Chongshan Dai

4.0k total citations · 1 hit paper
95 papers, 3.1k citations indexed

About

Chongshan Dai is a scholar working on Molecular Biology, Molecular Medicine and Plant Science. According to data from OpenAlex, Chongshan Dai has authored 95 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 26 papers in Molecular Medicine and 19 papers in Plant Science. Recurrent topics in Chongshan Dai's work include Antibiotic Resistance in Bacteria (16 papers), Genomics, phytochemicals, and oxidative stress (13 papers) and Mycotoxins in Agriculture and Food (13 papers). Chongshan Dai is often cited by papers focused on Antibiotic Resistance in Bacteria (16 papers), Genomics, phytochemicals, and oxidative stress (13 papers) and Mycotoxins in Agriculture and Food (13 papers). Chongshan Dai collaborates with scholars based in China, Australia and United States. Chongshan Dai's co-authors include Shusheng Tang, Xilong Xiao, Tony Velkov, Jianzhong Shen, Jian Li, Daowen Li, Yang Wang, Gaurav Sharma, Jichang Li and Roberto Cappai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Chongshan Dai

89 papers receiving 3.0k citations

Hit Papers

The Natural Product Curcumin as an Antibacterial Agent: C... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chongshan Dai China 30 1.2k 645 455 434 431 95 3.1k
Shusheng Tang China 35 1.5k 1.2× 512 0.8× 385 0.8× 489 1.1× 489 1.1× 123 3.5k
Salman Khan Pakistan 40 1.5k 1.2× 415 0.6× 220 0.5× 480 1.1× 366 0.8× 134 4.3k
Xilong Xiao China 30 939 0.8× 392 0.6× 310 0.7× 263 0.6× 301 0.7× 68 2.4k
Ashraf B. Abdel‐Naim Egypt 37 1.3k 1.1× 195 0.3× 254 0.6× 553 1.3× 390 0.9× 168 4.2k
Rukkumani Rajagopalan India 34 1.2k 1.0× 474 0.7× 251 0.6× 460 1.1× 274 0.6× 130 3.6k
Chaomei Fu China 42 1.8k 1.5× 228 0.4× 195 0.4× 758 1.7× 486 1.1× 129 4.4k
Ji Hye Kim United States 11 1.2k 1.0× 702 1.1× 161 0.4× 236 0.5× 279 0.6× 13 2.9k
Haihua Feng China 40 1.9k 1.6× 154 0.2× 553 1.2× 581 1.3× 363 0.8× 95 4.0k
Ganapasam Sudhandiran India 36 1.3k 1.1× 146 0.2× 272 0.6× 551 1.3× 359 0.8× 51 3.4k
Ok‐Hwa Kang South Korea 32 1.3k 1.0× 399 0.6× 193 0.4× 535 1.2× 447 1.0× 100 3.0k

