Wan‐Pin Chang

1.1k citations
17 papers · 961 indexed · h-index 13

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Cholinesterase and Neurodegenerative Diseases

Papers in

Wan‐Pin Chang

17 papers receiving 937 citations

Peers

Wan‐Pin Chang
Comparison fields: 5 of 95
  • Physiology 499
  • Pharmacology 289
  • Computational Theory and Mathematics 247
  • Cell Biology 174
  • Molecular Biology 397
Replace Victor Ozols with:
Victor Ozols United States
Céline Morissette Canada
Jae Yoon Leem South Korea
Diana Dominguez Switzerland
Monika Duthie Canada
Maria Koutroumanis Canada
Laura Ingano United States
Sharad Mistry United Kingdom
Chica Mori United States
Mikio Aoki Japan
Wan‐Pin Chang relative to Victor Ozols United States Victor Ozols's profile →
Citations per field
00.5×1.7×
Victor Ozols · 1×
Citations per year

Countries citing papers authored by Wan‐Pin Chang

Since Specialization
Citations

This map shows the geographic impact of Wan‐Pin 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‐Pin 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‐Pin Chang more than expected).

Fields of papers citing papers by Wan‐Pin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201775
2 201092
3 200774
4 200734
5 200773
6 2004198
7 200420
8 200474
9 200421
10 20046
11 200312
12 200298
13 199836
14 199786
15 199443
16 19939
17 198810

About Wan‐Pin Chang

Wan‐Pin Chang is a scholar working on Physiology, Immunology and Allergy, Cell Biology, Biochemistry and Molecular Biology, having authored 17 papers that have together received 961 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Machine Learning in Bioinformatics (4 papers), Cellular transport and secretion (3 papers), Selenium in Biological Systems (2 papers), Biochemical and Structural Characterization (2 papers), Cell Adhesion Molecules Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Physiology (499 citations), Pharmacology (289 citations), Computational Theory and Mathematics (247 citations), Cell Biology (174 citations) and Molecular Biology (397 citations). Wan‐Pin Chang has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Jordan Tang, Xiangyuan He, Gerald Koelsch, Feng Li, Arun K. Ghosh, Charles V. Clevenger, Deborah Downs, Xiangping Huang, Vajira Weerasena and Robert T. Turner. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Molecular and Cellular Biology, FEBS Letters and Bioorganic & Medicinal Chemistry Letters.

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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