S.-Y. Lin

1.3k citations
5 papers · 746 indexed · 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 743 citations

Hit Papers

High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types 2021 · 672 citations
6722021202620222024200400600

Peers

S.-Y. Lin
Comparison fields: 5 of 61
  • Oncology 506
  • Cancer Research 218
  • Immunology 203
  • Pulmonary and Respiratory Medicine 279
  • Genetics 49
Replace Nicholas K. Akers with:
Nicholas K. Akers United States
T Yoshikubo Japan
Idoroenyi Amanam United States
Jeltje F. de Vries Netherlands
Rémi Veillon France
Shuji Arita Japan
B. Rovati Italy
Marco Angelo Burgio Italy
Hong Xie United States
S.-Y. Lin relative to Nicholas K. Akers United States Nicholas K. Akers's profile →
Citations per field
00.5×3.5×
Nicholas K. Akers · 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 →
2021672
2 200129
3 200418
4 200014
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 Hepatology, Environmental Chemistry, Genetics, Oncology and Cancer Research, having authored 5 papers that have together received 746 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), Lung Cancer Treatments and Mutations (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Viral-associated cancers and disorders (1 paper), Arsenic contamination and mitigation (1 paper), Hepatitis B Virus Studies (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Oncology (506 citations), Cancer Research (218 citations), Immunology (203 citations), Pulmonary and Respiratory Medicine (279 citations) and Genetics (49 citations). S.-Y. Lin has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Marleen Kok, Eric Jonasch, Daniel J. McGrail, JT Chang, Renata Ferrarotto, Maarten Slagter, JK Litton, Bora Lim, Mustafa Khasraw and Naoto T. Ueno. Their work appears in journals such as Toxicology Letters, Hematological Oncology, Annals of Oncology, Leukemia Research 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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