Jimin Wu, Xiufeng Liu, Dongsheng Fan, Chaobo Huang, Lu Tang, Yanyi Wen and Zhongjie Zhu. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Heart, PLoS ONE, Neurobiology of Aging 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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