Shawn Lim
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Pluripotent Stem Cells Research 2
- RNA Interference and Gene Delivery 2
-
- Electrospun Nanofibers in Biomedical Applications 5
- Silk-based biomaterials and applications 1
- Co-authors
- Hai‐Quan Mao (5 shared papers)Guillaume Hoeffel (1 shared paper)Florent Ginhoux (1 shared paper)Tara L. Huber (1 shared paper)Donovan Low (1 shared paper)Sing Yian Chew (1 shared paper)Jiang Xu (1 shared paper)Hongjun Song (1 shared paper)
- Journals
- Polymer (1 paper)Journal of Dermatological Science (1 paper)Advanced Drug Delivery Reviews (1 paper)Molecular Therapy (1 paper)Biomaterials (1 paper)
- Partner nations
- United StatesSingaporeFrance
In The Last Decade
Shawn Lim
9 papers receiving 1.7k citations
Shawn Lim's Hit Papers
Peers
Comparison fields: 5 of 102
- Neurology 428
- Developmental Neuroscience 175
- Biomaterials 569
- Biological Psychiatry 72
- Cellular and Molecular Neuroscience 472
Countries citing papers authored by Shawn Lim
This map shows the geographic impact of Shawn Lim'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 Shawn Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn Lim more than expected).
Fields of papers citing papers by Shawn Lim
This network shows the impact of papers produced by Shawn Lim. 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 Shawn Lim. The network helps show where Shawn Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Shawn Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Origin and differentiation of microglia Hit paper breakdown → | 2013 | 670 |
| 2 | 2009 | 318 | |
| 3 | 2009 | 245 | |
| 4 | 2010 | 210 | |
| 5 | 2010 | 92 | |
| 6 | 2007 | 66 | |
| 7 | 2006 | 44 | |
| 8 | 2017 | 17 | |
| 9 | 2021 | 11 |
About Shawn Lim
Shawn Lim is a scholar working on Molecular Biology, Biomaterials, Surgery, Cell Biology and Developmental Neuroscience, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (5 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Silk-based biomaterials and applications (1 paper), Neuroscience and Neural Engineering (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Neurology (428 citations), Developmental Neuroscience (175 citations), Biomaterials (569 citations), Biological Psychiatry (72 citations) and Cellular and Molecular Neuroscience (472 citations). Shawn Lim has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Hai‐Quan Mao, Guillaume Hoeffel, Florent Ginhoux, Tara L. Huber, Donovan Low, Sing Yian Chew, Jiang Xu, Hongjun Song, Kevin J. Yarema and Gregory T. Christopherson. Their work appears in journals such as Polymer, Journal of Dermatological Science, Advanced Drug Delivery Reviews, Molecular Therapy and Biomaterials.
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.