Jun Gu

3.4k total citations · 1 hit paper
98 papers, 2.5k citations indexed

About

Jun Gu is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Jun Gu has authored 98 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 23 papers in Pharmacology and 18 papers in Oncology. Recurrent topics in Jun Gu's work include Pharmacogenetics and Drug Metabolism (21 papers), Drug Transport and Resistance Mechanisms (11 papers) and Drug-Induced Hepatotoxicity and Protection (9 papers). Jun Gu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (21 papers), Drug Transport and Resistance Mechanisms (11 papers) and Drug-Induced Hepatotoxicity and Protection (9 papers). Jun Gu collaborates with scholars based in China, United States and Japan. Jun Gu's co-authors include Xinxin Ding, Hegui Gong, Weichao Xue, Xuan Wang, Qing-Yu Zhang, Melissa Behr, Qing-Yu Zhang, Weizhu Yang, Huadong Cui and Yan Weng and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Jun Gu

90 papers receiving 2.5k citations

Hit Papers

Nickel-catalyzed reductive coupling of alkyl halides with... 2015 2026 2018 2022 2015 100 200 300 400

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 27 736 729 524 386 186 98 2.5k
Elżbieta Pękala Poland 24 209 0.3× 912 1.3× 547 1.0× 186 0.5× 118 0.6× 141 2.2k
Shengying Qin China 26 617 0.8× 1.1k 1.6× 269 0.5× 631 1.6× 307 1.7× 163 3.0k
Pin Ju Chueh Taiwan 28 177 0.2× 1.4k 1.9× 249 0.5× 171 0.4× 207 1.1× 77 3.1k
Hans Ehrsson Sweden 36 201 0.3× 1.1k 1.5× 313 0.6× 1.2k 3.1× 164 0.9× 121 3.6k
Mark Thomas United Kingdom 28 82 0.1× 1.1k 1.5× 574 1.1× 239 0.6× 102 0.5× 89 2.5k
Baoxin Zhang China 28 220 0.3× 1.5k 2.1× 649 1.2× 171 0.4× 210 1.1× 102 2.7k
Feng He China 24 263 0.4× 628 0.9× 474 0.9× 118 0.3× 83 0.4× 53 2.0k
Gregory A. Reed United States 23 200 0.3× 754 1.0× 484 0.9× 255 0.7× 230 1.2× 62 2.0k
Zhen Yang China 29 377 0.5× 1.2k 1.6× 103 0.2× 341 0.9× 237 1.3× 118 2.6k
Huijing Wang China 23 152 0.2× 701 1.0× 406 0.8× 69 0.2× 149 0.8× 83 1.9k

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
2.
Jiao, Yi, Tong Shi, Qishun Geng, et al.. (2025). Neutrophils: a Central Point of Interaction Between Immune Cells and Nonimmune Cells in Rheumatoid Arthritis. Clinical Reviews in Allergy & Immunology. 68(1). 34–34. 3 indexed citations
3.
Zheng, Ji-Na, et al.. (2025). Case Report: Acute generalized exanthematous pustulosis with psoriasis successfully treated with Secukinumab. Frontiers in Immunology. 16. 1648655–1648655.
4.
Zhang, Xiao, et al.. (2025). Glutathione-Responsive Polyhomocysteine Derivatives with Ultralow Toxicity toward Therapeutic Delivery. Biomacromolecules. 26(11). 7470–7483.
5.
Li, Mengna, et al.. (2024). TFAP2A is involved in neuropathic pain by regulating Grin1 expression in glial cells of the dorsal root ganglion. Biochemical Pharmacology. 227. 116427–116427. 3 indexed citations
7.
Jiang, Bao‐Chun, Menglin Xu, Jun Gu, et al.. (2024). Follistatin drives neuropathic pain in mice through IGF1R signaling in nociceptive neurons. Science Translational Medicine. 16(769). eadi1564–eadi1564. 7 indexed citations
8.
Geng, Qishun, Tong Shi, Congcong Wen, et al.. (2024). Cannabidiol regulates L-carnitine and butyric acid metabolism by modulating the gut microbiota to ameliorate collagen-induced arthritis. Phytomedicine. 136. 156270–156270. 4 indexed citations
9.
Zhang, Wei, Jiuyan Chen, Jun Gu, et al.. (2023). Nano-carrier for gene delivery and bioimaging based on pentaetheylenehexamine modified carbon dots. Journal of Colloid and Interface Science. 639. 180–192. 50 indexed citations
10.
Chen, Jiuyan, Fang Li, Jun Gu, et al.. (2023). Cancer cells inhibition by cationic carbon dots targeting the cellular nucleus. Journal of Colloid and Interface Science. 637. 193–206. 41 indexed citations
11.
Li, Fang, et al.. (2023). R-Loops in Genome Instability and Cancer. Cancers. 15(20). 4986–4986. 20 indexed citations
12.
Jiang, Bao‐Chun, Xiaobo Wu, Hui Shi, et al.. (2017). Promoted Interaction of C/EBPα with Demethylated Cxcr3 Gene Promoter Contributes to Neuropathic Pain in Mice. Journal of Neuroscience. 37(3). 685–700. 5 indexed citations
13.
Gu, Jun, Xuan Wang, Weichao Xue, & Hegui Gong. (2015). Nickel-catalyzed reductive coupling of alkyl halides with other electrophiles: concept and mechanistic considerations. Organic Chemistry Frontiers. 2(10). 1411–1421. 448 indexed citations breakdown →
14.
Xie, Fang, Xin Zhou, Melissa Behr, et al.. (2010). Mechanisms of olfactory toxicity of the herbicide 2,6-dichlorobenzonitrile: Essential roles of CYP2A5 and target-tissue metabolic activation. Toxicology and Applied Pharmacology. 249(1). 101–106. 17 indexed citations
15.
Xu, Wenwei, et al.. (2010). Impact on cognitive functioning for old men studied in the elderly university. Zhonghua xingwei yixue yu naokexue zazhi. 19(12). 1120–1122. 1 indexed citations
16.
Dostálek, Miroslav, Klarissa D. Hardy, Ginger L. Milne, et al.. (2008). Development of Oxidative Stress by Cytochrome P450 Induction in Rodents Is Selective for Barbiturates and Related to Loss of Pyridine Nucleotide-dependent Protective Systems. Journal of Biological Chemistry. 283(25). 17147–17157. 62 indexed citations
17.
Xiao, Ying, Ming Ge, Xiang Xue, et al.. (2008). Hepatic cytochrome P450s metabolize aristolochic acid and reduce its kidney toxicity. Kidney International. 73(11). 1231–1239. 68 indexed citations
18.
Liu, Huifen, Wenhua Zhou, Xiaohu Xie, et al.. (2004). [Muscarinic receptors modulate the mRNA expression of NMDA receptors in brainstem and the release of glutamate in periaqueductal grey during morphine withdrawal in rats].. PubMed. 56(1). 95–100. 18 indexed citations
19.
Gu, Jun, Yan Weng, Qing-Yu Zhang, et al.. (2003). Liver-specific Deletion of the NADPH-Cytochrome P450 Reductase Gene. Journal of Biological Chemistry. 278(28). 25895–25901. 173 indexed citations
20.
Xie, Qiang, Qing-Yu Zhang, Yan Zhang, et al.. (2000). Induction of Mouse CYP2J by Pyrazole in the Eye, Kidney, Liver, Lung, Olfactory Mucosa, and Small Intestine, but Not in the Heart. Drug Metabolism and Disposition. 28(11). 1311–1316. 22 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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