Su‐Jane Wang

4.2k citations
168 papers · 3.5k · 1 hit paper · h-index 32

Impact in

Papers in

Su‐Jane Wang

164 papers receiving 3.5k citations

Su‐Jane Wang's Hit Papers

Machine Learning Enabled Reusable Adhesion, Entangled Network-Based Hydrogel for Long-Term, High-Fidelity EEG Recording and Attention Assessment 2025 · 27 citations
270Years since publication510152025

Peers

Su‐Jane Wang
Comparison fields: 5 of 121
  • Cellular and Molecular Neuroscience 1.5k
  • Biological Psychiatry 170
  • Behavioral Neuroscience 164
  • Neurology 347
  • Complementary and alternative medicine 329
Replace Carlos Fernando Mello with:
Carlos Fernando Mello Brazil
Alireza Komaki‬ Iran
Mario Baraldi Italy
Grażyna Biała Poland
Kwang Ho Ko South Korea
Takeshi Tadano Japan
Kenichi Mishima Japan
Carlos Beas‐Zárate Mexico
Livio Luongo Italy
‬Siamak Shahidi Iran
Su‐Jane Wang relative to Carlos Fernando Mello Brazil Carlos Fernando Mello's profile →
Citations per field
00.5×2.9×
Carlos Fernando Mello · 1×
Citations per year

Countries citing papers authored by Su‐Jane Wang

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Jane Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998104
2 199693
3 202289
4 200176
5 200367
6 199967
7 201163
8 201662
9 199658
10 200357
11 200057
12 200953
13 201353
14 200649
15 201449
16 201545
17 200844
18 200543
19 201143
20 199943

About Su‐Jane Wang

Su‐Jane Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Complementary and alternative medicine and Physiology, having authored 168 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (123 papers), Ion channel regulation and function (38 papers), Neuroinflammation and Neurodegeneration Mechanisms (30 papers), Medicinal Plants and Neuroprotection (14 papers), Alzheimer's disease research and treatments (12 papers), Memory and Neural Mechanisms (11 papers), Receptor Mechanisms and Signaling (10 papers) and Lipid Membrane Structure and Behavior (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Biological Psychiatry (170 citations), Behavioral Neuroscience (164 citations), Neurology (347 citations) and Complementary and alternative medicine (329 citations). Su‐Jane Wang has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Cheng-Wei Lü, Tzu‐Yu Lin, Po‐Wu Gean, Shu-Kuei Huang, Chia‐Chuan Wang, Kuan‐Ming Chiu, Talvinder S. Sihra, Ming-Yi Lee, Tsung‐Tsair Yang and Po‐Wu Gean. Their work appears in journals such as European Journal of Pharmacology, International Journal of Molecular Sciences, Neuroreport, Molecules and Food & Function.

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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