Chia-Ching John Lin

1.4k citations
22 papers · 1.1k · 1 hit paper · h-index 13

Impact in

Papers in

    • Glioma Diagnosis and Treatment 3
    • interferon and immune responses 3
    • T-cell and B-cell Immunology 2

Chia-Ching John Lin

19 papers receiving 1.1k citations

Chia-Ching John Lin's Hit Papers

Identification of diverse astrocyte populations and their malignant analogs 2017 · 425 citations
4250+3+6Years since publication100200300400

Peers

Chia-Ching John Lin
Comparison fields: 5 of 80
  • Developmental Neuroscience 72
  • Neurology 170
  • Genetics 114
  • Cellular and Molecular Neuroscience 181
  • Pharmacology 123
Replace Martina Moeton with:
Martina Moeton Netherlands
Claudiana Lameu Brazil
Diego Clemente Spain
Jeha Jeon South Korea
Simone Pacioni Italy
Tali Ben‐Zur Israel
Harald Frankowski United States
Rita Pepponi Italy
Xiaosheng He China
Rodrigo Herrera‐Molina Chile
Chia-Ching John Lin relative to Martina Moeton Netherlands Martina Moeton's profile →
Citations per field
00.5×2×2.7×
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Citations per year

Countries citing papers authored by Chia-Ching John Lin

Since Specialization
Citations

This map shows the geographic impact of Chia-Ching John 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 John 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 John Lin more than expected).

Fields of papers citing papers by Chia-Ching John Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Ching John 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 John Lin. The network helps show where Chia-Ching John Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Chia-Ching John 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 John Lin Line = papers co-authored together Chia-Ching John Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of diverse astrocyte populations and their malignant analogs
Hit paper breakdown →
2017425
2 2004146
3 2020115
4 2021115
5 201187
6 202275
7 200939
8 201119
9 201316
10 201015
11 202115
12 202115
13 201313
14 201312
15 20128
16 20185
17 20144
18 20162
19 20141
20 20240

About Chia-Ching John Lin

Chia-Ching John Lin is a scholar working on Genetics, Immunology, Cellular and Molecular Neuroscience, Physiology and Neurology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Glioma Diagnosis and Treatment (3 papers), interferon and immune responses (3 papers), RNA Research and Splicing (2 papers), T-cell and B-cell Immunology (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Pain Mechanisms and Treatments (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Developmental Neuroscience (72 citations), Neurology (170 citations), Genetics (114 citations), Cellular and Molecular Neuroscience (181 citations) and Pharmacology (123 citations). Chia-Ching John Lin has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Benjamin Deneen, Carrie Mohila, Fengju Chen, Kwanha Yu, Matthew C. Weston, Wenyi Zhu, Jeffrey C. Carlson, Jeffrey L. Noebels, Hyun Kyoung Lee and Yiqun Zhang. Their work appears in journals such as International Immunopharmacology, Proceedings of the National Academy of Sciences, Blood, Stem Cell Research & Therapy and Nature Communications.

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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