Hsiang‐Yu Chang

23 total papers · 1.1k total citations
16 papers, 942 citations indexed

About

Hsiang‐Yu Chang is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Hsiang‐Yu Chang has authored 16 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Neurology and 2 papers in Genetics. Recurrent topics in Hsiang‐Yu Chang's work include Amyotrophic Lateral Sclerosis Research (5 papers), Prion Diseases and Protein Misfolding (3 papers) and RNA Research and Splicing (3 papers). Hsiang‐Yu Chang is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Prion Diseases and Protein Misfolding (3 papers) and RNA Research and Splicing (3 papers). Hsiang‐Yu Chang collaborates with scholars based in Taiwan, United States and United Kingdom. Hsiang‐Yu Chang's co-authors include I‐Fan Wang, C.‐K. James Shen, Gunn‐Guang Liou, Chih‐Ching Huang, Sue Lin‐Chao, Huan‐Tsung Chang, Wei‐Yu Chen, Yi‐Cheng Huang, Yujia Li and Jenn‐Kan Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hsiang‐Yu Chang

14 papers receiving 935 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hsiang‐Yu Chang 541 324 186 130 96 16 942
Giulia Guidotti 793 1.5× 83 0.3× 41 0.2× 25 0.2× 150 1.6× 9 1.1k
Liyu Chen 386 0.7× 55 0.2× 63 0.3× 75 0.6× 233 2.4× 24 932
Diego Chiappe 486 0.9× 252 0.8× 37 0.2× 41 0.3× 83 0.9× 21 1.0k
Greet De Baets 770 1.4× 178 0.5× 113 0.6× 95 0.7× 45 0.5× 18 1.0k
Dina Aggad 258 0.5× 176 0.5× 91 0.5× 243 1.9× 83 0.9× 24 1.0k
Diwei Ho 650 1.2× 53 0.2× 31 0.2× 102 0.8× 247 2.6× 30 1.2k
Anni Zhao 539 1.0× 77 0.2× 21 0.1× 88 0.7× 258 2.7× 8 871
Saïda Abounit 613 1.1× 289 0.9× 35 0.2× 21 0.2× 31 0.3× 8 1.1k
Madhavi Latha Somaraju Chalasani 330 0.6× 81 0.3× 16 0.1× 97 0.7× 48 0.5× 25 843
Colin M. Fadzen 558 1.0× 30 0.1× 42 0.2× 65 0.5× 98 1.0× 16 928

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-authorship network of co-authors of Hsiang‐Yu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiang‐Yu Chang. A scholar is included among the top collaborators of Hsiang‐Yu Chang 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 Hsiang‐Yu Chang. Hsiang‐Yu Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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