Wan‐Hsuan Chang

20 total papers · 571 total citations
16 papers, 460 citations indexed

About

Wan‐Hsuan Chang is a scholar working on Molecular Biology, Materials Chemistry and Neurology. According to data from OpenAlex, Wan‐Hsuan Chang has authored 16 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Neurology. Recurrent topics in Wan‐Hsuan Chang's work include Nanoparticles: synthesis and applications (4 papers), Muscle Physiology and Disorders (4 papers) and Quantum Dots Synthesis And Properties (3 papers). Wan‐Hsuan Chang is often cited by papers focused on Nanoparticles: synthesis and applications (4 papers), Muscle Physiology and Disorders (4 papers) and Quantum Dots Synthesis And Properties (3 papers). Wan‐Hsuan Chang collaborates with scholars based in Taiwan, Czechia and Hungary. Wan‐Hsuan Chang's co-authors include Yi‐Ching Lo, Yu‐Ting Tseng, Pinpin Lin, Louis W. Chang, Ming‐Hsien Tsai, Mo‐Hsiung Yang, Chung‐Shi Yang, Yin‐Chih Fu, Chih‐Lung Lin and Han Chang and has published in prestigious journals such as International Journal of Molecular Sciences, British Journal of Pharmacology and European Journal of Pharmacology.

In The Last Decade

Wan‐Hsuan Chang

15 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Wan‐Hsuan Chang 198 150 77 56 42 16 460
Sung-Hyeuk Park 161 0.8× 89 0.6× 53 0.7× 59 1.1× 27 0.6× 22 533
Kevin S. O’Fallon 85 0.4× 158 1.1× 109 1.4× 62 1.1× 52 1.2× 19 517
Hyung‐Seop Youn 181 0.9× 165 1.1× 21 0.3× 26 0.5× 59 1.4× 19 505
Ratnakar Tiwari 113 0.6× 233 1.6× 24 0.3× 105 1.9× 109 2.6× 22 552
Emanuela Astori 162 0.8× 35 0.2× 44 0.6× 41 0.7× 25 0.6× 13 433
Caixia Lin 164 0.8× 87 0.6× 30 0.4× 25 0.4× 51 1.2× 17 461
Behzat Çimen 102 0.5× 110 0.7× 57 0.7× 17 0.3× 41 1.0× 26 419
Anabela M. Simões 116 0.6× 150 1.0× 45 0.6× 56 1.0× 55 1.3× 11 425
Yee Ting Wong 186 0.9× 49 0.3× 91 1.2× 21 0.4× 59 1.4× 9 528
Jinfeng Wei 112 0.6× 68 0.5× 22 0.3× 98 1.8× 106 2.5× 30 448

Countries citing papers authored by Wan‐Hsuan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wan‐Hsuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wan‐Hsuan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Wan‐Hsuan Chang. A scholar is included among the top collaborators of Wan‐Hsuan 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 Wan‐Hsuan Chang. Wan‐Hsuan 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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