Jun Jiang

2.5k total citations
65 papers, 1.9k citations indexed

About

Jun Jiang is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Jun Jiang has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 19 papers in Plant Science and 14 papers in Cancer Research. Recurrent topics in Jun Jiang's work include Mycotoxins in Agriculture and Food (17 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Carcinogens and Genotoxicity Assessment (10 papers). Jun Jiang is often cited by papers focused on Mycotoxins in Agriculture and Food (17 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Carcinogens and Genotoxicity Assessment (10 papers). Jun Jiang collaborates with scholars based in China, United States and Hong Kong. Jun Jiang's co-authors include Yiqun Deng, Peiwu Li, Zhaowei Zhang, Jikai Wen, Liangxiao Zhang, Li Yu, Peiqiang Mu, Ruinan Yang, Xiupin Wang and Jin Mao and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jun Jiang

61 papers receiving 1.9k 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 Jiang China 24 960 463 338 197 172 65 1.9k
Zhi‐Qi Yin China 31 1.5k 1.6× 667 1.4× 358 1.1× 169 0.9× 162 0.9× 160 3.1k
Allen Y. Chen United States 13 952 1.0× 326 0.7× 307 0.9× 107 0.5× 166 1.0× 16 2.0k
Emanuela Camera Italy 32 1.1k 1.1× 414 0.9× 172 0.5× 125 0.6× 76 0.4× 86 4.0k
Alberto Vitali Italy 30 1.2k 1.3× 214 0.5× 215 0.6× 72 0.4× 111 0.6× 87 2.3k
Jie Tang China 25 1.1k 1.1× 170 0.4× 320 0.9× 197 1.0× 149 0.9× 83 2.6k
Xiaobin Zeng China 25 747 0.8× 363 0.8× 230 0.7× 112 0.6× 153 0.9× 88 1.7k
Yin Lu China 26 1.1k 1.2× 232 0.5× 161 0.5× 185 0.9× 109 0.6× 80 2.2k
Tingting Zhou China 23 1.4k 1.4× 463 1.0× 123 0.4× 219 1.1× 58 0.3× 68 2.5k
Yue Ding China 28 964 1.0× 448 1.0× 310 0.9× 106 0.5× 194 1.1× 129 2.4k
Jing Xue China 30 1.5k 1.6× 186 0.4× 158 0.5× 379 1.9× 222 1.3× 103 2.9k

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Jiang. A scholar is included among the top collaborators of Jun Jiang 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 Jiang. Jun Jiang 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.
Wu, Yuting, Ruqin Lin, Qianqian Yuan, et al.. (2025). Mechanistic insights into deoxynivalenol-Induced hepatic cholestasis via IRE1α/HNF1α/FXR signaling dysregulation in mice. Ecotoxicology and Environmental Safety. 301. 118489–118489.
2.
Tian, Min, Zhiyuan Wang, Jinchuan Wu, et al.. (2024). Ultrasmall copper nanodots eye drops for microenvironment regulation of diabetes retinopathy by relieving hypoxia and inhibiting HIF-1α/VEGF signaling pathway. Chemical Engineering Journal. 491. 152130–152130. 9 indexed citations
3.
Lin, Ruqin, Jun Jiang, Peiqiang Mu, et al.. (2024). UPF3B modulates endoplasmic reticulum stress through interaction with inositol-requiring enzyme-1α. Cell Death and Disease. 15(8). 587–587. 2 indexed citations
4.
Li, Xue, Du Wang, Li Yu, et al.. (2024). Contributions of Common Foods to Resveratrol Intake in the Chinese Diet. Foods. 13(8). 1267–1267. 16 indexed citations
5.
Tang, Xiaoqian, Cheng Yang, Jun Jiang, et al.. (2023). Current trends in biosensors for biotoxins (mycotoxins, marine toxins, and bacterial food toxins):principles, application, and perspective. TrAC Trends in Analytical Chemistry. 165. 117144–117144. 64 indexed citations
6.
Hu, Xiao, Jun Jiang, Xiaoqian Tang, et al.. (2023). Smartphone-Based Quantitative Detection of Ochratoxin A in Wheat via a Lateral Flow Assay. Foods. 12(3). 431–431. 8 indexed citations
7.
Wang, Lingling, Qiang Huang, Jun Jiang, et al.. (2022). The metabolism and biotransformation of AFB1: Key enzymes and pathways. Biochemical Pharmacology. 199. 115005–115005. 70 indexed citations
8.
Cai, Xinfa, Fei Ma, Jun Jiang, et al.. (2022). Fe-N-C single-atom nanozyme for ultrasensitive, on-site and multiplex detection of mycotoxins using lateral flow immunoassay. Journal of Hazardous Materials. 441. 129853–129853. 99 indexed citations
9.
Mao, Xiaoxiao, Jie Li, Xin Xie, et al.. (2022). Deoxynivalenol induces caspase-3/GSDME-dependent pyroptosis and inflammation in mouse liver and HepaRG cells. Archives of Toxicology. 96(11). 3091–3112. 36 indexed citations
10.
Chen, Ruohong, Xiaoxuan Chen, Boyen Huang, et al.. (2019). AhR regulates the expression of human cytochrome P450 1A1 (CYP1A1) by recruiting Sp1. FEBS Journal. 286(21). 4215–4231. 50 indexed citations
11.
Tang, Shulin, Shuang Chen, Boyen Huang, et al.. (2019). Deoxynivalenol induces inhibition of cell proliferation via the Wnt/β-catenin signaling pathway. Biochemical Pharmacology. 166. 12–22. 32 indexed citations
13.
Xie, Xuan, et al.. (2018). Sp1, Instead of AhR, Regulates the Basal Transcription of Porcine CYP1A1 at the Proximal Promoter. Frontiers in Pharmacology. 9. 927–927. 5 indexed citations
14.
Jiang, Jun, et al.. (2018). Trisomy silencing by XIST normalizes Down syndrome cell pathogenesis demonstrated for hematopoietic defects in vitro. Nature Communications. 9(1). 5180–5180. 33 indexed citations
15.
Jiang, Jun, et al.. (2015). [Impact of mesenchymal stem cells transplantation on myocardial myocardin-related transcription factor-A and bcl-2 expression in rats with experimental myocardial infarction].. PubMed. 43(6). 531–6. 4 indexed citations
17.
Jiang, Jun, Gregory J. Cost, Allison M. Cotton, et al.. (2013). Translating dosage compensation to trisomy 21. Nature. 500(7462). 296–300. 250 indexed citations
18.
Chen, Jie, Wanjuan Feng, Jun Jiang, Yiqun Deng, & Michael S.Y. Huen. (2012). Ring Finger Protein RNF169 Antagonizes the Ubiquitin-dependent Signaling Cascade at Sites of DNA Damage. Journal of Biological Chemistry. 287(33). 27715–27722. 64 indexed citations
19.
Wang, Jianshe, Jun Jiang, Hongxia Zhang, et al.. (2011). Integrated Transcriptional and Proteomic Analysis with In Vitro Biochemical Assay Reveal the Important Role of CYP3A46 in T-2 Toxin Hydroxylation in Porcine Primary Hepatocytes. Molecular & Cellular Proteomics. 10(9). M111.008748–M111.008748. 42 indexed citations
20.
Jiang, Jun, Adrianne Kolpak, & Zheng‐Zheng Bao. (2009). Myosin IIB isoform plays an essential role in the formation of two distinct types of macropinosomes. Cytoskeleton. 67(1). 32–42. 25 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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