Linlin Wang
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Genetics top 10%
Papers in
-
- Pluripotent Stem Cells Research 6
- Mitochondrial Function and Pathology 5
- Circular RNAs in diseases 5
-
- Spinal Cord Injury Research 9
- Co-authors
- Yingying Chen (20 shared papers)Tengfei Zhao (5 shared papers)Jingyu Wang (10 shared papers)Jinjie Zhong (12 shared papers)Yue‐Liang Shen (16 shared papers)Xingjia Mao (6 shared papers)Shining Xiao (2 shared papers)Chenggui Wang (2 shared papers)
- Journals
- Life Sciences (3 papers)PLoS ONE (2 papers)Oncotarget (2 papers)IEEE Electron Device Letters (2 papers)Journal of Advanced Research (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Linlin Wang
77 papers receiving 2.0k citations
Linlin Wang's Hit Papers
Peers
Comparison fields: 5 of 126
- Biomaterials 183
- Genetics 135
- Developmental Neuroscience 48
- Pathology and Forensic Medicine 202
- Neurology 95
Countries citing papers authored by Linlin Wang
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
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-authors
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.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gelatin Methacrylate (GelMA)-Based Hydrogels for Cell Transplantation: an Effective Strategy for Tissue Engineering Hit paper breakdown → | 2019 | 300 |
| 2 | 2009 | 134 | |
| 3 | 2013 | 107 | |
| 4 | 2006 | 97 | |
| 5 | 2018 | 72 | |
| 6 | 2022 | 69 | |
| 7 | 2020 | 67 | |
| 8 | 2013 | 58 | |
| 9 | 2022 | 58 | |
| 10 | 2018 | 56 | |
| 11 | 2013 | 48 | |
| 12 | 2021 | 44 | |
| 13 | 2022 | 44 | |
| 14 | 2021 | 40 | |
| 15 | 2020 | 35 | |
| 16 | 2020 | 32 | |
| 17 | 2022 | 31 | |
| 18 | 2021 | 30 | |
| 19 | 2016 | 28 | |
| 20 | 2018 | 28 |
About Linlin Wang
Linlin Wang is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Surgery and Cell Biology, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (9 papers), Nerve injury and regeneration (6 papers), Cancer-related molecular mechanisms research (6 papers), Pluripotent Stem Cells Research (6 papers), Mitochondrial Function and Pathology (5 papers), MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Biomaterials (183 citations), Genetics (135 citations), Developmental Neuroscience (48 citations), Pathology and Forensic Medicine (202 citations) and Neurology (95 citations). Linlin Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yingying Chen, Tengfei Zhao, Jingyu Wang, Jinjie Zhong, Yue‐Liang Shen, Xingjia Mao, Shining Xiao, Chenggui Wang, Jiangtao Lin and Kan Xu. Their work appears in journals such as Life Sciences, PLoS ONE, Oncotarget, IEEE Electron Device Letters 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.