Wei‐Hui Wu

929 citations
19 papers · 807 · h-index 14

Impact in

Papers in

    • Alzheimer's disease research and treatments 16
    • Protein Structure and Dynamics 3
    • Chemical Synthesis and Analysis 2

Wei‐Hui Wu

19 papers receiving 800 citations

Peers

Wei‐Hui Wu
Comparison fields: 5 of 70
  • Physiology 556
  • Nutrition and Dietetics 182
  • Biomaterials 112
  • Pharmacology 125
  • Computational Theory and Mathematics 123
Replace Cecilia Wallin with:
Cecilia Wallin Sweden
Chanki Ha United States
Claire J. Sarell United Kingdom
Timothy Johanssen Australia
Kiyoko Suzuki Japan
Olivia Berthoumieu United Kingdom
Jeppe T. Pedersen Denmark
Jiyeon Han South Korea
Samer Salamekh United States
Małgorzata Rózga Poland
Wei‐Hui Wu relative to Cecilia Wallin Sweden Cecilia Wallin's profile →
Citations per field
00.5×8.1×
Cecilia Wallin · 1×
Citations per year

Countries citing papers authored by Wei‐Hui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Hui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Hui Wu. 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 Wei‐Hui Wu. The network helps show where Wei‐Hui Wu may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2008178
2 2008111
3 200678
4 200769
5 201062
6 200762
7 200953
8 200840
9 201130
10 201125
11 201019
12 200718
13 201015
14 201313
15 200813
16 200910
17 20129
18 20171
19 20131

About Wei‐Hui Wu

Wei‐Hui Wu is a scholar working on Physiology, Molecular Biology, Computational Theory and Mathematics, Organic Chemistry and Pharmacology, having authored 19 papers that have together received 807 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Computational Drug Discovery Methods (5 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Protein Structure and Dynamics (3 papers), Trace Elements in Health (3 papers), Chemical Synthesis and Analysis (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Physiology (556 citations), Nutrition and Dietetics (182 citations), Biomaterials (112 citations), Pharmacology (125 citations) and Computational Theory and Mathematics (123 citations). Wei‐Hui Wu has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Yanmei Li, Yufen Zhao, Peng Lei, Qian Liu, Yeping Yu, Jia Hu, Jia Hu, Xun Sun, Lei Zhao and Jintang Du. Their work appears in journals such as Biochemical and Biophysical Research Communications, Chemical Communications, Peptides, FEBS Journal and Journal of Biological Chemistry.

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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