Jun Shi

2.2k total citations
48 papers, 1.8k citations indexed

About

Jun Shi is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Jun Shi has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Immunology and 7 papers in Physiology. Recurrent topics in Jun Shi's work include Bone Metabolism and Diseases (6 papers), Pancreatic function and diabetes (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Jun Shi is often cited by papers focused on Bone Metabolism and Diseases (6 papers), Pancreatic function and diabetes (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Jun Shi collaborates with scholars based in China, United States and Hong Kong. Jun Shi's co-authors include Konstantin V. Kandror, Baoping Chen, Suxia Yang, Huicong Li, Nicholas C. Carpita, Partha Chakrabarti, Cynthia M. Smas, Xiaoguang Zhu, Chikwendu Ibebunjo and Liqing Luo and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Jun Shi

48 papers receiving 1.8k citations

Peers

Jun Shi

PHYSI

EPIDE

SURGE

Sei‐Jung Lee South Korea

Seong Min Kim South Korea

Marthandam Asokan Shibu Taiwan

Jung‐Hyun Kim South Korea

Xuegang Luo China

Vijaya Padma Viswanadha India

Ruyuan Zhu China

Zhen Wei China

Kexin Wang China

Longhuo Wu China

Sei‐Jung Lee South Korea

Jun Shi

1.0k ×1.0

261 ×0.9

PHYSI

203 ×0.9

189 ×1.1

EPIDE

195 ×1.1

SURGE

Citations per year, relative to Jun Shi Jun Shi (= 1×) peers Sei‐Jung Lee

Countries citing papers authored by Jun Shi

Since Specialization

Citations

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

Fields of papers citing papers by Jun Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Shi

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

Luo, Liqing, Jascha Parkington, Samuel M. Cadena, et al.. (2019). HDAC4 Controls Muscle Homeostasis through Deacetylation of Myosin Heavy Chain, PGC-1α, and Hsc70. Cell Reports. 29(3). 749–763.e12. 67 indexed citations

Sun, Zhiqiang, Yali Ma, Fang Chen, et al.. (2018). Artesunate ameliorates high glucose-induced rat glomerular mesangial cell injury by suppressing the TLR4/NF-κB/NLRP3 inflammasome pathway. Chemico-Biological Interactions. 293. 11–19. 75 indexed citations

Zhang, Hongyang, Xiaojuan Shi, Long Wang, et al.. (2018). Intramembranous ossification and endochondral ossification are impaired differently between glucocorticoid-induced osteoporosis and estrogen deficiency-induced osteoporosis. Scientific Reports. 8(1). 3867–3867. 30 indexed citations

Ma, Yali, Fang Chen, & Jun Shi. (2018). Rhein inhibits malignant phenotypes of human renal cell carcinoma by impacting on MAPK/NF-κB signaling pathways. OncoTargets and Therapy. Volume 11. 1385–1394. 18 indexed citations

Zhu, Xiaoguang, Jun Shi, & Huicong Li. (2018). Liquiritigenin attenuates high glucose-induced mesangial matrix accumulation, oxidative stress, and inflammation by suppression of the NF-κB and NLRP3 inflammasome pathways. Biomedicine & Pharmacotherapy. 106. 976–982. 74 indexed citations

Wang, Shiying, Xinxin Zhao, Suxia Yang, Baoping Chen, & Jun Shi. (2017). Salidroside alleviates high glucose-induced oxidative stress and extracellular matrix accumulation in rat glomerular mesangial cells by the TXNIP-NLRP3 inflammasome pathway. Chemico-Biological Interactions. 278. 48–53. 86 indexed citations

Wang, Min, et al.. (2017). Scoparone attenuates high glucose-induced extracellular matrix accumulation in rat mesangial cells. European Journal of Pharmacology. 815. 376–380. 25 indexed citations

Li, Xiaojie, Qiang Jie, Hongyang Zhang, et al.. (2016). Disturbed MEK/ERK signaling increases osteoclast activity via the Hedgehog-Gli pathway in postmenopausal osteoporosis. Progress in Biophysics and Molecular Biology. 122(2). 101–111. 19 indexed citations

Lv, Jinlei, Qinkai Chen, Yi Shao, Yuhua Chen, & Jun Shi. (2015). Cross-talk between angiotensin-II and toll-like receptor 4 triggers a synergetic inflammatory response in rat mesangial cells under high glucose conditions. Biochemical and Biophysical Research Communications. 459(2). 264–269. 23 indexed citations

10.

Huang, Qiang, Bo Gao, Long Wang, et al.. (2015). Ophiopogonin D: A new herbal agent against osteoporosis. Bone. 74. 18–28. 50 indexed citations

11.

Huang, Qiang, Jun Shi, Bo Gao, et al.. (2014). Gastrodin: An ancient Chinese herbal medicine as a source for anti-osteoporosis agents via reducing reactive oxygen species. Bone. 73. 132–144. 72 indexed citations

12.

Li, Jie, et al.. (2014). Interleukin-21 Responses in Patients with Chronic Hepatitis B. Journal of Interferon & Cytokine Research. 35(2). 134–142. 10 indexed citations

13.

Gao, Bo, Qiang Huang, Bo-Yuan Wei, et al.. (2014). Dose-Dependent Effect of Estrogen Suppresses the Osteo-Adipogenic Transdifferentiation of Osteoblasts via Canonical Wnt Signaling Pathway. PLoS ONE. 9(6). e99137–e99137. 42 indexed citations

14.

Huang, Guanrong, et al.. (2013). Insulin responsiveness of glucose transporter 4 in 3T3-L1 cells depends on the presence of sortilin. Molecular Biology of the Cell. 24(19). 3115–3122. 48 indexed citations

15.

Shi, Jun, et al.. (2012). Formulation of liposomes gels of paeonol for transdermal drug delivery by Box-Behnken statistical design. Journal of Liposome Research. 22(4). 270–278. 21 indexed citations

16.

Shi, Jun, Wenjuan Cong, Yiming Wang, Qingfei Liu, & Guoan Luo. (2011). Microemulsion-based patch for transdermal delivery of huperzine A and ligustrazine phosphate in treatment of Alzheimer’s disease. Drug Development and Industrial Pharmacy. 38(6). 752–761. 25 indexed citations

17.

Shi, Jun, Liqing Luo, John K. Eash, Chikwendu Ibebunjo, & David J. Glass. (2011). The SCF-Fbxo40 Complex Induces IRS1 Ubiquitination in Skeletal Muscle, Limiting IGF1 Signaling. Developmental Cell. 21(5). 835–847. 119 indexed citations

18.

Shi, Jun & Konstantin V. Kandror. (2008). Study of Glucose Uptake in Adipose Cells. Methods in molecular biology. 456. 307–315. 28 indexed citations

19.

Shi, Jun, et al.. (2004). V-type ATPase is involved in biogenesis of GLUT4 vesicles. American Journal of Physiology-Endocrinology and Metabolism. 287(3). E547–E552. 6 indexed citations

20.

Shi, Jun, Wenqin Cai, Xuanmao Chen, et al.. (2001). Identification of dopamine responsive mRNAs in glial cells by suppression subtractive hybridization. Brain Research. 910(1-2). 29–37. 15 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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