Chia-Ching Lin

18 papers receiving 935 citations

Chia-Ching Lin's Hit Papers

Identification of diverse astrocyte populations and their malignant analogs 2017 · 373 citations
3730+3+6Years since publication100200300

Peers

Chia-Ching Lin
Comparison fields: 5 of 91
  • Developmental Neuroscience 157
  • Neurology 289
  • Cellular and Molecular Neuroscience 213
  • Biological Psychiatry 26
  • Pharmacology 133
Replace Rita Lo with:
Rita Lo Canada
Jinpyo Hong South Korea
Gourav Roy Choudhury United States
Yingyan Pu China
Jian Shi China
Andrew A. Sproul United States
Laura Taylor Alto United States
Carolanne E. Milligan United States
Andrew J. Petersen United States
Martine Pinçon‐Raymond France
Chia-Ching Lin relative to Rita Lo Canada Rita Lo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chia-Ching Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chia-Ching Lin Line = papers co-authored together Chia-Ching Lin links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Identification of diverse astrocyte populations and their malignant analogs
Hit paper breakdown →
2017373
2 2004139
3 2020102
4 2021101
5 201185
6 200933
7 201119
8 202114
9 201314
10 201013
11 202112
12 201312
13 201311
14 20128
15 20184
16 20144
17 20161
18 20141
19 20240

About Chia-Ching Lin

Chia-Ching Lin is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 19 papers that have together received 946 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), T-cell and B-cell Immunology (2 papers), Rabies epidemiology and control (2 papers), Pain Mechanisms and Treatments (2 papers), Virology and Viral Diseases (2 papers) and Fungal Biology and Applications (2 papers). The work is most often cited by research in Developmental Neuroscience (157 citations), Neurology (289 citations), Cellular and Molecular Neuroscience (213 citations), Biological Psychiatry (26 citations) and Pharmacology (133 citations). Chia-Ching Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Benjamin Deneen, Fengju Chen, Carrie Mohila, Wenyi Zhu, Jeffrey Carlson, Chad J. Creighton, Nabil Ahmed, Kwanha Yu, Akash J. Patel and Teng-Wei Huang. Their work appears in journals such as International Immunopharmacology, Proceedings of the National Academy of Sciences, Blood, International Journal of Radiation Oncology*Biology*Physics and Journal of Neurophysiology.

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.

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