Chun-Yang Lin

946 citations
16 papers · 155 · h-index 6

Impact in

Papers in

    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 4
    • Plant Gene Expression Analysis 3
    • Plant biochemistry and biosynthesis 2

Chun-Yang Lin

15 papers receiving 150 citations

Peers

Chun-Yang Lin
Comparison fields: 5 of 37
  • Orthopedics and Sports Medicine 27
  • Agronomy and Crop Science 21
  • Epidemiology 63
  • Immunology 34
  • Infectious Diseases 23
Replace Anders Madsen with:
Anders Madsen Norway
Jennifer Risso-Ballester Spain
Hyojin Lee South Korea
Daryl E. Morris United States
Lucia M. Mokres United States
Laurine C. Rijsbergen Netherlands
Yumiko Komatsu Japan
Wenhai Yu China
Wen Shi China
Hannah Stephenson United Kingdom
Chun-Yang Lin relative to Anders Madsen Norway Anders Madsen's profile →
Citations per field
00.5×10×15×
Anders Madsen · 1×
Citations per year

Countries citing papers authored by Chun-Yang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Yang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200748
2 201528
3 201223
4 202120
5 20245
6 20175
7 20224
8 20194
9 20224
10 20204
11 20243
12 20193
13 20242
14 20241
15 20201
16 20250

About Chun-Yang Lin

Chun-Yang Lin is a scholar working on Epidemiology, Molecular Biology, Agronomy and Crop Science, Infectious Diseases and Immunology, having authored 16 papers that have together received 155 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (4 papers), Respiratory viral infections research (4 papers), Plant Gene Expression Analysis (3 papers), interferon and immune responses (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Plant biochemistry and biosynthesis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (27 citations), Agronomy and Crop Science (21 citations), Epidemiology (63 citations), Immunology (34 citations) and Infectious Diseases (23 citations). Chun-Yang Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jia‐Kuo Yu, Jiying Zhang, Xin Fu, Min-Shi Lee, Min‐Yuan Chia, Ih‐Jen Su, Alan Yung-Chih Hu, Ai‐Li Shiau, Pin Ling and Chia‐Tsui Yeh. Their work appears in journals such as Viruses, Food Bioscience, The Journal of Immunology, Human Vaccines & Immunotherapeutics and Journal of Biomedical Science.

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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