Min Dai

1.4k total citations
61 papers, 840 citations indexed

About

Min Dai is a scholar working on Molecular Biology, Food Science and Pharmacology. According to data from OpenAlex, Min Dai has authored 61 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Food Science and 9 papers in Pharmacology. Recurrent topics in Min Dai's work include Antibiotic Resistance in Bacteria (9 papers), Essential Oils and Antimicrobial Activity (9 papers) and Spine and Intervertebral Disc Pathology (5 papers). Min Dai is often cited by papers focused on Antibiotic Resistance in Bacteria (9 papers), Essential Oils and Antimicrobial Activity (9 papers) and Spine and Intervertebral Disc Pathology (5 papers). Min Dai collaborates with scholars based in China, United States and Egypt. Min Dai's co-authors include Cheng Peng, Guo‐Bao Tian, Lin Lin, Min Qiu, Lan‐Lan Zhong, Liping Yang, Huaqiao Tang, Wei Ouyang, Mohamed Abd El-Gawad El-Sayed Ahmed and Yong Xia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and International Journal of Molecular Sciences.

In The Last Decade

Min Dai

59 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Dai China 17 294 187 127 125 113 61 840
Rosario Musumeci Italy 20 294 1.0× 129 0.7× 147 1.2× 120 1.0× 197 1.7× 51 1.1k
Yong‐Bin Eom South Korea 17 399 1.4× 89 0.5× 118 0.9× 107 0.9× 85 0.8× 69 768
Jinliang Kong China 12 580 2.0× 156 0.8× 103 0.8× 82 0.7× 76 0.7× 55 1.0k
Shuying Li China 18 246 0.8× 285 1.5× 49 0.4× 155 1.2× 251 2.2× 56 1.1k
Myunghwan Jung South Korea 18 310 1.1× 164 0.9× 92 0.7× 121 1.0× 197 1.7× 73 911
Ayman Mubarak Saudi Arabia 18 252 0.9× 101 0.5× 172 1.4× 264 2.1× 130 1.2× 50 1.0k
Jung‐Min Kim South Korea 17 446 1.5× 184 1.0× 59 0.5× 113 0.9× 90 0.8× 42 868
Shuangqi Cai China 11 390 1.3× 117 0.6× 67 0.5× 74 0.6× 55 0.5× 19 668
Saman Soleimanpour Iran 21 390 1.3× 81 0.4× 56 0.4× 173 1.4× 96 0.8× 55 931
Somayeh Yaslianifard Iran 14 286 1.0× 232 1.2× 67 0.5× 214 1.7× 71 0.6× 47 743

