Ryan G. Lim
Impact in
- Neurology top 5%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Mitochondrial Function and Pathology 6
- RNA Research and Splicing 4
- Pluripotent Stem Cells Research 3
- Ubiquitin and proteasome pathways 2
-
- Genetic Neurodegenerative Diseases 8
- Co-authors
- Leslie M. Thompson (11 shared papers)Jie Wu (8 shared papers)Clive N. Svendsen (2 shared papers)Gad D. Vatine (2 shared papers)Ernest Fraenkel (3 shared papers)Jennifer Stocksdale (3 shared papers)Malcolm Casale (4 shared papers)Amanda J. Kedaigle (2 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Human Molecular Genetics (2 papers)iScience (1 paper)Molecular Therapy (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Ryan G. Lim
17 papers receiving 556 citations
Peers
Comparison fields: 5 of 67
- Neurology 173
- Developmental Neuroscience 50
- Cellular and Molecular Neuroscience 151
- Neurology 74
- Molecular Biology 309
Countries citing papers authored by Ryan G. Lim
This map shows the geographic impact of Ryan G. 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 Ryan G. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan G. Lim more than expected).
Fields of papers citing papers by Ryan G. Lim
This network shows the impact of papers produced by Ryan G. 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 Ryan G. Lim. The network helps show where Ryan G. Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan G. 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 | 2017 | 191 | |
| 2 | 2017 | 167 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 35 | |
| 5 | 2021 | 28 | |
| 6 | 2019 | 25 | |
| 7 | 2021 | 18 | |
| 8 | 2019 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 0 |
About Ryan G. Lim
Ryan G. Lim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Pharmaceutical Science, having authored 18 papers that have together received 565 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Mitochondrial Function and Pathology (6 papers), RNA Research and Splicing (4 papers), Pluripotent Stem Cells Research (3 papers), Mesenchymal stem cell research (2 papers), 3D Printing in Biomedical Research (2 papers), Advancements in Transdermal Drug Delivery (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Neurology (173 citations), Developmental Neuroscience (50 citations), Cellular and Molecular Neuroscience (151 citations), Neurology (74 citations) and Molecular Biology (309 citations). Ryan G. Lim has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Leslie M. Thompson, Jie Wu, Clive N. Svendsen, Gad D. Vatine, Ernest Fraenkel, Jennifer Stocksdale, Malcolm Casale, Amanda J. Kedaigle, David E. Housman and Andrea M. Reyes-Ortiz. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Human Molecular Genetics, iScience, Molecular Therapy and Cell Reports.
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.