WU Wei-kang

1.1k citations
37 papers · 860 indexed · h-index 12

Impact in

Papers in

WU Wei-kang

37 papers receiving 844 citations

Peers

WU Wei-kang
Comparison fields: 5 of 84
  • Ophthalmology 130
  • Geriatrics and Gerontology 49
  • Neurology 93
  • Physiology 46
  • Pharmacology 60
Replace Chengwei Chen with:
Chengwei Chen China
Mohammad Mairaj Siddiquei Saudi Arabia
Bingqing Zheng China
Ziyu Meng China
Jun Hao China
Hana Farhangkhoee Canada
Akira Mima Japan
Monica Raicu Czechia
Prince Jeyabal United States
WU Wei-kang relative to Chengwei Chen China Chengwei Chen's profile →
Citations per field
00.5×4.2×
Chengwei Chen · 1×
Citations per year

Countries citing papers authored by WU Wei-kang

Since Specialization
Citations

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

Fields of papers citing papers by WU Wei-kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by WU Wei-kang. 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 WU Wei-kang. The network helps show where WU Wei-kang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20201
2 20186
3 201710
4 201611
5 201532
6
CD200 Receptor signaling subverts pro-angiogenic macrophage phenotype generation and experimental chorioretinal neovascularisation
20131
7 201330
8 201376
9 201398
10 201360
11
Resveratrol reverses D-galactose-induced senescence in cardiomyocytes
20121
12 201211
13
Research into hypocholesterolemic effects and the mechanisms of FPS in dietary hypercholestrolemic rats
20112
14
Effects of Aconiti tuber polysaccharides on hypercholesterolemia and hepatic cholesterol 7α-hydroxylase expression in rats
20111
15 201113
16 201041
17 2010142
18 2008148
19 20066
20 20002

About WU Wei-kang

WU Wei-kang is a scholar working on Complementary and alternative medicine, Neurology, Geriatrics and Gerontology, Developmental Neuroscience and Complementary and Manual Therapy, having authored 37 papers that have together received 860 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Traditional Chinese Medicine Studies (5 papers), Nitric Oxide and Endothelin Effects (3 papers), Hepatitis B Virus Studies (3 papers), Autophagy in Disease and Therapy (3 papers), Immune cells in cancer (3 papers), Hepatitis C virus research (3 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Ophthalmology (130 citations), Geriatrics and Gerontology (49 citations), Neurology (93 citations), Physiology (46 citations) and Pharmacology (60 citations). WU Wei-kang has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Andrew D. Dick, Lindsay B. Nicholson, Lihe Lu, David O. Bates, Huimin Yu, Yanling Chen, Xiaohong Li, Jianyun Yan, Xi‐Yong Yu and Qin Zhou. Their work appears in journals such as Chinese Journal of Integrative Medicine, PLoS ONE, Scientific Reports, International Journal of Cardiology and Lipids in Health and Disease.

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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