Hsiu-Ting Lin

509 citations
16 papers · 369 · h-index 10

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • SARS-CoV-2 detection and testing 1
    • Glioma Diagnosis and Treatment 1

Hsiu-Ting Lin

16 papers receiving 358 citations

Peers

Hsiu-Ting Lin
Comparison fields: 5 of 43
  • Infectious Diseases 256
  • Genetics 15
  • Structural Biology 3
  • Molecular Biology 54
  • Oncology 16
Replace Yana V. Serdyuk with:
Yana V. Serdyuk Russia
Anjali Patel United States
Yinjuan Ding China
Dante Dennis Acenas II United States
Guangshun Zhang China
Sarah J. Rockwood United States
Wenjing Chen China
Cristina Doncel Spain
Michael Wilkinson United States
Laura K. Couzens United States
Hsiu-Ting Lin relative to Yana V. Serdyuk Russia Yana V. Serdyuk's profile →
Citations per field
00.5×1.7×
Yana V. Serdyuk · 1×
Citations per year

Countries citing papers authored by Hsiu-Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hsiu-Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2021119
2 202256
3 201131
4 202225
5 202223
6 202120
7 202120
8 202118
9 202112
10 201610
11 202210
12 20237
13 20236
14 20245
15 20255
16 20092

About Hsiu-Ting Lin

Hsiu-Ting Lin is a scholar working on Infectious Diseases, Genetics, Hardware and Architecture, Oncology and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 369 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), SARS-CoV-2 detection and testing (1 paper), VLSI and Analog Circuit Testing (1 paper), Bone Tissue Engineering Materials (1 paper), vaccines and immunoinformatics approaches (1 paper), Glioma Diagnosis and Treatment (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Infectious Diseases (256 citations), Genetics (15 citations), Structural Biology (3 citations), Molecular Biology (54 citations) and Oncology (16 citations). Hsiu-Ting Lin has collaborated with scholars based in Taiwan and Portugal. Frequent co-authors include Wu Han-Chung, Chen Wy, Kang-Hao Liang, Shang‐Te Danny Hsu, Tzu‐Jing Yang, Yuan‐Chih Chang, Meng‐Ru Ho, Monika Kumari, Shih-Han Ko and Dan‐Jae Lin. Their work appears in journals such as Journal of Biomedical Science, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Heliyon, Nature Structural & Molecular Biology and PLoS Pathogens.

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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