Chaohui Dai

960 total citations · 1 hit paper
23 papers, 566 citations indexed

About

Chaohui Dai is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Chaohui Dai has authored 23 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Chaohui Dai's work include Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (4 papers) and Antimicrobial Peptides and Activities (3 papers). Chaohui Dai is often cited by papers focused on Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (4 papers) and Antimicrobial Peptides and Activities (3 papers). Chaohui Dai collaborates with scholars based in China, Canada and United States. Chaohui Dai's co-authors include Taylor Hailstock, Kristen Walker, Angelica Van Goor, Joan K. Lunney, Wenbin Bao, Shenglong Wu, Guoqiang Zhu, Li Sun, Zhengchang Wu and Yanjie Huang and has published in prestigious journals such as Journal of Hazardous Materials, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

Chaohui Dai

20 papers receiving 558 citations

Hit Papers

Importance of the pig as a human biomedical model 2021 2026 2022 2024 2021 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Importance of the pig as a human biomedical model
    2021 414 citations Joan K. Lunney, Angelica Van Goor et al. Science Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaohui Dai China 9 256 100 97 76 74 23 566
Kristen Walker United States 4 188 0.7× 102 1.0× 64 0.7× 73 1.0× 44 0.6× 8 450
Taylor Hailstock United States 2 180 0.7× 89 0.9× 52 0.5× 72 0.9× 43 0.6× 4 418
Ann-Britt Nygård Denmark 6 262 1.0× 86 0.9× 68 0.7× 42 0.6× 57 0.8× 8 507
Shanshan Yang China 14 169 0.7× 108 1.1× 78 0.8× 39 0.5× 77 1.0× 42 578
Jesús Valdés Mexico 16 501 2.0× 86 0.9× 69 0.7× 101 1.3× 74 1.0× 62 995
Anne Sailer United States 10 343 1.3× 78 0.8× 107 1.1× 94 1.2× 26 0.4× 18 750
Rui Liang China 16 302 1.2× 75 0.8× 41 0.4× 74 1.0× 133 1.8× 53 729
Edgar Ontsouka Switzerland 16 264 1.0× 155 1.6× 79 0.8× 128 1.7× 47 0.6× 39 855
Anagha Gurjar United States 14 278 1.1× 79 0.8× 107 1.1× 64 0.8× 33 0.4× 24 941
Weikang Chen China 10 235 0.9× 153 1.5× 55 0.6× 73 1.0× 52 0.7× 39 705

Countries citing papers authored by Chaohui Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chaohui Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaohui Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Chaohui Dai. A scholar is included among the top collaborators of Chaohui 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 Chaohui Dai. Chaohui 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.
2.
Li, Hui, Qianjie Zhang, Chaohui Dai, et al.. (2024). Berberine alleviates inflammation in polycystic ovary syndrome by inhibiting hyaluronan synthase 2 expression. Phytomedicine. 128. 155456–155456. 12 indexed citations
3.
Zhao, Lei, Chaohui Dai, Bixia Li, et al.. (2023). Lipopolysaccharide accelerates tryptophan degradation in the ovary and the derivative kynurenine disturbs hormone biosynthesis and reproductive performance. Journal of Hazardous Materials. 458. 131988–131988. 11 indexed citations
4.
Dai, Chaohui, et al.. (2023). Bioactive functions of chlorogenic acid and its research progress in pig industry. Journal of Animal Physiology and Animal Nutrition. 108(2). 439–450. 12 indexed citations
5.
Hailstock, Taylor, Chaohui Dai, Kristen Walker, et al.. (2023). Production and characterization of anti-porcine CXCL10 monoclonal antibodies. Cytokine. 174. 156449–156449.
6.
Dai, Chaohui, et al.. (2022). The Competitive Endogenous RNA (ceRNA) Regulation in Porcine Alveolar Macrophages (3D4/21) Infected by Swine Influenza Virus (H1N1 and H3N2). International Journal of Molecular Sciences. 23(3). 1875–1875. 8 indexed citations
7.
8.
Liu, Hu, et al.. (2022). Development of a fully human anti‐GITR antibody with potent antitumor activity using H2L2 mice. FEBS Open Bio. 12(8). 1542–1557. 2 indexed citations
9.
Lunney, Joan K., et al.. (2021). Importance of the pig as a human biomedical model. Science Translational Medicine. 13(621). eabd5758–eabd5758. 414 indexed citations breakdown →
10.
Chai, Xiaojuan, et al.. (2021). Generation and characterization of a high‐affinity chimeric anti‐OX40 antibody with potent antitumor activity. FEBS Letters. 595(11). 1587–1603. 5 indexed citations
11.
Xu, Zhiqiang, et al.. (2021). Preclinical efficacy and toxicity studies of a highly specific chimeric anti‐CD47 antibody. FEBS Open Bio. 11(3). 813–825. 10 indexed citations
12.
13.
Dai, Chaohui, Fang Wang, Shiqin Wang, et al.. (2020). miR-215 Targeting Novel Genes EREG, NIPAL1 and PTPRU Regulates the Resistance to E.coli F18 in Piglets. Genes. 11(9). 1053–1053. 3 indexed citations
14.
Wu, Zhengchang, Yue Cao, Yanjie Huang, et al.. (2018). New Insight into the Molecular Mechanism of the FUT2 Regulating Escherichia coli F18 Resistance in Weaned Piglets. International Journal of Molecular Sciences. 19(11). 3301–3301. 18 indexed citations
15.
Sun, Li, Sen Wu, Chaohui Dai, et al.. (2018). Insight into the molecular mechanism of miR-192 regulating Escherichia coli resistance in piglets. Bioscience Reports. 38(1). 4 indexed citations
16.
Dai, Chaohui, Haifei Wang, Guoqiang Zhu, Shenglong Wu, & Wenbin Bao. (2017). Porcine CD14 gene silencing partially inhibited the bacterial immune response mediated by TLR4 signaling pathway. Gene. 628. 267–274. 1 indexed citations
17.
18.
Dai, Chaohui, et al.. (2017). Nramp1 gene expression in different tissues of Meishan piglets from newborn to weaning. Genetics and Molecular Research. 16(1). 5 indexed citations
19.
Dai, Chaohui, Li Sun, Lihuai Yu, et al.. (2016). Effects of porcine MyD88 knockdown on the expression of TLR4 pathway-related genes and proinflammatory cytokines. Bioscience Reports. 36(6). 13 indexed citations
20.
Liu, Ying, et al.. (2016). Effects of the -791(C→T) mutation in the promoter for tumor necrosis factor alpha on gene expression and resistance of Large White pigs to enterotoxigenic Escherichia coli F18.. PubMed. 80(3). 203–8. 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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