Countries citing papers authored by Chongshan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chongshan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongshan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Chongshan Dai. A scholar is included among the top collaborators of Chongshan Dai 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 Chongshan Dai. Chongshan Dai 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.
Zhao, Yue, et al.. (2025). Ciprofloxacin disrupts testosterone synthesis in mice via downregulating StAR expression through NR4A1 pathway. Ecotoxicology and Environmental Safety. 302. 118511–118511.
3.
Dai, Chongshan, Zhihui Hao, Zhanhui Wang, et al.. (2025). Deoxynivalenol exposure-related male reproductive toxicity in mammals: Molecular mechanisms, detoxification and future directions. Environment International. 199. 109478–109478.
4.
Wu, Xuan, et al.. (2024). Comprehensive transcriptomic profiling of T-2 toxin-induced nephrotoxicity in mice. Ecotoxicology and Environmental Safety. 284. 116909–116909. 2 indexed citations
6.
Dai, Chongshan, Daowen Li, Tony Velkov, Jianzhong Shen, & Zhihui Hao. (2024). The Detoxification Effects of Melatonin on Aflatoxin-Caused Toxic Effects and Underlying Molecular Mechanisms. Antioxidants. 13(12). 1528–1528. 1 indexed citations
7.
Li, Meng, Shusheng Tang, Tony Velkov, Jianzhong Shen, & Chongshan Dai. (2024). Copper exposure induces mitochondrial dysfunction and hepatotoxicity via the induction of oxidative stress and PERK/ATF4 -mediated endoplasmic reticulum stress. Environmental Pollution. 352. 124145–124145. 34 indexed citations
8.
Li, Meng, Shusheng Tang, Xinyan Peng, et al.. (2024). Lycopene as a Therapeutic Agent against Aflatoxin B1-Related Toxicity: Mechanistic Insights and Future Directions. Antioxidants. 13(4). 452–452. 13 indexed citations
9.
Dai, Chongshan, Xueyong Zhang, Jiahao Lin, & Jianzhong Shen. (2023). Nootkatone Supplementation Ameliorates Carbon Tetrachloride-Induced Acute Liver Injury via the Inhibition of Oxidative Stress, NF-κB Pathways, and the Activation of Nrf2/HO-1 Pathway. Antioxidants. 12(1). 194–194. 22 indexed citations
10.
Wang, Xueyang, Huangwei Song, Tianyi Ma, et al.. (2023). Dihydroartemisinin inhibits plasmid transfer in drug-resistant <i>Escherichia coli</i> via limiting energy supply. 动物学研究. 44(5). 894–904. 9 indexed citations
11.
Dai, Chongshan, et al.. (2023). Nootkatone Supplementation Attenuates Carbon Tetrachloride Exposure-Induced Nephrotoxicity in Mice. Antioxidants. 12(2). 370–370. 10 indexed citations
12.
Tian, Erjie, Gaurav Sharma, & Chongshan Dai. (2023). Neuroprotective Properties of Berberine: Molecular Mechanisms and Clinical Implications. Antioxidants. 12(10). 1883–1883. 59 indexed citations
13.
Song, Huangwei, Xueyang Wang, Muchen Zhang, et al.. (2023). Dual Effects of Feed-Additive-Derived Chelerythrine in Combating Mobile Colistin Resistance. Engineering. 32. 163–173. 16 indexed citations
15.
Ma, Chao, Yuhan Li, Yanan Zong, et al.. (2022). p21 restricts influenza A virus by perturbing the viral polymerase complex and upregulating type I interferon signaling. PLoS Pathogens. 18(2). e1010295–e1010295. 17 indexed citations
16.
Li, Daowen, Xingyao Pei, Xiaoling Qin, et al.. (2020). Olaquindox-Induced Liver Damage Involved the Crosstalk of Oxidative Stress and p53 In Vivo and In Vitro. Oxidative Medicine and Cellular Longevity. 2020. 1–18. 9 indexed citations
17.
Dai, Chongshan, Xilong Xiao, Feifei Sun, et al.. (2019). T-2 toxin neurotoxicity: role of oxidative stress and mitochondrial dysfunction. Archives of Toxicology. 93(11). 3041–3056. 117 indexed citations
18.
Zhang, Xiya, Ying Wang, Tony Velkov, Shusheng Tang, & Chongshan Dai. (2018). T-2 toxin-induced toxicity in neuroblastoma-2a cells involves the generation of reactive oxygen, mitochondrial dysfunction and inhibition of Nrf2/HO-1 pathway. Food and Chemical Toxicology. 114. 88–97. 58 indexed citations
19.
Dai, Chongshan, Shusheng Tang, Tony Velkov, & Xilong Xiao. (2015). Colistin-Induced Apoptosis of Neuroblastoma-2a Cells Involves the Generation of Reactive Oxygen Species, Mitochondrial Dysfunction, and Autophagy. Molecular Neurobiology. 53(7). 4685–4700. 53 indexed citations
20.
Zhao, Yulian, He Li, Yue Wu, et al.. (2013). Forsythiaside attenuates lipopolysaccharide-induced inflammatory responses in the bursa of Fabricius of chickens by downregulating the NF-κB signaling pathway. Experimental and Therapeutic Medicine. 7(1). 179–184. 58 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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