Juji Dai

869 total citations · 1 hit paper
19 papers, 665 citations indexed

About

Juji Dai is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Juji Dai has authored 19 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Juji Dai's work include RNA modifications and cancer (4 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Juji Dai is often cited by papers focused on RNA modifications and cancer (4 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Juji Dai collaborates with scholars based in China and Hong Kong. Juji Dai's co-authors include Lechi Ye, Wei Cen, Lei Jiang, Jiajie Mo, Jiawen Yang, Bicheng Chen, Yongyu Bai, Xincheng Lu, Liting Lu and Wanqin Liao and has published in prestigious journals such as Biochemical and Biophysical Research Communications, European Journal of Pharmacology and Cancer Letters.

In The Last Decade

Juji Dai

18 papers receiving 663 citations

Hit Papers

align trajectories

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.

Cetuximab promotes RSL3-induced ferroptosis by suppressing the Nrf2/HO-1 signalling pathway in KRAS mutant colorectal cancer

2021 225 citations Jiawen Yang, Jiajie Mo et al. Cell Death and Disease profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Juji Dai China	11	388	241	205	123	74	19	665
Fanhua Kong China	16	445 1.1×	255 1.1×	119 0.6×	130 1.1×	85 1.1×	40	786
Yunjin Zang China	18	405 1.0×	298 1.2×	189 0.9×	147 1.2×	123 1.7×	50	760
Mengting Li China	11	294 0.8×	214 0.9×	270 1.3×	96 0.8×	57 0.8×	35	559
Chao Wu China	15	423 1.1×	263 1.1×	116 0.6×	193 1.6×	88 1.2×	62	768
Siyu Guo China	16	424 1.1×	151 0.6×	168 0.8×	126 1.0×	69 0.9×	58	766
Yuting Wu China	14	351 0.9×	131 0.5×	113 0.6×	104 0.8×	50 0.7×	30	567
Liangliang Bai China	17	348 0.9×	156 0.6×	141 0.7×	251 2.0×	113 1.5×	51	838
Hongfei Tong China	18	392 1.0×	141 0.6×	99 0.5×	133 1.1×	63 0.9×	36	867
Jing Ding China	15	588 1.5×	337 1.4×	72 0.4×	105 0.9×	66 0.9×	37	844

Countries citing papers authored by Juji Dai

Since Specialization

Citations

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

Fields of papers citing papers by Juji Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juji Dai

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

All Works

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19 of 19 papers shown

Liu, Ting, Juji Dai, Ouchen Wang, et al.. (2025). The PDE4DIP-AKAP9 axis promotes lung cancer growth through modulation of PKA signalling. Communications Biology. 8(1). 178–178.

Dai, Juji, Weicheng Liang, Lin Ye, et al.. (2023). PDE4DIP contributes to colorectal cancer growth and chemoresistance through modulation of the NF1/RAS signaling axis. Cell Death and Disease. 14(6). 373–373. 5 indexed citations

Dai, Juji, et al.. (2023). P66shc in the spinal cord is an important contributor in complete Freund's adjuvant induced inflammatory pain in mice. Biochemical and Biophysical Research Communications. 656. 63–69. 1 indexed citations

Dai, Juji, et al.. (2022). Identification of Senescence-Related Subtypes, the Development of a Prognosis Model, and Characterization of Immune Infiltration and Gut Microbiota in Colorectal Cancer. Frontiers in Medicine. 9. 916565–916565. 9 indexed citations

Yu, Yan, Haiyan Zhu, Wenyi Zhang, et al.. (2022). RSPO2 promotes progression of ovarian cancer through dual receptor-mediated FAK/Src signaling activation. iScience. 25(10). 105184–105184. 6 indexed citations

Yuan, Qin, Kaichun Wu, Zheng Zhang, et al.. (2022). NLRC3 deficiency promotes cutaneous wound healing due to the inhibition of p53 signaling. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(11). 166518–166518. 12 indexed citations

Dai, Juji, et al.. (2022). Identification of necroptosis‐related gene signature and characterization of tumour microenvironment infiltration in non‐small‐cell lung cancer. Journal of Cellular and Molecular Medicine. 26(17). 4698–4709. 11 indexed citations

Dai, Juji, et al.. (2022). A Novel Pyroptosis-Associated Gene Signature to Predict Prognosis in Patients with Colorectal Cancer. Evidence-based Complementary and Alternative Medicine. 2022. 1–14. 3 indexed citations

Yang, Jiawen, Jiajie Mo, Juji Dai, et al.. (2021). Cetuximab promotes RSL3-induced ferroptosis by suppressing the Nrf2/HO-1 signalling pathway in KRAS mutant colorectal cancer. Cell Death and Disease. 12(11). 1079–1079. 225 indexed citations breakdown →

10.

Dai, Xiaowei, Juji Dai, Zheng Zhang, et al.. (2020). AFP promotes HCC progression by suppressing the HuR-mediated Fas/FADD apoptotic pathway. Cell Death and Disease. 11(10). 822–822. 119 indexed citations

11.

Dai, Juji, et al.. (2020). Primary anorectal malignant melanoma: a case report.. PubMed. 13(2). 272–276. 4 indexed citations

12.

Dai, Juji, Yan Yu, Qian Zhang, et al.. (2019). Non-invasive Bioluminescence Monitoring of Hepatocellular Carcinoma Therapy in an HCR Mouse Model. Frontiers in Oncology. 9. 864–864. 4 indexed citations

13.

Chen, Ke, Ru‐Liu Li, Qun Du, et al.. (2018). The Role of Xenobiotic Receptors on Hepatic Glycolipid Metabolism. Current Drug Metabolism. 20(1). 29–35. 11 indexed citations

14.

Dong, Xiaoming, Wanqin Liao, Li Zhang, et al.. (2017). RSPO2 suppresses colorectal cancer metastasis by counteracting the Wnt5a/Fzd7-driven noncanonical Wnt pathway. Cancer Letters. 402. 153–165. 53 indexed citations

15.

Zheng, Xiangtao, Ziheng Wu, Ye Wei, et al.. (2016). Induction of autophagy by salidroside through the AMPK-mTOR pathway protects vascular endothelial cells from oxidative stress-induced apoptosis. Molecular and Cellular Biochemistry. 425(1-2). 125–138. 60 indexed citations

16.

Dai, Juji, et al.. (2016). TXNIP mediates the differential responses of A549 cells to sodium butyrate and sodium 4‐phenylbutyrate treatment. Cancer Medicine. 6(2). 424–438. 17 indexed citations

17.

Huang, Xince, Shengjie Dai, Juji Dai, et al.. (2015). Luteolin decreases invasiveness, deactivates STAT3 signaling, and reverses interleukin-6 induced epithelial–mesenchymal transition and matrix metalloproteinase secretion of pancreatic cancer cells. OncoTargets and Therapy. 8. 2989–2989. 78 indexed citations

18.

Huang, Chaohao, Yaya Xu, Lili Tang, et al.. (2015). α-Solanine inhibits vascular endothelial growth factor expression by down-regulating the ERK1/2-HIF-1α and STAT3 signaling pathways. European Journal of Pharmacology. 771. 93–98. 35 indexed citations

19.

Xu, Dan, et al.. (2015). A fast, sensitive, and high throughput method for the determination of nintedanib in mouse plasma by UPLC-MS/MS. Analytical Methods. 7(16). 6561–6565. 12 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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