Ying‐Cing Lin

1.3k citations
9 papers · 450 · h-index 8

Impact in

    • Immune Response and Inflammation
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Psoriasis: Treatment and Pathogenesis
    • T-cell and B-cell Immunology
    • Gout, Hyperuricemia, Uric Acid

Papers in

    • Immune Response and Inflammation 3
    • T-cell and B-cell Immunology 1
    • Mast cells and histamine 1
    • Inflammasome and immune disorders 2
    • CRISPR and Genetic Engineering 2

Ying‐Cing Lin

8 papers receiving 448 citations

Peers

Ying‐Cing Lin
Comparison fields: 5 of 69
  • Immunology 195
  • Nephrology 26
  • Dermatology 29
  • Molecular Biology 219
  • Biological Psychiatry 7
Replace Paramananda Saikia with:
Paramananda Saikia United States
Graham A. Tynan Ireland
Areum Kwak South Korea
Vernon Seow Australia
Tünde Fekete Hungary
Mieke De Buck Belgium
Pengtao Wang China
L Shou United States
V. Ramassar Canada
Melinda Y. Hardy Australia
Ying‐Cing Lin relative to Paramananda Saikia United States Paramananda Saikia's profile →
Citations per field
00.5×3.6×
Paramananda Saikia · 1×
Citations per year

Countries citing papers authored by Ying‐Cing Lin

Since Specialization
Citations

This map shows the geographic impact of Ying‐Cing 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 Ying‐Cing Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Cing Lin more than expected).

Fields of papers citing papers by Ying‐Cing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Cing 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 Ying‐Cing Lin. The network helps show where Ying‐Cing Lin may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2015119
2 201381
3 201063
4 201456
5 201249
6 201836
7 201825
8 202021
9 20250

About Ying‐Cing Lin

Ying‐Cing Lin is a scholar working on Immunology, Molecular Biology, Cancer Research, Oncology and Surgery, having authored 9 papers that have together received 450 indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (2 papers), Inflammasome and immune disorders (2 papers), CRISPR and Genetic Engineering (2 papers), CAR-T cell therapy research (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), T-cell and B-cell Immunology (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Immunology (195 citations), Nephrology (26 citations), Dermatology (29 citations), Molecular Biology (219 citations) and Biological Psychiatry (7 citations). Ying‐Cing Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Wan‐Wan Lin, Duen-Yi Huang, Yi‐Ling Lin, Ching‐Liang Chu, Kuo‐Chin Huang, Shie‐Liang Hsieh, Chen-Tsung Huang, Nai-Jia Huang, Novalia Pishesha and Elizaveta Freinkman. Their work appears in journals such as The EMBO Journal, Journal of Leukocyte Biology, Blood, Molecular Immunology and Science Signaling.

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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