Weidong Chai

1.8k total citations
35 papers, 1.5k citations indexed

About

Weidong Chai is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Weidong Chai has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 11 papers in Cardiology and Cardiovascular Medicine and 8 papers in Epidemiology. Recurrent topics in Weidong Chai's work include Adipose Tissue and Metabolism (9 papers), Viral gastroenteritis research and epidemiology (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Weidong Chai is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Viral gastroenteritis research and epidemiology (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Weidong Chai collaborates with scholars based in United States, China and Germany. Weidong Chai's co-authors include Zhenqi Liu, Eugene J. Barrett, Wenhong Cao, Wenhui Wang, Zhenhua Dong, Amy J. Mathers, Hong Wang, Katie E. Barry, Guolian Li and Nasui Wang and has published in prestigious journals such as PLoS ONE, Circulation Research and Applied and Environmental Microbiology.

In The Last Decade

Weidong Chai

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weidong Chai United States 22 503 404 355 313 212 35 1.5k
Asad Mustafa Karim South Korea 13 575 1.1× 386 1.0× 145 0.4× 628 2.0× 186 0.9× 29 1.6k
Gisele Facholi Bomfim Brazil 17 323 0.6× 197 0.5× 141 0.4× 265 0.8× 407 1.9× 48 1.4k
Wanderson Geraldo de Lima Brazil 25 240 0.5× 261 0.6× 342 1.0× 177 0.6× 531 2.5× 87 1.6k
Thorsten P. Degenhardt United States 15 430 0.9× 423 1.0× 578 1.6× 67 0.2× 214 1.0× 30 1.9k
Mousa Khoursheed Kuwait 21 307 0.6× 415 1.0× 284 0.8× 84 0.3× 164 0.8× 35 1.2k
Ping Hu China 22 746 1.5× 325 0.8× 90 0.3× 544 1.7× 133 0.6× 74 1.7k
Angelos Evangelopoulos Greece 19 329 0.7× 176 0.4× 123 0.3× 42 0.1× 122 0.6× 36 1.0k
Sadegh Jafarnejad Iran 23 573 1.1× 255 0.6× 159 0.4× 38 0.1× 85 0.4× 48 1.6k
Elena Dibrov Canada 21 504 1.0× 187 0.5× 246 0.7× 105 0.3× 122 0.6× 32 1.3k
Jennie E. Hazen United States 7 1.4k 2.8× 950 2.4× 93 0.3× 203 0.6× 174 0.8× 7 1.9k

Countries citing papers authored by Weidong Chai

Since Specialization
Citations

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

Fields of papers citing papers by Weidong Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weidong Chai. 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 Weidong Chai. The network helps show where Weidong Chai may publish in the future.

