Stephen S.M. Chung

3.8k total citations
44 papers, 2.9k citations indexed

About

Stephen S.M. Chung is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Stephen S.M. Chung has authored 44 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cell Biology, 19 papers in Molecular Biology and 15 papers in Physiology. Recurrent topics in Stephen S.M. Chung's work include Aldose Reductase and Taurine (25 papers), Prenatal Substance Exposure Effects (9 papers) and Heme Oxygenase-1 and Carbon Monoxide (8 papers). Stephen S.M. Chung is often cited by papers focused on Aldose Reductase and Taurine (25 papers), Prenatal Substance Exposure Effects (9 papers) and Heme Oxygenase-1 and Carbon Monoxide (8 papers). Stephen S.M. Chung collaborates with scholars based in Hong Kong, China and United States. Stephen S.M. Chung's co-authors include Sookja Kim Chung, Karen S.L. Lam, Muthukumaran Jayachandran, Baojun Xu, Alan Yiu Wah Lee, Jiali Chen, Peter F. Kador, Irina G. Obrosova, Acy Lo and Kwok‐Fai So and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Circulation Research.

In The Last Decade

Stephen S.M. Chung

44 papers receiving 2.8k citations

Peers

Stephen S.M. Chung

PHYSI

EDM

Xue Du China

Naseem H. Ansari United States

Dan Kawamori Japan

Takeshi Miyatsuka Japan

Junghyun Kim South Korea

Kirstin Wingler Germany

Qianyong Zhang China

Krishna Rao Maddipati United States

Chan‐Sik Kim South Korea

Helena C.F. Oliveira Brazil

Xue Du China

Stephen S.M. Chung

1.2k ×0.9

237 ×0.3

1.1k ×1.8

PHYSI

1.4k ×2.5

883 ×2.0

EDM

Citations per year, relative to Stephen S.M. Chung Stephen S.M. Chung (= 1×) peers Xue Du

Countries citing papers authored by Stephen S.M. Chung

Since Specialization

Citations

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

Fields of papers citing papers by Stephen S.M. Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen S.M. Chung. 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 Stephen S.M. Chung. The network helps show where Stephen S.M. Chung may publish in the future.

Co-authorship network of co-authors of Stephen S.M. Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen S.M. Chung. A scholar is included among the top collaborators of Stephen S.M. Chung 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 Stephen S.M. Chung. Stephen S.M. Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Shiqing, et al.. (2018). Aldo‐keto reductases‐mediated cytotoxicity of 2‐deoxyglucose: A novel anticancer mechanism. Cancer Science. 109(6). 1970–1980. 13 indexed citations

Jayachandran, Muthukumaran, Tongze Zhang, Kumar Ganesan, Baojun Xu, & Stephen S.M. Chung. (2018). Isoquercetin ameliorates hyperglycemia and regulates key enzymes of glucose metabolism via insulin signaling pathway in streptozotocin-induced diabetic rats. European Journal of Pharmacology. 829. 112–120. 63 indexed citations

Yeung, Patrick K.K., Angela Lai, Hyo Jin Son, et al.. (2016). Aldose reductase deficiency leads to oxidative stress-induced dopaminergic neuronal loss and autophagic abnormality in an animal model of Parkinson's disease. Neurobiology of Aging. 50. 119–133. 21 indexed citations

Chen, Yingxian, Xinmei Zhang, Angela Lai, et al.. (2013). Exchange protein activated by cAMP 1 (Epac1) ‐deficient mice develop β‐cell dysfunction and metabolic syndrome. The FASEB Journal. 27(10). 4122–4135. 50 indexed citations

Leung, Justin, Wing Tak Wong, Hon Wai Koon, et al.. (2011). Transgenic Mice Over-Expressing ET-1 in the Endothelial Cells Develop Systemic Hypertension with Altered Vascular Reactivity. PLoS ONE. 6(11). e26994–e26994. 33 indexed citations

Cheung, Simon, Justin Leung, Karen S.L. Lam, et al.. (2011). Selective Over-Expression of Endothelin-1 in Endothelial Cells Exacerbates Inner Retinal Edema and Neuronal Death in Ischemic Retina. PLoS ONE. 6(10). e26184–e26184. 18 indexed citations

Tang, Wai Ho, et al.. (2010). Cardiac contractile dysfunction during acute hyperglycemia due to impairment of SERCA by polyol pathway-mediated oxidative stress. American Journal of Physiology-Cell Physiology. 299(3). C643–C653. 65 indexed citations

Lo, Acy, et al.. (2010). More severe type 2 diabetes‐associated ischemic stroke injury is alleviated in aldose reductase‐deficient mice. Journal of Neuroscience Research. 88(9). 2026–2034. 23 indexed citations

Chung, Stephen S.M., et al.. (2010). Aldose Reductase Deficiency Improves Wallerian Degeneration and Nerve Regeneration in Diabeticthy1-YFP Mice. Journal of Neuropathology & Experimental Neurology. 69(3). 294–305. 10 indexed citations

10.

Leung, Justin, et al.. (2009). Endothelial endothelin-1 over-expression using receptor tyrosine kinase tie-1 promoter leads to more severe vascular permeability and blood brain barrier breakdown after transient middle cerebral artery occlusion. Brain Research. 1266. 121–129. 52 indexed citations

11.

Yagihashi, Soroku, Hiroki Mizukami, Saori Ogasawara, et al.. (2009). The role of the polyol pathway in acute kidney injury caused by hindlimb ischaemia in mice. The Journal of Pathology. 220(5). 530–541. 20 indexed citations

12.

Tang, Wai Ho, et al.. (2008). Polyol pathway mediates iron-induced oxidative injury in ischemic–reperfused rat heart. Free Radical Biology and Medicine. 45(5). 602–610. 71 indexed citations

13.

Ho, Ye-Shih, et al.. (2008). Synergistic effect of osmotic and oxidative stress in slow-developing cataract formation. Experimental Eye Research. 87(5). 454–461. 44 indexed citations

14.

Lo, Acy, et al.. (2007). Gene deletion and pharmacological inhibition of aldose reductase protect against retinal ischemic injury. Experimental Eye Research. 85(5). 608–616. 26 indexed citations

15.

Chung, Stephen S.M.. (2005). Aldose Reductase in Diabetic Microvascular Complications. Current Drug Targets. 6(4). 475–486. 111 indexed citations

16.

Li, Zhibin, Chenzhong Liao, Ben C.B. Ko, et al.. (2004). Design, synthesis, and evaluation of a new class of noncyclic 1,3-dicarbonyl compounds as PPARα selective activators. Bioorganic & Medicinal Chemistry Letters. 14(13). 3507–3511. 16 indexed citations

17.

Chung, Stephen S.M.. (2003). Genetic Analysis of Aldose Reductase in Diabetic Complications. Current Medicinal Chemistry. 10(15). 1375–1387. 67 indexed citations

18.

Chung, Stephen S.M., et al.. (2003). Contribution of Polyol Pathway to Diabetes-Induced Oxidative Stress. Journal of the American Society of Nephrology. 14(suppl_3). S233–S236. 471 indexed citations

19.

Chan, Wood Yee, et al.. (1995). Mouse Preproendothelin‐1 Gene. European Journal of Biochemistry. 234(3). 819–826. 27 indexed citations

20.

Carper, Deborah, et al.. (1990). In Vitro Expression of Human Placental Aldose Reductase in Escherichia Coli. Advances in experimental medicine and biology. 284. 129–138. 6 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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