Linlin Wang

2.5k citations
78 papers · 1.9k indexed · 1 hit paper · h-index 23

Impact in

  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Linlin Wang

77 papers receiving 1.9k citations

Hit Papers

Gelatin Methacrylate (GelMA)-Based Hydrogels for Cell Transplantation: an Effective Strategy for Tissue Engineering 2019 · 294 citations
294201920262021202350100150200250

Peers

Linlin Wang
Comparison fields: 5 of 126
  • Biomaterials 184
  • Genetics 147
  • Developmental Neuroscience 54
  • Neurology 105
  • Molecular Biology 871
Replace Tengfei Zhao with:
Tengfei Zhao China
Chia‐Ching Wu Taiwan
Yonghyun Kim South Korea
Yi Shen China
Shiqing Feng China
Yongzhe Che China
Young C. Jang United States
Linlin Wang relative to Tengfei Zhao China Tengfei Zhao's profile →
Citations per field
00.5×1.5×1.8×
Tengfei Zhao · 1×
Citations per year

Countries citing papers authored by Linlin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20252
3 20249
4 202410
5 20233
6 20232
7 202231
8 20221
9 202144
10 20217
11 202136
12 202011
13 20204
14 201913
15 20195
16 20189
17 20169
18 201326
19 201217
20 2009134

About Linlin Wang

Linlin Wang is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine, Genetics, Aging and Molecular Biology, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (10 papers), Nerve injury and regeneration (6 papers), Mitochondrial Function and Pathology (6 papers), Cancer-related molecular mechanisms research (6 papers), Pluripotent Stem Cells Research (6 papers), Mesenchymal stem cell research (6 papers), MicroRNA in disease regulation (5 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Biomaterials (184 citations), Genetics (147 citations), Developmental Neuroscience (54 citations), Neurology (105 citations) and Molecular Biology (871 citations). Linlin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yingying Chen, Tengfei Zhao, Jingyu Wang, Yue‐Liang Shen, Jiangtao Lin, Jinjie Zhong, Xingjia Mao, Kan Xu, Shining Xiao and Chenggui Wang. Their work appears in journals such as Life Sciences, Communications Biology, Stem Cell Research & Therapy, Frontiers in Neurology and Journal of Advanced 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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