Chai-Ching Lin

454 citations
14 papers · 390 · h-index 9

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • Inflammasome and immune disorders 2
    • Pancreatic function and diabetes 2

Chai-Ching Lin

14 papers receiving 385 citations

Peers

Chai-Ching Lin
Comparison fields: 5 of 79
  • Microbiology 76
  • Geriatrics and Gerontology 28
  • Nephrology 34
  • Physiology 17
  • Molecular Biology 242
Replace T. N. Savateeva-Lyubimova with:
T. N. Savateeva-Lyubimova Russia
Ananth Kumar Kammala United States
Ellen Quarles United States
Nicholas D. LeBlond Canada
Octavio Silva-García Mexico
Raghu Patil Junjappa South Korea
Lijun Dong China
Fengyuan Chen China
Di Xue China
Chai-Ching Lin relative to T. N. Savateeva-Lyubimova Russia T. N. Savateeva-Lyubimova's profile →
Citations per field
00.5×10×
T. N. Savateeva-Lyubimova · 1×
Citations per year

Countries citing papers authored by Chai-Ching Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chai-Ching Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014177
2 201062
3 201232
4 201930
5 201417
6 202017
7 200611
8 201211
9 201610
10 20168
11 20217
12 20155
13 20182
14 20071

About Chai-Ching Lin

Chai-Ching Lin is a scholar working on Molecular Biology, Surgery, Neurology, Molecular Medicine and Neurology, having authored 14 papers that have together received 390 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Curcumin's Biomedical Applications (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Inflammasome and immune disorders (2 papers), Neurosurgical Procedures and Complications (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Microbiology (76 citations), Geriatrics and Gerontology (28 citations), Nephrology (34 citations), Physiology (17 citations) and Molecular Biology (242 citations). Chai-Ching Lin has collaborated with scholars based in Taiwan, France and United States. Frequent co-authors include Muh-Shi Lin, Wei‐Jung Chen, Kuo‐Feng Hua, Chen‐Lung Ho, Ming‐Cheng Chen, Yi-Chich Chiu, Shuk‐Man Ka, Yaping Chang, Huan-Wen Chiu and Louis Kuoping Chao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Peptides, Frontiers in Aging Neuroscience, Natural Product Communications and Journal of Cellular Physiology.

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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