Ting-Hsuan Sun

2.2k citations
12 papers · 63 indexed · h-index 4
Topics
ECG Monitoring and Analysis (2 papers)Genetic Associations and Epidemiology (2 papers)Bioinformatics and Genomic Networks (2 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Ting-Hsuan Sun

12 papers receiving 62 citations

Peers

Ting-Hsuan Sun
Comparison fields: 5 of 41
  • Molecular Biology 18
  • Cognitive Neuroscience 9
  • Cancer Research 9
  • Computer Vision and Pattern Recognition 7
  • Epidemiology 7
Replace Ken Hui with:
Ken Hui United States
Daniel Fritz United States
Visanee Tantisevi Thailand
Marleen Balvert Netherlands
Akbota Aitkulova Kazakhstan
Jean Tori Pantel Germany
Mengyu Pan United States
Nethrajeith Srinivasalu China
Stefan Hagen Austria
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Ting-Hsuan Sun relative to Ken Hui United States Ken Hui's profile →
Citations per field
00.5×1.5×2.3×
Ken Hui · 1×
Citations per year

Countries citing papers authored by Ting-Hsuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Hsuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting-Hsuan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Hsuan Sun. A scholar is included among the top collaborators of Ting-Hsuan Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting-Hsuan Sun. Ting-Hsuan Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 3
3 14
4 2
5 13
6 2
7 12
8 3
9
Structural insights into EphA4 unconventional activation from prediction of the EphA4 and its complex with ribonuclease 1.
3
10 3
11 2
12 5

About Ting-Hsuan Sun

Ting-Hsuan Sun is a scholar working on Biophysics, Complementary and alternative medicine and Neurology, having authored 12 papers that have together received 63 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (2 papers), Genetic Associations and Epidemiology (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Health Informatics (1 citation), Health Information Management (3 citations) and Neurology (5 citations). Ting-Hsuan Sun has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kai-Cheng Hsu, Chia‐Chun Wang, Kai‐Cheng Hsu, Chon‐Haw Tsai, Yu‐Wan Yang, Ching‐Chan Lin, Tsong‐Hai Lee, Wen-Jyi Lo, Tzu‐Hung Hsiao and Chien‐Wei Chen. Their work appears in journals such as Nature Communications, Scientific Reports and International Journal of Molecular Sciences.

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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