Ying‐Cing Lin

1.3k citations
15 papers · 1k · h-index 15

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses

Papers in

    • HIV Research and Treatment 5
    • Immune Response and Inflammation 2
    • T-cell and B-cell Immunology 2

Ying‐Cing Lin

15 papers receiving 993 citations

Peers

Ying‐Cing Lin
Comparison fields: 5 of 67
  • Virology 298
  • Immunology 242
  • Infectious Diseases 85
  • Structural Biology 10
  • Molecular Biology 251
Replace Juan Sabatté with:
Juan Sabatté Argentina
Zhicheng Zhou France
Anjie Zhen United States
Greg J. LaRosa United States
Pedro A. Lamothe United States
Steven E. Kauder United States
Barbara S. Ink United States
Christian Krapp Denmark
Anindya Dasgupta United States
Brianne R. Barker United States
Ying‐Cing Lin relative to Juan Sabatté Argentina Juan Sabatté's profile →
Citations per field
00.5×2×4×6×8.5×
Juan Sabatté · 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

15 of 15 papers shown
#Work
1 2019203
2 2015124
3 2022112
4 201382
5 201064
6 201460
7 202250
8 201249
9 202449
10 201841
11 202041
12 201840
13 202439
14 202134
15 202419

About Ying‐Cing Lin

Ying‐Cing Lin is a scholar working on Virology, Immunology, Cancer Research, Biochemistry and Molecular Biology, having authored 15 papers that have together received 1k indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Inflammasome and immune disorders (2 papers), Immune Response and Inflammation (2 papers), CRISPR and Genetic Engineering (2 papers), T-cell and B-cell Immunology (2 papers), NF-κB Signaling Pathways (1 paper), Malaria Research and Control (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Virology (298 citations), Immunology (242 citations), Infectious Diseases (85 citations), Structural Biology (10 citations) and Molecular Biology (251 citations). Ying‐Cing Lin has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Wan‐Wan Lin, Duen-Yi Huang, Yi‐Ling Lin, Ching‐Liang Chu, Kuo‐Chin Huang, Shie-Liang Edmond Hsieh, Nan‐Lin Wu, Chen-Tsung Huang, Colin Farquharson and Usha Nair. Their work appears in journals such as Immunity, Nature Immunology, Journal of Leukocyte Biology, Science and The EMBO Journal.

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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