Wai San Cheang

3.9k total citations · 1 hit paper
84 papers, 3.0k citations indexed

About

Wai San Cheang is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Wai San Cheang has authored 84 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 20 papers in Physiology and 17 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Wai San Cheang's work include Phytochemicals and Antioxidant Activities (13 papers), Natural Antidiabetic Agents Studies (13 papers) and Adipose Tissue and Metabolism (13 papers). Wai San Cheang is often cited by papers focused on Phytochemicals and Antioxidant Activities (13 papers), Natural Antidiabetic Agents Studies (13 papers) and Adipose Tissue and Metabolism (13 papers). Wai San Cheang collaborates with scholars based in Macao, China and Hong Kong. Wai San Cheang's 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 Zhen‐Yu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

In The Last Decade

Wai San Cheang

79 papers receiving 3.0k citations

Hit Papers

Neuroprotective Effects of Quercetin in Alzheimer’s Disease 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wai San Cheang Macao 32 1.2k 645 412 387 329 84 3.0k
Phiwayinkosi V. Dludla South Africa 33 1.1k 1.0× 709 1.1× 576 1.4× 407 1.1× 182 0.6× 143 3.4k
Upa Kukongviriyapan Thailand 36 991 0.8× 438 0.7× 498 1.2× 386 1.0× 273 0.8× 105 3.1k
Micaela Gliozzi Italy 33 1.1k 0.9× 620 1.0× 280 0.7× 271 0.7× 205 0.6× 108 3.1k
Veerapol Kukongviriyapan Thailand 40 1.5k 1.3× 425 0.7× 457 1.1× 401 1.0× 384 1.2× 147 4.0k
Jin‐Taek Hwang South Korea 30 2.0k 1.7× 559 0.9× 466 1.1× 436 1.1× 289 0.9× 111 3.6k
Thierry Chataigneau France 31 1.0k 0.9× 725 1.1× 377 0.9× 807 2.1× 198 0.6× 40 3.2k
Myung‐Sunny Kim South Korea 35 1.8k 1.6× 819 1.3× 431 1.0× 320 0.8× 356 1.1× 110 3.8k
Sung‐Joon Lee South Korea 37 1.6k 1.3× 574 0.9× 579 1.4× 495 1.3× 234 0.7× 104 3.9k
Cristina Angeloni Italy 37 1.8k 1.5× 675 1.0× 260 0.6× 666 1.7× 543 1.7× 97 4.3k
Milagros Galisteo Spain 24 613 0.5× 811 1.3× 551 1.3× 621 1.6× 224 0.7× 47 2.8k

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
2.
Miao, Lingchao, Haolin Zhang, Haroon Khan, et al.. (2025). Portulaca oleracea L. (purslane) extract ameliorates intestinal inflammation in diet-induced obese mice by inhibiting the TLR4/NF-κB signaling pathway. Frontiers in Pharmacology. 15. 1474989–1474989. 1 indexed citations
3.
Nie, Xiaolin, Yuxiao Wang, Xin Sun, et al.. (2025). Targeted mitigation strategies for wall deposition in spray-dried jujube extract employing composite SSOS–WPI wall materials. International Journal of Biological Macromolecules. 330(Pt 4). 148284–148284.
4.
Goleij, Pouya, Pantea Majma Sanaye, Waqas Alam, et al.. (2024). Unlocking daidzein's healing power: Present applications and future possibilities in phytomedicine. Phytomedicine. 134. 155949–155949. 5 indexed citations
5.
Vong, Chi Teng, et al.. (2024). Ginsenoside Rk1 Ameliorates ER Stress-Induced Apoptosis through Directly Activating IGF-1R in Mouse Pancreatic β-Cells and Diabetic Pancreas. The American Journal of Chinese Medicine. 52(4). 1195–1211. 6 indexed citations
6.
Iranpanah, Amin, Mohsen Rastegari‐Pouyani, Rosanna Filosa, et al.. (2024). Exploiting new strategies in combating head and neck carcinoma: A comprehensive review on phytochemical approaches passing through PI3K/Akt/mTOR signaling pathway. Phytotherapy Research. 38(7). 3736–3762. 2 indexed citations
7.
Miao, Lingchao, Yan Zhou, Dechao Tan, et al.. (2024). Ginsenoside Rk1 improves endothelial function in diabetes through activating peroxisome proliferator-activated receptors. Food & Function. 15(10). 5485–5495. 15 indexed citations
9.
Fu, Manqin, Yuehan Wang, Xiaoting Zhu, et al.. (2024). Metabolomics reveal changes of flavonoids during processing of “nine-processed” tangerine peel (Jiuzhi Chenpi). LWT. 214. 117132–117132. 2 indexed citations
10.
Dai, Jinming, Mei Bai, Changzhu Li, et al.. (2023). Antibacterial properties of citral against Staphylococcus aureus: From membrane damage to metabolic inhibition. Food Bioscience. 53. 102770–102770. 41 indexed citations
11.
Miao, Lingchao, Haolin Zhang, Xiaojia Chen, et al.. (2023). Baicalin ameliorates insulin resistance and regulates hepatic glucose metabolism via activating insulin signaling pathway in obese pre-diabetic mice. Phytomedicine. 124. 155296–155296. 27 indexed citations
12.
Ahmed, Salman, Waqas Alam, Michael Aschner, et al.. (2023). Marine Cyanobacterial Peptides in Neuroblastoma: Search for Better Therapeutic Options. Cancers. 15(9). 2515–2515. 12 indexed citations
14.
Chen, Yuting, Yujuan Xu, Jing Wen, et al.. (2023). Analysis of Flavonoid Metabolites in Citrus reticulata ‘Chachi’ at Different Collection Stages Using UPLC-ESI-MS/MS. Foods. 12(21). 3945–3945. 3 indexed citations
15.
Zhuang, Tao, Jinjia Chang, Yanping Zhou, et al.. (2023). A2AR-mediated lymphangiogenesis via VEGFR2 signaling prevents salt-sensitive hypertension. European Heart Journal. 44(29). 2730–2742. 16 indexed citations
16.
Miao, Lingchao, Conghui Liu, Ruting Zhong, et al.. (2022). Exploration of natural flavones’ bioactivity and bioavailability in chronic inflammation induced-type-2 diabetes mellitus. Critical Reviews in Food Science and Nutrition. 63(33). 11640–11667. 19 indexed citations
17.
Tan, Yi, et al.. (2022). Roles of Reactive Oxygen Species in Vascular Complications of Diabetes: Therapeutic Properties of Medicinal Plants and Food. SHILAP Revista de lepidopterología. 2(3). 246–268. 35 indexed citations
19.
Zhao, Chao, Yuanyuan Liu, Shanshan Lai, et al.. (2019). Effects of domestic cooking process on the chemical and biological properties of dietary phytochemicals. Trends in Food Science & Technology. 85. 55–66. 99 indexed citations
20.
Zhang, Yang, Jian Liu, Jiang‐Yun Luo, et al.. (2015). Upregulation of Angiotensin (1-7)-Mediated Signaling Preserves Endothelial Function Through Reducing Oxidative Stress in Diabetes. Antioxidants and Redox Signaling. 23(11). 880–892. 67 indexed citations

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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