Chia-Ching Lin
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Benjamin Deneen (3 shared papers)Fengju Chen (1 shared paper)Matthew C. Weston (1 shared paper)Akash J. Patel (1 shared paper)Yiqun Zhang (1 shared paper)Wenyi Zhu (1 shared paper)Nabil Ahmed (1 shared paper)Carrie Mohila (1 shared paper)
- Journals
- International Immunopharmacology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Stem Cell Research & Therapy (1 paper)Blood (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Chia-Ching Lin
18 papers receiving 974 citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 159
- Neurology 281
- Biological Psychiatry 29
- Cellular and Molecular Neuroscience 210
- Pharmacology 134
Countries citing papers authored by Chia-Ching Lin
This map shows the geographic impact of Chia-Ching 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 Chia-Ching Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Ching Lin more than expected).
Fields of papers citing papers by Chia-Ching Lin
This network shows the impact of papers produced by Chia-Ching 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 Chia-Ching Lin. The network helps show where Chia-Ching Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia-Ching 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 388 | |
| 2 | 2004 | 146 | |
| 3 | 2021 | 108 | |
| 4 | 2020 | 107 | |
| 5 | 2011 | 86 | |
| 6 | 2009 | 36 | |
| 7 | 2011 | 19 | |
| 8 | 2013 | 17 | |
| 9 | 2010 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2013 | 11 | |
| 14 | 2012 | 9 | |
| 15 | 2014 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2014 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Chia-Ching Lin
Chia-Ching Lin is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Epidemiology and Neurology, having authored 20 papers that have together received 990 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Immune Cell Function and Interaction (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Virology and Viral Diseases (2 papers), T-cell and B-cell Immunology (2 papers), Rabies epidemiology and control (2 papers), Pain Mechanisms and Treatments (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Developmental Neuroscience (159 citations), Neurology (281 citations), Biological Psychiatry (29 citations), Cellular and Molecular Neuroscience (210 citations) and Pharmacology (134 citations). Chia-Ching Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Benjamin Deneen, Fengju Chen, Matthew C. Weston, Akash J. Patel, Yiqun Zhang, Wenyi Zhu, Nabil Ahmed, Carrie Mohila, Benjamin R. Arenkiel and Jeffrey Carlson. Their work appears in journals such as International Immunopharmacology, Proceedings of the National Academy of Sciences, Stem Cell Research & Therapy, Blood and European Journal of Neuroscience.
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.