Jun Gu

1.2k total citations
30 papers, 848 citations indexed

About

Jun Gu is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Jun Gu has authored 30 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pharmacology and 6 papers in Oncology. Recurrent topics in Jun Gu's work include Pharmacogenetics and Drug Metabolism (8 papers), Cancer-related gene regulation (4 papers) and Epigenetics and DNA Methylation (4 papers). Jun Gu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Cancer-related gene regulation (4 papers) and Epigenetics and DNA Methylation (4 papers). Jun Gu collaborates with scholars based in China, United States and Singapore. Jun Gu's co-authors include Xinxin Ding, Ling Nie, Ke Yang, Jinghong Zhao, Melissa Behr, Ting He, Qing-Yu Zhang, Xu Guan, Cheng Wang and Xiaohui Zhao and has published in prestigious journals such as Nature Communications, Biochemical and Biophysical Research Communications and Kidney International.

In The Last Decade

Jun Gu

30 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Gu China 18 351 220 140 139 135 30 848
Christian Fork Germany 16 347 1.0× 114 0.5× 131 0.9× 39 0.3× 44 0.3× 21 782
Patrick J. Flannery United States 13 405 1.2× 166 0.8× 88 0.6× 178 1.3× 22 0.2× 19 1.1k
G. Palladini Italy 20 395 1.1× 54 0.2× 97 0.7× 37 0.3× 42 0.3× 54 1.1k
Kaizheng Gong China 23 665 1.9× 43 0.2× 110 0.8× 70 0.5× 40 0.3× 61 1.4k
Shefalee K. Bhavsar Germany 19 513 1.5× 54 0.2× 78 0.6× 87 0.6× 40 0.3× 32 883
Hengyue Zhu China 16 456 1.3× 35 0.2× 82 0.6× 69 0.5× 31 0.2× 29 777
Motofumi Yokoyama Japan 9 175 0.5× 27 0.1× 75 0.5× 219 1.6× 54 0.4× 22 921
Wenbin Zhang China 19 460 1.3× 20 0.1× 103 0.7× 41 0.3× 68 0.5× 39 920
M. De Luise Australia 14 314 0.9× 145 0.7× 189 1.4× 122 0.9× 18 0.1× 23 895

Countries citing papers authored by Jun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Gu. A scholar is included among the top collaborators of Jun Gu 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 Gu. Jun Gu 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.
Yang, Lu, Nan Wang, Shuang Chen, et al.. (2024). A bibliometric and visualization study of global research trends in sacral Tarlov cyst from 2000 to 2022. Frontiers in Surgery. 10. 1301739–1301739. 1 indexed citations
3.
Chen, Hui, Zhu Zhu, Nan Su, et al.. (2021). Identification and Prediction of Novel Clinical Phenotypes for Intensive Care Patients With SARS-CoV-2 Pneumonia: An Observational Cohort Study. Frontiers in Medicine. 8. 681336–681336. 2 indexed citations
4.
Gu, Yan, Jun Gu, Jie Hao, et al.. (2020). HOXA13 promotes colon cancer progression through β-catenin-dependent WNT pathway. Experimental Cell Research. 395(2). 112238–112238. 22 indexed citations
5.
Huang, Yinghui, Shaobo Wang, Jie Zhou, et al.. (2020). IRF1-mediated downregulation of PGC1α contributes to cardiorenal syndrome type 4. Nature Communications. 11(1). 4664–4664. 49 indexed citations
6.
Gu, Jun, Jinzhou Zhu, Xiaoyan Wang, et al.. (2018). Up-regulation of Dyrk1b promote astrocyte activation following lipopolysaccharide-induced neuroinflammation. Neuropeptides. 69. 76–83. 10 indexed citations
7.
Wang, Yuan Yuan, et al.. (2016). Antimicrobial prescribing patterns in a large tertiary hospital in Shanghai, China. International Journal of Antimicrobial Agents. 48(6). 666–673. 28 indexed citations
8.
Zhao, Mingming, Yan Cai, Weiliang Sun, et al.. (2015). Mammalian target of rapamycin signaling inhibition ameliorates vascular calcification via Klotho upregulation. Kidney International. 88(4). 711–721. 101 indexed citations
9.
Lv, Feng, Fangfang Liu, Xiaojing Guo, et al.. (2015). High Expression of Pyruvate Kinase M2 is Associated with Chemosensitivity to Epirubicin and 5-Fluorouracil in Breast Cancer. Journal of Cancer. 6(11). 1130–1139. 46 indexed citations
10.
Yang, Ke, Cheng Wang, Ling Nie, et al.. (2015). Klotho Protects Against Indoxyl Sulphate-Induced Myocardial Hypertrophy. Journal of the American Society of Nephrology. 26(10). 2434–2446. 151 indexed citations
11.
Lai, Jing, Fang Yang, Wenwen Zhang, et al.. (2014). TAp73 and ΔNp73 Have Opposing Roles in 5-aza-2′-Deoxycytidine-Induced Apoptosis in Breast Cancer Cells. Molecules and Cells. 37(8). 605–612. 11 indexed citations
12.
Cheng, Xingguo, Jun Gu, & Curtis D. Klaassen. (2014). Adaptive Hepatic and Intestinal Alterations in Mice after Deletion of NADPH-Cytochrome P450 Oxidoreductase (Cpr) in Hepatocytes. Drug Metabolism and Disposition. 42(11). 1826–1833. 7 indexed citations
13.
Zeng, Yi, Ling Zhao, Qihua Tan, et al.. (2013). Interactions between Social/ behavioral factors and ADRB2 genotypes may be associated with health at advanced ages in China. BMC Geriatrics. 13(1). 91–91. 10 indexed citations
14.
Ling, Te, Wenbing Xie, Min Luo, et al.. (2013). CHD4/NuRD maintains demethylation state of rDNA promoters through inhibiting the expression of the rDNA methyltransferase recruiter TIP5. Biochemical and Biophysical Research Communications. 437(1). 101–107. 12 indexed citations
15.
16.
Fang, Cheng, Jun Gu, Fang Xie, et al.. (2008). Deletion of the NADPH-Cytochrome P450 Reductase Gene in Cardiomyocytes Does Not Protect Mice against Doxorubicin-Mediated Acute Cardiac Toxicity. Drug Metabolism and Disposition. 36(8). 1722–1728. 23 indexed citations
17.
Wu, Lin, Jun Gu, Huadong Cui, et al.. (2004). Transgenic Mice with a Hypomorphic NADPH-Cytochrome P450 Reductase Gene: Effects on Development, Reproduction, and Microsomal Cytochrome P450. Journal of Pharmacology and Experimental Therapeutics. 312(1). 35–43. 54 indexed citations
18.
Chen, Ying, Ting Su, Li Shi, et al.. (2003). Immunoblot analysis and immunohistochemical characterization of CYP2A expression in human olfactory mucosa. Biochemical Pharmacology. 66(7). 1245–1251. 30 indexed citations
19.
Gu, Jun, Carol A. Dudley, Ting Su, et al.. (1999). Cytochrome P450 and Steroid Hydroxylase Activity in Mouse Olfactory and Vomeronasal Mucosa. Biochemical and Biophysical Research Communications. 266(1). 262–267. 23 indexed citations
20.
Gu, Jun, et al.. (1997). Intraperitoneal Administration of Coumarin Causes Tissue-Selective Depletion of Cytochromes P450 and Cytotoxicity in the Olfactory Mucosa. Toxicology and Applied Pharmacology. 146(1). 134–143. 36 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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