Chen‐Yong Lin

6.2k citations
96 papers · 5.1k indexed · h-index 38

Impact in

Papers in

Chen‐Yong Lin

94 papers receiving 5.0k citations

Peers

Chen‐Yong Lin
Comparison fields: 5 of 118
  • Immunology and Allergy 986
  • Hepatology 912
  • Hematology 967
  • Cancer Research 1.2k
  • Cell Biology 820
Replace Angela Coxon with:
Angela Coxon United States
Marcel Spaargaren Netherlands
Masabumi Shibuya Japan
Martijn F.B.G. Gebbink Netherlands
Karin Vanderkerken Belgium
John D. Hooper Australia
Michael Jeffers United States
Stefan Hemmerich United States
Osvaldo L. Podhajcer Argentina
Hendrik Ungefroren Germany
Chen‐Yong Lin relative to Angela Coxon United States Angela Coxon's profile →
Citations per field
00.5×3.9×
Angela Coxon · 1×
Citations per year

Countries citing papers authored by Chen‐Yong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Yong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20233
4 201818
5 201718
6 201519
7 201424
8 201367
9 201335
10 201089
11 201033
12 2010139
13 201039
14 201059
15 200831
16 200731
17 200633
18 200649
19 200279
20 199446

About Chen‐Yong Lin

Chen‐Yong Lin is a scholar working on Immunology and Allergy, Hematology, Hepatology, Cancer Research and Cell Biology, having authored 96 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (29 papers), Protease and Inhibitor Mechanisms (26 papers), Blood Coagulation and Thrombosis Mechanisms (22 papers), Liver physiology and pathology (17 papers), Fibroblast Growth Factor Research (13 papers), Proteoglycans and glycosaminoglycans research (12 papers), Protein Kinase Regulation and GTPase Signaling (10 papers) and Platelet Disorders and Treatments (8 papers). The work is most often cited by research in Immunology and Allergy (986 citations), Hepatology (912 citations), Hematology (967 citations), Cancer Research (1.2k citations) and Cell Biology (820 citations). Chen‐Yong Lin has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Robert B. Dickson, Michael D. Johnson, Michael D. Oberst, Sheau-Ling Lee, Joanna Anders, Christelle Benaud, Jehng-Kang Wang, Ming‐Shyue Lee, Thomas Bugge and Baljit Singh. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Cell Physiology, PLoS ONE, Human Cell and American Journal Of Pathology.

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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