Hsiang‐Yu Chang

1.1k citations
17 papers · 950 · h-index 11

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • RNA Research and Splicing 3
    • Prion Diseases and Protein Misfolding 3
    • Amyotrophic Lateral Sclerosis Research 5

Hsiang‐Yu Chang

15 papers receiving 942 citations

Peers

Hsiang‐Yu Chang
Comparison fields: 5 of 93
  • Neurology 324
  • Genetics 185
  • Microbiology 81
  • Neurology 86
  • Rehabilitation 59
Replace Liyu Chen with:
Liyu Chen Australia
Miguel Lino Portugal
Giulia Guidotti Italy
Cheol Hee Choi South Korea
Julian Ratcliffe Australia
Rakesh Kumar Mishra India
Marcelo A. Barria United Kingdom
Ruichen Zhao China
Hsiang‐Yu Chang relative to Liyu Chen Australia Liyu Chen's profile →
Citations per field
00.5×10×14.8×
Liyu Chen · 1×
Citations per year

Countries citing papers authored by Hsiang‐Yu Chang

Since Specialization
Citations

This map shows the geographic impact of Hsiang‐Yu Chang'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 Hsiang‐Yu Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang‐Yu Chang more than expected).

Fields of papers citing papers by Hsiang‐Yu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiang‐Yu Chang. 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 Hsiang‐Yu Chang. The network helps show where Hsiang‐Yu Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Hsiang‐Yu Chang, 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 Hsiang‐Yu Chang Line = papers co-authored together Hsiang‐Yu Chang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2007286
2 2015258
3 200298
4 201266
5 200855
6 201345
7 201343
8 201140
9 200615
10 200614
11 201410
12
A STRATEGIC STUDY OF BICYCLE TOURISM IN TAIWAN
20157
13 20215
14 20244
15 20243
16 19901
17 20180

About Hsiang‐Yu Chang

Hsiang‐Yu Chang is a scholar working on Molecular Biology, Neurology, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 17 papers that have together received 950 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (5 papers), RNA Research and Splicing (3 papers), Prion Diseases and Protein Misfolding (3 papers), Nanocluster Synthesis and Applications (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Genetic Neurodegenerative Diseases (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Neurology (324 citations), Genetics (185 citations), Microbiology (81 citations), Neurology (86 citations) and Rehabilitation (59 citations). Hsiang‐Yu Chang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include I‐Fan Wang, C.‐K. James Shen, Gunn‐Guang Liou, Chih‐Ching Huang, Sue Lin‐Chao, Wei‐Yu Chen, Yujia Li, Yu‐Ting Tseng, Yi‐Cheng Huang and Scott G. Harroun. Their work appears in journals such as Nature Communications, Journal of Neurochemistry, Scientific Reports, RSC Advances and Brain.

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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