Jun Xu

6.9k total citations · 1 hit paper
256 papers, 5.0k citations indexed

About

Jun Xu is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Jun Xu has authored 256 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Molecular Biology, 59 papers in Pharmacology and 47 papers in Computational Theory and Mathematics. Recurrent topics in Jun Xu's work include Computational Drug Discovery Methods (46 papers), Microbial Natural Products and Biosynthesis (25 papers) and Bone Metabolism and Diseases (20 papers). Jun Xu is often cited by papers focused on Computational Drug Discovery Methods (46 papers), Microbial Natural Products and Biosynthesis (25 papers) and Bone Metabolism and Diseases (20 papers). Jun Xu collaborates with scholars based in China, United States and Australia. Jun Xu's co-authors include Qiong Gu, Huihao Zhou, Shuangjia Zheng, Yuedong Yang, Yuying Fang, Qingyun Tan, Xin Yan, Zhihong Liu, Xiu‐Cai Chen and Ge Hu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jun Xu

245 papers receiving 5.0k citations

Hit Papers

Inhibiting Ferroptosis through Disrupting the NCOA4–FTH1 ... 2021 2026 2022 2024 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Inhibiting Ferroptosis through Disrupting the NCOA4–FTH1 Interaction: A New Mechanism of Action
    2021 353 citations Huihao Zhou, Jun Xu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Xu China 37 2.8k 1.2k 946 594 523 256 5.0k
Qiong Gu China 37 2.2k 0.8× 652 0.6× 642 0.7× 602 1.0× 482 0.9× 193 4.9k
Douglas E. V. Pires Australia 35 5.1k 1.8× 2.3k 2.0× 613 0.6× 1.5k 2.5× 300 0.6× 93 8.8k
Ajit Jadhav United States 50 5.1k 1.8× 1.3k 1.1× 541 0.6× 929 1.6× 543 1.0× 150 8.1k
Antti Poso Finland 41 2.7k 1.0× 1.3k 1.1× 916 1.0× 866 1.5× 198 0.4× 227 5.7k
Zhenming Liu China 32 2.1k 0.7× 884 0.8× 402 0.4× 644 1.1× 167 0.3× 198 4.3k
Yihua Zhang China 44 2.4k 0.8× 474 0.4× 862 0.9× 1.8k 3.1× 324 0.6× 321 7.2k
Jin Huang China 34 2.5k 0.9× 1.2k 1.0× 328 0.3× 637 1.1× 229 0.4× 164 4.4k
Douglas S. Auld United States 42 4.8k 1.7× 1.1k 0.9× 353 0.4× 625 1.1× 1.0k 2.0× 120 7.1k
Vanessa Neveu France 15 3.1k 1.1× 1.7k 1.5× 472 0.5× 354 0.6× 222 0.4× 18 6.3k
Haopeng Sun China 42 3.1k 1.1× 1.3k 1.1× 1.9k 2.0× 2.2k 3.7× 301 0.6× 268 6.8k

Countries citing papers authored by Jun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xu. A scholar is included among the top collaborators of Jun Xu 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 Xu. Jun Xu 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.
Xu, Jun, et al.. (2024). Biochemical and structural characterization of chlorhexidine as an ATP-assisted inhibitor against type 1 methionyl-tRNA synthetase from Gram-positive bacteria. European Journal of Medicinal Chemistry. 268. 116303–116303. 3 indexed citations
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Ding, Lu, Meihong Wang, Yinghui Zhang, et al.. (2023). Hearing characteristics and otoradiological abnormalities in three patients with novel pathogenic variants of KMT2D‐related Kabuki syndrome. Molecular Genetics & Genomic Medicine. 12(1). e2306–e2306.
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Han, Lu, Taotao Zou, Junjian Wang, et al.. (2023). The binding mode of orphan glycyl-tRNA synthetase with tRNA supports the synthetase classification and reveals large domain movements. Science Advances. 9(6). eadf1027–eadf1027. 12 indexed citations
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Lan, Dongming, Shu Li, Zexin Zhao, et al.. (2021). Glycerol is Released from a New Path in MGL Lipase Catalytic Process. Journal of Chemical Information and Modeling. 62(9). 2248–2256. 2 indexed citations
9.
Gu, Qiong, et al.. (2021). Inhibitory mechanism of reveromycin A at the tRNA binding site of a class I synthetase. Nature Communications. 12(1). 1616–1616. 21 indexed citations
10.
Gu, Qiong, et al.. (2021). Author Correction: Inhibitory mechanism of reveromycin A at the tRNA binding site of a class I synthetase. Nature Communications. 12(1). 2533–2533. 1 indexed citations
11.
Chang, Xinyu, et al.. (2021). Lithium chloride inhibits infectious bronchitis virus-induced apoptosis and inflammation. Microbial Pathogenesis. 162. 105352–105352. 9 indexed citations
12.
Li, Chanjuan, et al.. (2020). Potential Antidiabetic Fumiquinazoline Alkaloids from the Marine-Derived Fungus Scedosporium apiospermum F41-1. Journal of Natural Products. 83(4). 1082–1091. 40 indexed citations
13.
Liu, Zhihong, Dane Huang, Shuangjia Zheng, et al.. (2020). Deep learning enables discovery of highly potent anti-osteoporosis natural products. European Journal of Medicinal Chemistry. 210. 112982–112982. 29 indexed citations
14.
Li, Yanwen, et al.. (2020). Harmane ameliorates obesity though inhibiting lipid accumulation and inducing adipocyte browning. RSC Advances. 10(8). 4397–4403. 6 indexed citations
15.
Li, Liya, Hang Ma, Tingting Liu, et al.. (2020). Glucitol-core containing gallotannins-enriched red maple (Acer rubrum) leaves extract alleviated obesity via modulating short-chain fatty acid production in high-fat diet-fed mice. Journal of Functional Foods. 70. 103970–103970. 18 indexed citations
16.
Zhou, Lin, Qian Liu, Guoju Hong, et al.. (2019). Cumambrin A prevents OVX‐induced osteoporosis via the inhibition of osteoclastogenesis, bone resorption, and RANKL signaling pathways. The FASEB Journal. 33(6). 6726–6735. 14 indexed citations
17.
Cui, Hui, Yena Liu, Qiong Gu, et al.. (2018). Ethylnaphthoquinone derivatives as inhibitors of indoleamine-2, 3-dioxygenase from the mangrove endophytic fungus Neofusicoccum austral SYSU-SKS024. Fitoterapia. 125. 281–285. 15 indexed citations
18.
Xu, Jun, Huiyan Sun, Fengjun Xiao, et al.. (2015). SENP1 inhibition induces apoptosis and growth arrest of multiple myeloma cells through modulation of NF-κB signaling. Biochemical and Biophysical Research Communications. 460(2). 409–415. 42 indexed citations
19.
Huang, Jianbin, Lin Zhou, Nathan J. Pavlos, et al.. (2014). Triptolide inhibits osteoclast formation, bone resorption, RANKL-mediated NF-қB activation and titanium particle-induced osteolysis in a mouse model. Molecular and Cellular Endocrinology. 399. 346–353. 37 indexed citations
20.
Xu, Jun. (2008). Variable interval fuzzy-PI control for inverted plasma cutting power supply. Dianji yu kongzhi xuebao. 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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