Chuen‐Neu Wang

20 papers receiving 754 citations

Peers

Chuen‐Neu Wang
Comparison fields: 5 of 77
  • Complementary and alternative medicine 108
  • Biochemistry 43
  • Physiology 161
  • Pharmacology 104
  • Pharmacology 55
Replace Dian-Dong Li with:
Dian-Dong Li China
Matsumi Yamazaki Japan
Wenpeng Dong China
Yusaku Miyamae Japan
Ling‐Sun Jen United Kingdom
Srinivas Gopala India
Philip Y. Lam Hong Kong
Haibo Zhu China
Jianhui Liu China
Hwan Soo Yoo South Korea
Chuen‐Neu Wang relative to Dian-Dong Li China Dian-Dong Li's profile →
Citations per field
00.5×1.5×1.9×
Dian-Dong Li · 1×
Citations per year

Countries citing papers authored by Chuen‐Neu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chuen‐Neu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuen‐Neu Wang. 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 Chuen‐Neu Wang. The network helps show where Chuen‐Neu Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2001166
2 2005113
3 1998100
4 199563
5 199655
6 199553
7 200541
8 200332
9 199926
10 200424
11 198921
12 199318
13 199915
14 200414
15 200812
16 19949
17 20056
18 20125
19
PATHOGENESIS OF NEURODEGENERATIVE DISEASES AND THE EFFECT OF NATURAL PRODUCTS ON NITRIC OXIDE PRODUCTION IMPLICATING IN THESE DISEASES
20054
20 20031

About Chuen‐Neu Wang

Chuen‐Neu Wang is a scholar working on Molecular Biology, Physiology, Cell Biology, Plant Science and Complementary and alternative medicine, having authored 20 papers that have together received 778 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Lipid Membrane Structure and Behavior (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers), Phytochemistry and Biological Activities (2 papers) and Medicinal Plants and Neuroprotection (2 papers). The work is most often cited by research in Complementary and alternative medicine (108 citations), Biochemistry (43 citations), Physiology (161 citations), Pharmacology (104 citations) and Pharmacology (55 citations). Chuen‐Neu Wang has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include David N. Brindley, Yun‐Lian Lin, Young‐Ji Shiao, Chieh‐Fu Chen, Chih‐Wen Chi, Ming‐Shi Shiao, Tom C. Hobman, Yeh‐Jeng Huang, Chia-Hung Wu and Yi-Tsau Huang. Their work appears in journals such as British Journal of Pharmacology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Biological Chemistry, Molecular Pharmacology and Planta Medica.

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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