Ji Wang

710 total citations
29 papers, 574 citations indexed

About

Ji Wang is a scholar working on Molecular Biology, Epidemiology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ji Wang has authored 29 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ji Wang's work include Autophagy in Disease and Therapy (5 papers), Air Quality and Health Impacts (3 papers) and Mitochondrial Function and Pathology (2 papers). Ji Wang is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Air Quality and Health Impacts (3 papers) and Mitochondrial Function and Pathology (2 papers). Ji Wang collaborates with scholars based in China, United States and Czechia. Ji Wang's co-authors include Zhiwei Sun, Xianqing Zhou, Junchao Duan, Yanbo Li, Caixia Guo, Man Yang, Yang Yu, Man Yang, Ru Ma and Xiaoying Liu and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Ji Wang

26 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Wang China 15 188 150 146 100 67 29 574
Lucie Armand France 16 289 1.5× 175 1.2× 268 1.8× 35 0.3× 104 1.6× 19 880
Gautam K. Ginjupalli United States 8 187 1.0× 103 0.7× 130 0.9× 89 0.9× 66 1.0× 18 702
Zhilei Mao China 17 286 1.5× 184 1.2× 164 1.1× 71 0.7× 85 1.3× 34 848
Lisa Franzi United States 16 165 0.9× 229 1.5× 142 1.0× 43 0.4× 55 0.8× 27 829
Alimire Abulikemu China 7 123 0.7× 93 0.6× 100 0.7× 68 0.7× 58 0.9× 12 348
Jinglun Li China 16 188 1.0× 243 1.6× 47 0.3× 119 1.2× 51 0.8× 36 745
Igor Shmarakov Ukraine 13 231 1.2× 56 0.4× 54 0.4× 181 1.8× 34 0.5× 38 709
Jinfeng Wei China 13 112 0.6× 98 0.7× 68 0.5× 26 0.3× 106 1.6× 30 451
Ming Ding China 9 146 0.8× 82 0.5× 203 1.4× 27 0.3× 130 1.9× 12 516
Xue Qi China 17 222 1.2× 207 1.4× 43 0.3× 48 0.5× 33 0.5× 30 634

Countries citing papers authored by Ji Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ji Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Wang. A scholar is included among the top collaborators of Ji Wang 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 Ji Wang. Ji Wang 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.
Wang, Ji, Yuan Li, & Yiyuan Xia. (2025). C/EBPβ as a master regulator of inflammasome signaling in neurodegenerative diseases: mechanisms and therapeutic implications. Frontiers in Immunology. 16. 1656165–1656165.
2.
Liu, Yumeng, Lü Li, Jin Kuk Yang, et al.. (2025). Sedative and hypnotic effects of nuciferine: enhancing rodent sleep via serotonergic system modulation. The International Journal of Neuropsychopharmacology. 28(5).
3.
Li, Xueyan, Hailin Xu, Xinying Zhao, et al.. (2024). Ferroptosis contributing to cardiomyocyte injury induced by silica nanoparticles via miR-125b-2-3p/HO-1 signaling. Particle and Fibre Toxicology. 21(1). 17–17. 14 indexed citations
4.
Zhao, Jindong, et al.. (2024). Protopanaxadiols Eliminate Behavioral Impairments and Mitochondrial Dysfunction in Parkinson’s Disease Mice Model. Neurochemical Research. 49(7). 1751–1761. 4 indexed citations
5.
6.
7.
Maeshige, Noriaki, Xiaoqi Ma, Mami Matsuda, et al.. (2023). Electrical stimulation facilitates NADPH production in pentose phosphate pathway and exerts an anti-inflammatory effect in macrophages. Scientific Reports. 13(1). 17819–17819. 6 indexed citations
8.
Li, Yan, Hailin Xu, Songqing Lv, et al.. (2022). Amorphous silica nanoparticles caused lung injury through the induction of epithelial apoptosis via ROS/Ca 2+ /DRP1-mediated mitochondrial fission signaling. Nanotoxicology. 16(6-8). 713–732. 19 indexed citations
9.
Zheng, Yanfei, Tianxing Li, Ying Zhang, et al.. (2022). COVID-19 Knowledge/Practices, Mental Status, and Return-To-Work Concerns Among Healthcare Workers in Huangzhou District, Huanggang City, China. Frontiers in Public Health. 9. 723118–723118.
10.
Zhang, Yukang, Yanbo Li, Caixia Guo, et al.. (2022). Integrative proteomics and metabolomics approach to elucidate metabolic dysfunction induced by silica nanoparticles in hepatocytes. Journal of Hazardous Materials. 434. 128820–128820. 34 indexed citations
11.
Zhou, Guiqing, Lihua Ren, Haiping Yin, et al.. (2021). The alterations of miRNA and mRNA expression profile and their integration analysis induced by silica nanoparticles in spermatocyte cells. NanoImpact. 23. 100348–100348. 5 indexed citations
12.
Liu, Jianhui, Xiangyang Li, Guiqing Zhou, et al.. (2021). Silica nanoparticles inhibiting the differentiation of round spermatid and chromatin remodeling of haploid period via MIWI in mice. Environmental Pollution. 284. 117446–117446. 14 indexed citations
13.
Wen, Lixin, Rongfang Li, Ji Wang, & Jine Yi. (2019). The reproductive stress hypothesis. Reproduction. 158(6). R209–R218. 6 indexed citations
14.
Guo, Caixia, Ji Wang, Man Yang, et al.. (2017). Amorphous silica nanoparticles induce malignant transformation and tumorigenesis of human lung epithelial cells via P53 signaling. Nanotoxicology. 11(9-10). 1176–1194. 52 indexed citations
15.
Li, Yang, Junchao Duan, Man Yang, et al.. (2017). Transcriptomic analyses of human bronchial epithelial cells BEAS-2B exposed to atmospheric fine particulate matter PM2.5. Toxicology in Vitro. 42. 171–181. 32 indexed citations
16.
Duan, Junchao, Yang Yu, Li Yang, et al.. (2017). Comprehensive understanding of PM2.5 on gene and microRNA expression patterns in zebrafish (Danio rerio) model. The Science of The Total Environment. 586. 666–674. 41 indexed citations
17.
Guo, Caixia, Ji Wang, Jing Li, et al.. (2017). Mitochondrial dysfunction, perturbations of mitochondrial dynamics and biogenesis involved in endothelial injury induced by silica nanoparticles. Environmental Pollution. 236. 926–936. 121 indexed citations
18.
Zhang, Lianshuang, Jialiu Wei, Lihua Ren, et al.. (2016). Endosulfan induces autophagy and endothelial dysfunction via the AMPK/mTOR signaling pathway triggered by oxidative stress. Environmental Pollution. 220(Pt B). 843–852. 34 indexed citations
19.
Wang, Ji. (2013). Inhibitory Effect of Tetracycline on Activated Sludge System and Its Removal Efficiency. China Water & Wastewater. 2 indexed citations
20.
Wang, Ji. (2009). Investigation on lead level in blood of 2141 preschool children. Zhongguo fuyou baojian. 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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