Ying–Chao Lin

1.4k citations
27 papers · 1.1k indexed · h-index 12
  • Genetics top 2%
    • Inflammatory Bowel Disease 9
    • Genetic Associations and Epidemiology 4
    • Genetic Mapping and Diversity in Plants and Animals 3
  • Immunology top 10%
    • Immunodeficiency and Autoimmune Disorders 5
    • IL-33, ST2, and ILC Pathways 2
  • Epidemiology top 10%
  • Microbiology top 10%
    • Bacterial Infections and Vaccines 3
    • Eosinophilic Esophagitis 3
    • Infectious Diseases and Tuberculosis 3

Ying–Chao Lin

27 papers receiving 1.0k citations

Peers

Ying–Chao Lin
Comparison fields: 5 of 79
  • Genetics 712
  • Immunology 325
  • Gastroenterology 74
  • Epidemiology 409
  • Microbiology 56
Replace Françoise Merlin with:
Françoise Merlin France
Julia Diegelmann Germany
Hege S. Carlsen Norway
Maria Lampinen Sweden
Jeffrey D. McCurdy Canada
Peter Salomon United States
Camilla Salvestrini United Kingdom
O Grip Sweden
Ho‐Su Lee South Korea
Aydan İkincioğulları Türkiye
Ying–Chao Lin relative to Françoise Merlin France Françoise Merlin's profile →
Citations per field
00.5×3.1×
Françoise Merlin · 1×
Citations per year

Countries citing papers authored by Ying–Chao Lin

Since Specialization
Citations

This map shows the geographic impact of Ying–Chao 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–Chao 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–Chao Lin more than expected).

Fields of papers citing papers by Ying–Chao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20201
3 201739
4 201574
5 20127
6 200923
7 20049
8 200387
9 20036
10 200333
11 20031
12 20034
13 20024
14 2002348
15 200225
16 2002333
17 200114
18 20001
19 200015
20 20001

About Ying–Chao Lin

Ying–Chao Lin is a scholar working on Genetics, Microbiology and Immunology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (9 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Genetic Associations and Epidemiology (4 papers), Eosinophilic Esophagitis (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Infectious Diseases and Tuberculosis (3 papers), Bacterial Infections and Vaccines (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Genetics (712 citations), Immunology (325 citations) and Gastroenterology (74 citations). Ying–Chao Lin has collaborated with scholars based in Taiwan, United States and Denmark. Frequent co-authors include Stephan R. Targan, Huiying Yang, Carol J. Landers, Offer Cohavy, Rajeev Misra, Jonathan Braun, Jerome I. Rotter, Kent D. Taylor, Eric A. Vasiliauskas and Lori Y. Kam. Their work appears in journals such as Nature Communications, Gastroenterology and PLoS ONE.

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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