Countries citing papers authored by Min Dai

Since Specialization
Citations

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

Fields of papers citing papers by Min Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Min Dai. A scholar is included among the top collaborators of Min 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 Min Dai. Min 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.
Zhang, Yulong, Min Dai, Yuting Chen, et al.. (2025). Dynamic heterogeneity towards drug resistance in AML cells is primarily driven by epigenomic mechanism unveiled by multi-omics analysis. Journal of Advanced Research. 80. 487–501.
2.
Xiao, Chun, Zhuangzhuang Wang, Mingyu Zhang, et al.. (2024). 0-Dimensional/1-dimensional S-scheme Ag2S/BiSI hetero-structured photocatalyst for superb Cr(VI) reduction under full spectrum irradiation. Journal of Colloid and Interface Science. 682. 619–628. 7 indexed citations
3.
Chen, Jieyun, et al.. (2024). Itaconate induces tolerance of Staphylococcus aureus to aminoglycoside antibiotics. Frontiers in Microbiology. 15. 1450085–1450085. 2 indexed citations
4.
Li, Weiyi, et al.. (2024). Protective effect of Tetrandrine on optic nerve by inhibiting glial activation through NF-κB pathway. Heliyon. 10(4). e24749–e24749. 1 indexed citations
5.
Ahmed, Mohamed Abd El-Gawad El-Sayed, Yanxian Yang, Yongqiang Yang, et al.. (2021). Emergence of Hypervirulent Carbapenem-Resistant Klebsiella pneumoniae Coharboring a bla NDM-1 -Carrying Virulent Plasmid and a bla KPC-2 -Carrying Plasmid in an Egyptian Hospital. mSphere. 6(3). 51 indexed citations
6.
Ouyang, Wei, Wanying Zhang, Liping Yang, et al.. (2021). MitoQ protects against hyperpermeability of endothelium barrier in acute lung injury via a Nrf2-dependent mechanism. Redox Biology. 41. 101936–101936. 99 indexed citations
7.
Shen, Cong, Furong Ma, Lan‐Lan Zhong, et al.. (2021). Prevalence, genomic characteristics, and transmission dynamics of mcr-1-positive Salmonella enterica Typhimurium from patients with infectious diarrhea. International Journal of Medical Microbiology. 311(4). 151501–151501. 6 indexed citations
8.
9.
Zhong, Lan-Lan, Cuiyan Tan, Adam P. Roberts, et al.. (2019). <p>Multiplex loop-mediated isothermal amplification (multi-LAMP) assay for rapid detection of <em>mcr-1</em> to <em>mcr-5</em> in colistin-resistant bacteria</p>. Infection and Drug Resistance. Volume 12. 1877–1887. 38 indexed citations
10.
11.
Nguyen, Hung, David Bastian, Jisun Kim, et al.. (2018). Complement C3a and C5a receptors promote GVHD by suppressing mitophagy in recipient dendritic cells. JCI Insight. 3(24). 25 indexed citations
12.
Tang, Huaqiao, Lin Lin, Yao Liu, et al.. (2018). Effect of MRSA on CYP450: dynamic changes of cytokines, oxidative stress, and drug-metabolizing enzymes in mice infected with MRSA. Infection and Drug Resistance. Volume 11. 229–238. 11 indexed citations
13.
Lai, Qi, Tian Gao, Jun Xiao, et al.. (2017). Therapeutic effect of neoadjuvant chemotherapy combined with curettage to treat distal femoral osteosarcoma. Medicine. 96(46). e8672–e8672. 2 indexed citations
14.
Fu, Peng, et al.. (2016). In Vitro and In Vivo Antibacterial Activity of Patchouli Alcohol from Pogostemon cablin. Chinese Journal of Integrative Medicine. 27(2). 125–130. 14 indexed citations
15.
Dai, Min, et al.. (2015). Anti-Trichomonas vaginalisproperties of the oil ofAmomum tsao-koand its major component, geraniol. Pharmaceutical Biology. 54(3). 445–450. 24 indexed citations
16.
Fu, Peng, et al.. (2014). In vitro and in vivo antibacterial activity of Pogostone. Chinese Medical Journal. 127(23). 4001–4005. 29 indexed citations
17.
Chow, Eric P. F., Jun Jing, Yuji Feng, et al.. (2013). Pattern of HIV testing and multiple sexual partnerships among men who have sex with men in China. BMC Infectious Diseases. 13(1). 549–549. 34 indexed citations
18.
Wan, Zongmiao, Min Dai, Jun Miao, Guoan Li, & Kirkham B. Wood. (2012). Radiographic Analysis of PEEK Cage and FRA in Adult Spinal Deformity Fused to Sacrum. Journal of Spinal Disorders & Techniques. 27(6). 327–335. 6 indexed citations
19.
Dai, Min. (2008). Human papillomavirus infection in China:a multi-centric cross-sectional study. Chinese Journal of Disease Control and Prevention. 6 indexed citations
20.
Dai, Min, et al.. (2005). Research on detection of tetracycline resistance gene (tetC) of pathogenic Salmonella from swine by PCR and nucleic acid probe. Xumu shouyi xuebao. 36(5). 482–485. 2 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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