Bing Dai

761 total citations
15 papers, 557 citations indexed

About

Bing Dai is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Bing Dai has authored 15 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Epidemiology. Recurrent topics in Bing Dai's work include Cancer-related molecular mechanisms research (3 papers), Acute Myeloid Leukemia Research (2 papers) and Probiotics and Fermented Foods (2 papers). Bing Dai is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Acute Myeloid Leukemia Research (2 papers) and Probiotics and Fermented Foods (2 papers). Bing Dai collaborates with scholars based in China, United States and United Kingdom. Bing Dai's co-authors include Meng‐Lin Yang, Yufeng Ding, Yamin Shu, Qilin Zhang, Fang Liu, Kun Yang, Zeng Fan, Xianming Mo, Wentong Meng and Jian‐Kun Hu and has published in prestigious journals such as Nature Communications, The EMBO Journal and Scientific Reports.

In The Last Decade

Bing Dai

13 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Dai China 9 293 152 106 83 48 15 557
Yuejie Xu China 11 278 0.9× 123 0.8× 89 0.8× 122 1.5× 27 0.6× 17 529
Maaged Akiel United States 16 303 1.0× 139 0.9× 120 1.1× 77 0.9× 38 0.8× 25 634
Maria Gabriella Giganti Italy 14 252 0.9× 90 0.6× 53 0.5× 89 1.1× 32 0.7× 21 567
Iwona Bednarz‐Misa Poland 18 220 0.8× 146 1.0× 105 1.0× 133 1.6× 28 0.6× 46 653
Yong‐Seok Song United States 15 285 1.0× 159 1.0× 98 0.9× 98 1.2× 21 0.4× 50 693
Jasmin Shafarin United Arab Emirates 16 305 1.0× 69 0.5× 111 1.0× 60 0.7× 37 0.8× 37 653
Yuhong Sun China 13 238 0.8× 124 0.8× 80 0.8× 80 1.0× 17 0.4× 25 576
Mengmeng Dou China 15 322 1.1× 70 0.5× 108 1.0× 48 0.6× 29 0.6× 31 597

Countries citing papers authored by Bing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Dai

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

All Works

15 of 15 papers shown
1.
2.
Dai, Bing, Toan Huynh, Chanyoung Lee, et al.. (2025). ER protein CLCC1 promotes nuclear envelope fusion in herpesviral and host processes. Nature Communications. 16(1). 10256–10256.
3.
4.
Li, Wuping, et al.. (2023). Study on the treatment of postmenopausal osteoporosis with quercetin in Liuwei Dihuang Pill based on network pharmacology. Journal of Orthopaedic Surgery and Research. 18(1). 21–21. 12 indexed citations
5.
Chen, Xinjie, Yuting Dai, Bing Dai, et al.. (2023). Combination of eriocalyxin B and homoharringtonine exerts synergistic anti-tumor effects against t(8;21) AML. Acta Pharmacologica Sinica. 45(3). 633–645. 3 indexed citations
6.
Shu, Yamin, Yufeng Ding, Bing Dai, & Qilin Zhang. (2021). A real-world pharmacovigilance study of axitinib: data mining of the public version of FDA adverse event reporting system. Expert Opinion on Drug Safety. 21(4). 563–572. 45 indexed citations
7.
8.
Qin, Qin, Xiao Xu, Xiuying Wang, et al.. (2018). Glutamate alleviates intestinal injury, maintains mTOR and suppresses TLR4 and NOD signaling pathways in weanling pigs challenged with lipopolysaccharide. Scientific Reports. 8(1). 15124–15124. 34 indexed citations
9.
Hrdinka, Matouš, Lisa Schlicher, Bing Dai, et al.. (2018). Small molecule inhibitors reveal an indispensable scaffolding role of RIPK 2 in NOD 2 signaling. The EMBO Journal. 37(17). 48 indexed citations
10.
Xu, Xiao, Xiuying Wang, Huiling Zhu, et al.. (2018). Glycine Relieves Intestinal Injury by Maintaining mTOR Signaling and Suppressing AMPK, TLR4, and NOD Signaling in Weaned Piglets after Lipopolysaccharide Challenge. International Journal of Molecular Sciences. 19(7). 1980–1980. 37 indexed citations
11.
Xu, Shufeng, Hong Wu, Bing Dai, et al.. (2017). MicroRNA‐214‐3p: A link between autophagy and endothelial cell dysfunction in atherosclerosis. Acta Physiologica. 222(3). 49 indexed citations
12.
Wu, Yutao, Zhoubin Li, Mei Yang, et al.. (2017). MicroRNA-214 regulates smooth muscle cell differentiation from stem cells by targeting RNA-binding protein QKI. Oncotarget. 8(12). 19866–19878. 25 indexed citations
13.
Dai, Bing, et al.. (2016). The effect of Liuwei Dihuang decoction on PI3K/Akt signaling pathway in liver of type 2 diabetes mellitus (T2DM) rats with insulin resistance. Journal of Ethnopharmacology. 192. 382–389. 141 indexed citations
14.
Chen, Tie, Kun Yang, Jianhua Yu, et al.. (2011). Identification and expansion of cancer stem cells in tumor tissues and peripheral blood derived from gastric adenocarcinoma patients. Cell Research. 22(1). 248–258. 147 indexed citations
15.
Cai, Rong, et al.. (2006). Promotive effect of C/EBPepsilon overexpression on differentiation of human myelomonocytic leukemia cell line U-937.. PubMed. 25(11). 1368–73. 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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