S.-Y. Lin

1.3k citations
5 papers · 783 · 1 hit paper · h-index 5

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Genomics and Diagnostics

Papers in

S.-Y. Lin

5 papers receiving 780 citations

S.-Y. Lin's Hit Papers

High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types 2021 · 705 citations
7050+1+3Years since publication200400600

Peers

S.-Y. Lin
Comparison fields: 5 of 59
  • Oncology 413
  • Cancer Research 157
  • Immunology 171
  • Pulmonary and Respiratory Medicine 195
  • Genetics 44
Replace Fernando C. Santini with:
Fernando C. Santini United States
Nicholas K. Akers United States
Delphine Topart France
Keita Kudo Japan
Emanuela Dell’Aquila Italy
Dedong Cao China
Xiao Shi China
Francesca Franzi Italy
Ji Hyun Lee South Korea
S.-Y. Lin relative to Fernando C. Santini United States Fernando C. Santini's profile →
Citations per field
00.5×
Fernando C. Santini · 1×
Citations per year

Countries citing papers authored by S.-Y. Lin

Since Specialization
Citations

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

Fields of papers citing papers by S.-Y. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types
Hit paper breakdown →
2021705
2 200132
3 200418
4 200015
5
Prospective evaluation of seropositive occult hepatitis B viral infection in lymphoma patients receiving chemotherapy.
201113

About S.-Y. Lin

S.-Y. Lin is a scholar working on Surgery, Molecular Biology, Genetics, Oncology and Epidemiology, having authored 5 papers that have together received 783 indexed citations. Recurring topics across this work include Vitamin C and Antioxidants Research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Hepatitis B Virus Studies (1 paper), Arsenic contamination and mitigation (1 paper), Hepatitis C virus research (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Oncology (413 citations), Cancer Research (157 citations), Immunology (171 citations), Pulmonary and Respiratory Medicine (195 citations) and Genetics (44 citations). S.-Y. Lin has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include Maarten Slagter, SL Moulder, Marleen Kok, Daniel J. McGrail, JK Litton, Renata Ferrarotto, Bora Lim, Mustafa Khasraw, Naoto T. Ueno and Leonie Voorwerk. Their work appears in journals such as Hematological Oncology, Toxicology Letters, Leukemia Research, Annals of Oncology and PubMed.

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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