Jin‐Lang Wu
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
Papers in
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- Nerve injury and regeneration 16
- Hereditary Neurological Disorders 2
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- Neurogenesis and neuroplasticity mechanisms 12
- Co-authors
- Yuan‐Shan Zeng (18 shared papers)Eng‐Ang Ling (13 shared papers)Junmei Wang (7 shared papers)Bi‐Qin Lai (6 shared papers)Xiang Zeng (5 shared papers)Ying Ding (6 shared papers)Xuecheng Qiu (5 shared papers)Yuan‐Huan Ma (4 shared papers)
- Journals
- Biomaterials (6 papers)PLoS ONE (2 papers)Journal of Biomedical Materials Research Part A (2 papers)Journal of Neurotrauma (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jin‐Lang Wu
22 papers receiving 921 citations
Peers
Comparison fields: 5 of 75
- Developmental Neuroscience 210
- Cellular and Molecular Neuroscience 565
- Pathology and Forensic Medicine 335
- Genetics 164
- Biomaterials 168
Countries citing papers authored by Jin‐Lang Wu
This map shows the geographic impact of Jin‐Lang Wu'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 Jin‐Lang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Lang Wu more than expected).
Fields of papers citing papers by Jin‐Lang Wu
This network shows the impact of papers produced by Jin‐Lang Wu. 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 Jin‐Lang Wu. The network helps show where Jin‐Lang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐Lang Wu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 114 | |
| 2 | 2018 | 91 | |
| 3 | 2015 | 89 | |
| 4 | 2009 | 78 | |
| 5 | 2016 | 65 | |
| 6 | 2007 | 58 | |
| 7 | 2011 | 56 | |
| 8 | 2013 | 43 | |
| 9 | 2015 | 40 | |
| 10 | 2011 | 35 | |
| 11 | 2013 | 34 | |
| 12 | 2012 | 33 | |
| 13 | 2015 | 32 | |
| 14 | 2011 | 31 | |
| 15 | 2016 | 30 | |
| 16 | 2014 | 30 | |
| 17 | 2014 | 20 | |
| 18 | 2015 | 20 | |
| 19 | 2015 | 18 | |
| 20 | 2016 | 11 |
About Jin‐Lang Wu
Jin‐Lang Wu is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Pathology and Forensic Medicine, Genetics and Biomaterials, having authored 22 papers that have together received 936 indexed citations. Recurring topics across this work include Nerve injury and regeneration (16 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Spinal Cord Injury Research (8 papers), Mesenchymal stem cell research (4 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Cell Adhesion Molecules Research (2 papers), Hereditary Neurological Disorders (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Developmental Neuroscience (210 citations), Cellular and Molecular Neuroscience (565 citations), Pathology and Forensic Medicine (335 citations), Genetics (164 citations) and Biomaterials (168 citations). Jin‐Lang Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yuan‐Shan Zeng, Eng‐Ang Ling, Junmei Wang, Bi‐Qin Lai, Xiang Zeng, Ying Ding, Xuecheng Qiu, Yuan‐Huan Ma, Bao-Ling Du and Daping Quan. Their work appears in journals such as Biomaterials, PLoS ONE, Journal of Biomedical Materials Research Part A, Journal of Neurotrauma and Stem Cell Research & Therapy.
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.