Jiaxin Dai

581 total citations
19 papers, 421 citations indexed

About

Jiaxin Dai is a scholar working on Molecular Biology, Epidemiology and Environmental Chemistry. According to data from OpenAlex, Jiaxin Dai has authored 19 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Environmental Chemistry. Recurrent topics in Jiaxin Dai's work include Arsenic contamination and mitigation (4 papers), Bacteriophages and microbial interactions (3 papers) and Plant Stress Responses and Tolerance (2 papers). Jiaxin Dai is often cited by papers focused on Arsenic contamination and mitigation (4 papers), Bacteriophages and microbial interactions (3 papers) and Plant Stress Responses and Tolerance (2 papers). Jiaxin Dai collaborates with scholars based in China, Saudi Arabia and Germany. Jiaxin Dai's co-authors include Renwei Feng, Christopher Rensing, Lizhen Wang, Ziting Lin, Yanming Zhu, RuiRui Zhang, YuanPing Li, Junming Su, Zhilian Fan and Chunyan Ji and has published in prestigious journals such as The Science of The Total Environment, Applied and Environmental Microbiology and Chemosphere.

In The Last Decade

Jiaxin Dai

15 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaxin Dai China 10 118 107 99 94 75 19 421
Mohd Faheem Khan Ireland 14 65 0.6× 91 0.9× 164 1.7× 128 1.4× 35 0.5× 39 520
Xia Fan China 13 164 1.4× 88 0.8× 155 1.6× 60 0.6× 103 1.4× 30 455
Marcus Taupp Canada 10 52 0.4× 65 0.6× 171 1.7× 34 0.4× 60 0.8× 16 411
Mengqi Xie China 13 20 0.2× 169 1.6× 144 1.5× 29 0.3× 91 1.2× 30 551
Yinxia Li China 10 180 1.5× 27 0.3× 45 0.5× 42 0.4× 39 0.5× 20 464
Anna G. Burrichter Germany 7 50 0.4× 53 0.5× 263 2.7× 16 0.2× 59 0.8× 8 419
Daniel Silva Sena Bastos Brazil 15 82 0.7× 23 0.2× 54 0.5× 59 0.6× 15 0.2× 42 561
Kahoko Nishikawa Japan 11 70 0.6× 82 0.8× 150 1.5× 80 0.9× 28 0.4× 15 511
Joseph G. Ebel United States 13 40 0.3× 108 1.0× 92 0.9× 59 0.6× 19 0.3× 39 559
Almudena F. Villadangos Spain 11 134 1.1× 55 0.5× 176 1.8× 31 0.3× 55 0.7× 14 377

Countries citing papers authored by Jiaxin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaxin Dai. A scholar is included among the top collaborators of Jiaxin 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 Jiaxin Dai. Jiaxin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wang, Fan, Bo Cheng, Wei Wu, et al.. (2025). Mechanistic insights into PFOS-induced inflammatory bowel disease: a network toxicology and molecular docking study. International Journal of Surgery. 111(8). 5150–5161.
2.
Liu, Chang, et al.. (2025). Genome-Wide Identification and Expression Analysis of PP2C Gene Family in Eelgrass. Genes. 16(6). 657–657.
4.
Dai, Jiaxin, Hongyan Chen, Lu Lu, et al.. (2024). A Prospective Study on Risk Prediction of Preeclampsia Using Bi-Platform Calibration and Machine Learning. International Journal of Molecular Sciences. 25(19). 10684–10684.
5.
Jin, Hongli, Mengyao Zhang, Di Liu, et al.. (2023). A bacterium-like particle vaccine displaying protective feline herpesvirus 1 antigens can induce an immune response in mice and cats. Veterinary Microbiology. 287. 109898–109898. 5 indexed citations
6.
He, Yu‐Ying, et al.. (2023). Elemene inhibits the growth and promotes apoptosis of bladder cancer cells through PTEN-Akt signaling pathway. Tropical Journal of Pharmaceutical Research. 22(5). 975–979.
7.
Zhang, Haili, Hongli Jin, Feihu Yan, et al.. (2022). An inactivated recombinant rabies virus chimerically expressed RBD induces humoral and cellular immunity against SARS-CoV-2 and RABV. Virologica Sinica. 38(2). 244–256. 8 indexed citations
8.
Dai, Jiaxin, et al.. (2022). PACAP attenuates hepatic lipid accumulation through the FAIM/AMPK/IRβ axis during overnutrition. Molecular Metabolism. 65. 101584–101584. 9 indexed citations
9.
Gao, Xuheng, Jiaxin Dai, Yutong Zhang, et al.. (2022). Mucus adhesion vs. mucus penetration? Screening nanomaterials for nasal inhalation by MD simulation. Journal of Controlled Release. 353. 366–379. 36 indexed citations
10.
Liu, Qian, et al.. (2022). PACAP Improves Macrophage M1 Polarization and Inflammatory Response by Regulating NF-κB and MAPKs Pathways. Academic Journal of Science and Technology. 1(3). 11–19. 2 indexed citations
11.
You, Le-Xing, Ruirui Zhang, Jiaxin Dai, et al.. (2021). Potential of cadmium resistant Burkholderia contaminans strain ZCC in promoting growth of soy beans in the presence of cadmium. Ecotoxicology and Environmental Safety. 211. 111914–111914. 21 indexed citations
12.
Zhu, Yanming, JiGang Yang, Lizhen Wang, et al.. (2020). Factors influencing the uptake and speciation transformation of antimony in the soil-plant system, and the redistribution and toxicity of antimony in plants. The Science of The Total Environment. 738. 140232–140232. 54 indexed citations
13.
Liu, Qian, et al.. (2020). <p>The Role of JNk Signaling Pathway in Obesity-Driven Insulin Resistance</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 1399–1406. 69 indexed citations
14.
Yuan, Yue, Hengyu Xi, Jiaxin Dai, et al.. (2020). The characteristics and genome analysis of the novel Y. pestis phage JC221. Virus Research. 283. 197982–197982. 15 indexed citations
15.
Xi, Hengyu, Jiaxin Dai, Yigang Tong, et al.. (2019). The Characteristics and Genome Analysis of vB_AviM_AVP, the First Phage Infecting Aerococcus viridans. Viruses. 11(2). 104–104. 25 indexed citations
16.
Feng, Renwei, Lei Lei, Junming Su, et al.. (2019). Toxicity of different forms of antimony to rice plant: Effects on root exudates, cell wall components, endogenous hormones and antioxidant system. The Science of The Total Environment. 711. 134589–134589. 72 indexed citations
17.
Liu, Yang, Haiqin Lv, YuanPing Li, et al.. (2019). Roles of root cell wall components and root plaques in regulating elemental uptake in rice subjected to selenite and different speciation of antimony. Environmental and Experimental Botany. 163. 36–44. 49 indexed citations
18.
Feng, Renwei, Lei Lei, RuiRui Zhang, et al.. (2019). Effects of different inhibitors such as malonic acid, Na3PO4 and HgCl2 on uptake of different forms of antimony in rice plant. Plant and Soil. 445(1-2). 259–271. 13 indexed citations
19.
Zhang, Yufeng, Mengjun Cheng, Hao Zhang, et al.. (2018). Antibacterial Effects of Phage Lysin LysGH15 on Planktonic Cells and Biofilms of Diverse Staphylococci. Applied and Environmental Microbiology. 84(15). 42 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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