Wai San Cheang

3.9k citations
84 papers · 3.0k indexed · 1 hit paper · h-index 32
Topics
Phytochemicals and Antioxidant Activities (13 papers)Natural Antidiabetic Agents Studies (13 papers)Adipose Tissue and Metabolism (13 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONECirculation Research
Partner nations
MacaoChinaHong Kong

In The Last Decade

Wai San Cheang

79 papers receiving 3.0k citations

Hit Papers

Neuroprotective Effects of Quercetin in Alzheimer’s Disease20192026202120232019100200300

Peers

Wai San Cheang
Comparison fields: 5 of 130
  • Molecular Biology 1.2k
  • Physiology 645
  • Endocrinology, Diabetes and Metabolism 412
  • Biochemistry 387
  • Pharmacology 329
Replace Phiwayinkosi V. Dludla with:
Phiwayinkosi V. Dludla South Africa
Sung‐Joon Lee South Korea
Micaela Gliozzi Italy
Takatoshi Murase Japan
Chang Hwa Jung South Korea
Catalina Carrasco‐Pozo Chile
Cristina Angeloni Italy
Jin‐Taek Hwang South Korea
Myung‐Sunny Kim South Korea
Qun Shan China
Wai San Cheang relative to Phiwayinkosi V. Dludla South Africa Phiwayinkosi V. Dludla's profile →
Citations per field
00.5×11.9×
Phiwayinkosi V. Dludla · 1×
Citations per year

Countries citing papers authored by Wai San Cheang

Since Specialization
Citations

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

Fields of papers citing papers by Wai San Cheang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai San Cheang. 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 Wai San Cheang. The network helps show where Wai San Cheang may publish in the future.

Co-authorship network of co-authors of Wai San Cheang

This figure shows the co-authorship network connecting the top 25 collaborators of Wai San Cheang. A scholar is included among the top collaborators of Wai San Cheang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wai San Cheang. Wai San Cheang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 2
5 1
6 2
7 8
8 2
9 15
10 6
11 0
12 41
13 3
14 16
15 27
16 9
17 16
18 35
19 99
20 13

About Wai San Cheang

Wai San Cheang is a scholar working on Biochemistry, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 84 papers that have together received 3.0k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (13 papers), Natural Antidiabetic Agents Studies (13 papers) and Adipose Tissue and Metabolism (13 papers). The work is most often cited by research in Biochemistry (387 citations), Biochemistry (264 citations) and Geriatrics and Gerontology (132 citations). Wai San Cheang has collaborated with scholars based in Macao, China and Hong Kong. Frequent co-authors include Haroon Khan, Yü Huang, Xiao Yu Tian, Jianbo Xiao, Wing Tak Wong, Michael Aschner, Esra Küpeli Akkol, Xiaoqiang Yao, Chi Wai Lau and Hui Cao. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

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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