Quan Shang

618 total citations
21 papers, 525 citations indexed

About

Quan Shang is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Quan Shang has authored 21 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Surgery and 10 papers in Molecular Biology. Recurrent topics in Quan Shang's work include Drug Transport and Resistance Mechanisms (14 papers), Cholesterol and Lipid Metabolism (9 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). Quan Shang is often cited by papers focused on Drug Transport and Resistance Mechanisms (14 papers), Cholesterol and Lipid Metabolism (9 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). Quan Shang collaborates with scholars based in United States, China and Japan. Quan Shang's co-authors include Guorong Xu, Gerald Salen, Monica Saumoy, G S Tint, Jens J. Holst, Luxing Pan, Hongwei Yu, Shailendra B. Patel, G. Stephen Tint and Jaya Bollineni and has published in prestigious journals such as Journal of Neuroscience, Gastroenterology and Journal of Lipid Research.

In The Last Decade

Quan Shang

21 papers receiving 511 citations

Peers

Quan Shang

SURGE

ONCOL

EPIDE

EDM

KehDih Lai Canada

Chizuru Watanabe Japan

John Lasater United States

Xuemei Ge United States

Sangwon Byun United States

Kari Anne R. Tobin Norway

Yuika Ikeda Japan

David Matye United States

Changting Haudenschild United States

M. Dodson Michael United States

KehDih Lai Canada

Quan Shang

141 ×0.5

SURGE

230 ×1.0

ONCOL

167 ×0.8

103 ×0.9

EPIDE

117 ×1.4

EDM

Citations per year, relative to Quan Shang Quan Shang (= 1×) peers KehDih Lai

Countries citing papers authored by Quan Shang

Since Specialization

Citations

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

Fields of papers citing papers by Quan Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Shang. A scholar is included among the top collaborators of Quan Shang 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 Quan Shang. Quan Shang 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

Obr, Alison E., Yun‐Juan Chang, Alexander Lemenze, et al.. (2022). Breast tumor IGF1R regulates cell adhesion and metastasis: alignment of mouse single cell and human breast cancer transcriptomics. Frontiers in Oncology. 12. 990398–990398. 6 indexed citations

Brown, Tanya L., Quan Shang, H Hashimoto, et al.. (2020). Mechanistic Target of Rapamycin Regulates the Oligodendrocyte Cytoskeleton during Myelination. Journal of Neuroscience. 40(15). 2993–3007. 31 indexed citations

Sun, Na, et al.. (2018). Hormetic Effects of Yttrium on Male Sprague-Dawley Rats.. PubMed. 31(10). 777–780. 5 indexed citations

Shang, Quan, Wei Ding, Zhongguang Luo, et al.. (2017). Cholestyramine alters bile acid amounts and the expression of cholesterol‐related genes in rabbit intestinal and hepatic tissues. Journal of Digestive Diseases. 18(2). 107–114. 2 indexed citations

Shang, Quan & Jing Fu. (2015). Research of Accidents due to Human Factor in Coal Mine Based on GM Model. Advanced materials research. 1092-1093. 692–695. 1 indexed citations

Tint, G S, Luxing Pan, Quan Shang, et al.. (2014). Desmosterol in Brain Is Elevated because DHCR24 Needs REST for Robust Expression but REST Is Poorly Expressed. Developmental Neuroscience. 36(2). 132–142. 5 indexed citations

Shang, Quan, Grace L. Guo, Akira Honda, et al.. (2013). FGF15/19 protein levels in the portal blood do not reflect changes in the ileal FGF15/19 or hepatic CYP7A1 mRNA levels. Journal of Lipid Research. 54(10). 2606–2614. 12 indexed citations

Shang, Quan & Jing Fu. (2013). Exploration of Coalbed Methane Exploitation and Coal Mine Gas Drainage. Applied Mechanics and Materials. 448-453. 3928–3935. 3 indexed citations

Shang, Quan, et al.. (2012). The combination of colesevelam with sitagliptin enhances glycemic control in diabetic ZDF rat model. American Journal of Physiology-Gastrointestinal and Liver Physiology. 302(8). G815–G823. 13 indexed citations

10.

Shang, Quan, Monica Saumoy, Jens J. Holst, Gerald Salen, & Guorong Xu. (2010). Colesevelam improves insulin resistance in a diet-induced obesity (F-DIO) rat model by increasing the release of GLP-1. American Journal of Physiology-Gastrointestinal and Liver Physiology. 298(3). G419–G424. 97 indexed citations

11.

Shang, Quan, Luxing Pan, Monica Saumoy, et al.. (2007). An overlapping binding site in the CYP7A1 promoter allows activation of FXR to override the stimulation by LXRα. American Journal of Physiology-Gastrointestinal and Liver Physiology. 293(4). G817–G823. 7 indexed citations

12.

Shang, Quan, Luxing Pan, Monica Saumoy, et al.. (2006). The stimulatory effect of LXRα is blocked by SHP despite the presence of a LXRα binding site in the rabbit CYP7A1 promoter. Journal of Lipid Research. 47(5). 997–1004. 8 indexed citations

13.

Tint, G S, Hongwei Yu, Quan Shang, Guorong Xu, & Shailendra B. Patel. (2006). The use of the Dhcr7 knockout mouse to accurately determine the origin of fetal sterols. Journal of Lipid Research. 47(7). 1535–1541. 85 indexed citations

14.

Xu, Guorong, Luxing Pan, Hai Li, et al.. (2004). Dietary cholesterol stimulates CYP7A1 in rats because farnesoid X receptor is not activated. American Journal of Physiology-Gastrointestinal and Liver Physiology. 286(5). G730–G735. 33 indexed citations

15.

Li, Hai, Quan Shang, Luxing Pan, et al.. (2004). FXR-activating ligands inhibit rabbit ASBT expression via FXR-SHP-FTF cascade. American Journal of Physiology-Gastrointestinal and Liver Physiology. 288(1). G60–G66. 72 indexed citations

16.

Li, Hai, Guorong Xu, Quan Shang, et al.. (2004). Inhibition of ileal bile acid transport lowers plasma cholesterol levels by inactivating hepatic farnesoid X receptor and stimulating cholesterol 7α-hydroxylase. Metabolism. 53(7). 927–932. 51 indexed citations

17.

Xu, Guorong, Hai Li, Luxing Pan, et al.. (2003). FXR-mediated down-regulation of CYP7A1 dominates LXRα in long-term cholesterol-fed NZW rabbits. Journal of Lipid Research. 44(10). 1956–1962. 36 indexed citations

18.

Hai, Li, Guorong Xu, Quan Shang, et al.. (2003). Decreased ilead bile acid reabsorption lowered plasma cholesterol levels by reducing hepatic FXR activation to stimulate CYP7A1. Gastroenterology. 124(4). A159–A160. 2 indexed citations

19.

Tsuruta, James K., et al.. (1998). Expression of germ cell nuclear factor (GCNF/RTR) during spermatogenesis. Molecular Reproduction and Development. 50(1). 93–102. 50 indexed citations

20.

Tsuruta, James K., Quan Shang, Takahisa Hirose, et al.. (1998). Expression of germ cell nuclear factor (GCNF/RTR) during spermatogenesis. Molecular Reproduction and Development. 50(1). 93–102. 4 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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