Co-authorship network of co-authors of Weidong Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Weidong Chai. A scholar is included among the top collaborators of Weidong Chai 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 Weidong Chai. Weidong Chai 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
1.
2.
Kotay, Shireen, Weidong Chai, William H. Guilford, Katie E. Barry, & Amy J. Mathers. (2017). Spread from the Sink to the Patient: In Situ Study Using Green Fluorescent Protein (GFP)-Expressing Escherichia coli To Model Bacterial Dispersion from Hand-Washing Sink-Trap Reservoirs. Applied and Environmental Microbiology. 83(8). 140 indexed citations
3.
4.
Chai, Weidong, Zhenya Wang, Paweł Janczyk, et al.. (2014). Elevated dietary zinc oxide levels do not have a substantial effect on porcine reproductive and respiratory syndrome virus (PPRSV) vaccination and infection. Virology Journal. 11(1). 140–140. 5 indexed citations
5.
Chai, Weidong, Dorothee Günzel, Robert Pieper, et al.. (2014). High-dose dietary zinc oxide mitigates infection with transmissible gastroenteritis virus in piglets. BMC Veterinary Research. 10(1). 75–75. 34 indexed citations
6.
Chai, Weidong, Linda A. Jahn, Dale Fowler, et al.. (2014). GLP-1 at physiological concentrations recruits skeletal and cardiac muscle microvasculature in healthy humans. Clinical Science. 127(3). 163–170. 80 indexed citations
7.
Chai, Weidong, Xingxing Zhang, Eugene J. Barrett, & Zhenqi Liu. (2014). Glucagon-Like Peptide 1 Recruits Muscle Microvasculature and Improves Insulin’s Metabolic Action in the Presence of Insulin Resistance. Diabetes. 63(8). 2788–2799. 61 indexed citations
8.
Wang, Zhenya, Weidong Chai, Michael Burwinkel, et al.. (2013). Inhibitory Influence of Enterococcus faecium on the Propagation of Swine Influenza A Virus In Vitro. PLoS ONE. 8(1). e53043–e53043. 64 indexed citations
9.
Fu, Zhuo, Lina Zhao, Weidong Chai, et al.. (2013). Ranolazine recruits muscle microvasculature and enhances insulin action in rats. The Journal of Physiology. 591(20). 5235–5249. 30 indexed citations
10.
Chai, Weidong, Zhenhua Dong, Nasui Wang, et al.. (2012). Glucagon-Like Peptide 1 Recruits Microvasculature and Increases Glucose Use in Muscle via a Nitric Oxide–Dependent Mechanism. Diabetes. 61(4). 888–896. 162 indexed citations
11.
Chai, Weidong, Michael Burwinkel, Zhenya Wang, et al.. (2012). Antiviral effects of a probiotic Enterococcus faecium strain against transmissible gastroenteritis coronavirus. Archives of Virology. 158(4). 799–807. 69 indexed citations
12.
Li, Jing, Qian Wang, Weidong Chai, et al.. (2011). Hyperglycemia in apolipoprotein E-deficient mouse strains with different atherosclerosis susceptibility. Cardiovascular Diabetology. 10(1). 117–117. 36 indexed citations
13.
Chai, Weidong, Wenhui Wang, Zhenhua Dong, Wenhong Cao, & Zhenqi Liu. (2011). Angiotensin II Receptors Modulate Muscle Microvascular and Metabolic Responses to Insulin In Vivo. Diabetes. 60(11). 2939–2946. 59 indexed citations
14.
Wang, Hong, Aileen X. Wang, Zhenqi Liu, Weidong Chai, & Eugene J. Barrett. (2009). The Trafficking/Interaction of eNOS and Caveolin-1 Induced by Insulin Modulates Endothelial Nitric Oxide Production. Molecular Endocrinology. 23(10). 1613–1623. 43 indexed citations
15.
Chai, Weidong, Yangsong Wu, Guolian Li, et al.. (2007). Activation of p38 mitogen-activated protein kinase abolishes insulin-mediated myocardial protection against ischemia-reperfusion injury. American Journal of Physiology-Endocrinology and Metabolism. 294(1). E183–E189. 21 indexed citations
16.
17.
Li, Guolian, Eugene J. Barrett, Hong Wang, Weidong Chai, & Zhenqi Liu. (2005). Insulin at Physiological Concentrations Selectively Activates Insulin But Not Insulin-Like Growth Factor I (IGF-I) or Insulin/IGF-I Hybrid Receptors in Endothelial Cells. Endocrinology. 146(11). 4690–4696. 123 indexed citations
18.
Chai, Weidong. (2003). Integrated Coal Gasification Combined Cycle. Turbine Technology. 1 indexed citations
19.
Chai, Weidong. (2002). An experimental study of the relationship between hyperglycemia and insulin-mediated endothelium-dependent vasodilation. Zhonghua neifenmi daixie zazhi. 1 indexed citations
20.
Chai, Weidong, et al.. (2000). The culture of fetal bovine arterial endothelial cells. 20(3). 173–175. 1 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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