Junquan Lin
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Biomaterials 10
- Electrospun Nanofibers in Biomedical Applications 8
-
- Nerve injury and regeneration 11
- Co-authors
- Sing Yian Chew (23 shared papers)Wutian Wu (4 shared papers)Ulla Milbreta (9 shared papers)Jun Wang (3 shared papers)Lan Huong Nguyen (2 shared papers)Mingyong Gao (1 shared paper)Na Zhang (8 shared papers)Coline Pinese (5 shared papers)
- Journals
- Advanced Science (3 papers)Biomaterials Science (3 papers)Acta Biomaterialia (3 papers)Journal of Tissue Engineering (2 papers)Materials Science and Engineering C (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Junquan Lin
23 papers receiving 713 citations
Peers
Comparison fields: 5 of 71
- Biomaterials 284
- Developmental Neuroscience 66
- Cellular and Molecular Neuroscience 246
- Molecular Medicine 34
- Pathology and Forensic Medicine 100
Countries citing papers authored by Junquan Lin
This map shows the geographic impact of Junquan Lin'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 Junquan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junquan Lin more than expected).
Fields of papers citing papers by Junquan Lin
This network shows the impact of papers produced by Junquan Lin. 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 Junquan Lin. The network helps show where Junquan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junquan Lin, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 171 | |
| 2 | 2018 | 98 | |
| 3 | 2021 | 70 | |
| 4 | 2018 | 58 | |
| 5 | 2016 | 43 | |
| 6 | 2021 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 31 | |
| 10 | 2018 | 26 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 18 | |
| 13 | 2018 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2022 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2020 | 4 | |
| 20 | 2019 | 3 |
About Junquan Lin
Junquan Lin is a scholar working on Biomaterials, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Developmental Neuroscience and Molecular Biology, having authored 24 papers that have together received 723 indexed citations. Recurring topics across this work include Nerve injury and regeneration (11 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Spinal Cord Injury Research (7 papers), RNA Interference and Gene Delivery (7 papers), Tissue Engineering and Regenerative Medicine (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Muscle activation and electromyography studies (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Biomaterials (284 citations), Developmental Neuroscience (66 citations), Cellular and Molecular Neuroscience (246 citations), Molecular Medicine (34 citations) and Pathology and Forensic Medicine (100 citations). Junquan Lin has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Sing Yian Chew, Wutian Wu, Ulla Milbreta, Jun Wang, Lan Huong Nguyen, Mingyong Gao, Na Zhang, Coline Pinese, Jiah Shin Chin and William Ong. Their work appears in journals such as Advanced Science, Biomaterials Science, Acta Biomaterialia, Journal of Tissue Engineering and Materials Science and Engineering C.
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.