Dong‐Qiu Dai

735 total citations
33 papers, 548 citations indexed

About

Dong‐Qiu Dai is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Dong‐Qiu Dai has authored 33 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 25 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Dong‐Qiu Dai's work include Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (16 papers) and RNA modifications and cancer (15 papers). Dong‐Qiu Dai is often cited by papers focused on Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (16 papers) and RNA modifications and cancer (15 papers). Dong‐Qiu Dai collaborates with scholars based in China and Japan. Dong‐Qiu Dai's co-authors include Cheng Zhang, Chun‐Dong Zhang, Ming-Hui Ma, Yu Liang, Kun-Zhe Wu, Jun‐Peng Pei, Ying Zou, Jiakui Zhang, Zhen Zhang and Yongshuang Li and has published in prestigious journals such as Frontiers in Immunology, Gene and Life Sciences.

In The Last Decade

Dong‐Qiu Dai

33 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong‐Qiu Dai China 16 438 391 83 43 35 33 548
Satoru Inoguchi Japan 10 461 1.1× 410 1.0× 68 0.8× 45 1.0× 55 1.6× 21 567
Meng Pu China 10 465 1.1× 386 1.0× 45 0.5× 63 1.5× 52 1.5× 19 582
Ting‐Qing Gan China 15 471 1.1× 420 1.1× 60 0.7× 70 1.6× 19 0.5× 30 578
You Shuai China 11 489 1.1× 442 1.1× 47 0.6× 59 1.4× 43 1.2× 24 593
Huanye Mo China 16 404 0.9× 350 0.9× 108 1.3× 76 1.8× 28 0.8× 24 561
Yufeng Lv China 12 292 0.7× 231 0.6× 132 1.6× 53 1.2× 30 0.9× 25 408
Yichao Wang China 12 346 0.8× 358 0.9× 50 0.6× 81 1.9× 27 0.8× 27 491
Qijue Lu China 11 342 0.8× 226 0.6× 82 1.0× 69 1.6× 62 1.8× 22 451

Countries citing papers authored by Dong‐Qiu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Qiu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong‐Qiu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Qiu Dai. A scholar is included among the top collaborators of Dong‐Qiu 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 Dong‐Qiu Dai. Dong‐Qiu 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, Xueping, et al.. (2023). Exposure to Commonly Used Drugs and the Risk of Gastric Cancer: An Umbrella Review of Meta-Analyses. Cancers. 15(2). 372–372. 3 indexed citations
2.
Pei, Jun‐Peng, et al.. (2022). Exosomal circRNAs: A key factor of tumor angiogenesis and therapeutic intervention. Biomedicine & Pharmacotherapy. 156. 113921–113921. 8 indexed citations
3.
Pei, Jun‐Peng, Chun‐Dong Zhang, Chun‐Dong Zhang, et al.. (2021). Screening and Validation of the Hypoxia-Related Signature of Evaluating Tumor Immune Microenvironment and Predicting Prognosis in Gastric Cancer. Frontiers in Immunology. 12. 705511–705511. 32 indexed citations
4.
Zhang, Cheng, Yongzhi Li, & Dong‐Qiu Dai. (2021). Aberrant DNA Methylation-Mediated FOXF2 Dysregulation Is a Prognostic Risk Factor for Gastric Cancer. Frontiers in Molecular Biosciences. 8. 645470–645470. 6 indexed citations
5.
Zhang, Cheng, Chun‐Dong Zhang, Yu Liang, et al.. (2020). The comprehensive upstream transcription and downstream targeting regulation network of miRNAs reveal potential diagnostic roles in gastric cancer. Life Sciences. 253. 117741–117741. 8 indexed citations
6.
Ma, Ming-Hui, Cheng Zhang, Jie Liu, et al.. (2019). ZEB1-AS1 initiates a miRNA-mediated ceRNA network to facilitate gastric cancer progression. Cancer Cell International. 19(1). 27–27. 20 indexed citations
7.
Liang, Yu, Chun‐Dong Zhang, Cheng Zhang, & Dong‐Qiu Dai. (2019). DLX6-AS1/miR-204-5p/OCT1 positive feedback loop promotes tumor progression and epithelial–mesenchymal transition in gastric cancer. Gastric Cancer. 23(2). 212–227. 65 indexed citations
8.
Ma, Ming-Hui, et al.. (2019). MiR-1236-3p serves as a new diagnostic and prognostic biomarker for gastric cancer. Cancer Biomarkers. 25(2). 127–132. 24 indexed citations
9.
Zhang, Cheng, Ying Zou, & Dong‐Qiu Dai. (2019). Downregulation of microRNA-27b-3p via aberrant DNA methylation contributes to malignant behavior of gastric cancer cells by targeting GSPT1. Biomedicine & Pharmacotherapy. 119. 109417–109417. 21 indexed citations
10.
Zhang, Cheng, Ming-Hui Ma, Yu Liang, Kun-Zhe Wu, & Dong‐Qiu Dai. (2019). Novel long non-coding RNA LINC02532 promotes gastric cancer cell proliferation, migration, and invasion in vitro. World Journal of Gastrointestinal Oncology. 11(2). 91–101. 16 indexed citations
11.
Zhang, Zhen & Dong‐Qiu Dai. (2019). MicroRNA-596 acts as a tumor suppressor in gastric cancer and is upregulated by promotor demethylation. World Journal of Gastroenterology. 25(10). 1224–1237. 17 indexed citations
12.
Li, Yong-Shuang, Ying Zou, & Dong‐Qiu Dai. (2019). MicroRNA-320a suppresses tumor progression by targeting PBX3 in gastric cancer and is downregulated by DNA methylation. World Journal of Gastrointestinal Oncology. 11(10). 842–856. 14 indexed citations
13.
Liang, Yu, et al.. (2018). Identification and prediction of novel non-coding and coding RNA-associated competing endogenous RNA networks in colorectal cancer. World Journal of Gastroenterology. 24(46). 5259–5270. 28 indexed citations
14.
Zhang, Cheng, Chun‐Dong Zhang, Ming-Hui Ma, & Dong‐Qiu Dai. (2018). Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients. World Journal of Gastroenterology. 24(11). 1206–1215. 29 indexed citations
15.
Deng, Peng, et al.. (2018). Downregulation and DNA methylation of ECRG4 in gastric cancer. OncoTargets and Therapy. Volume 11. 4019–4028. 20 indexed citations
16.
Zhang, Cheng, Yu Liang, Ming-Hui Ma, et al.. (2018). Downregulation of microRNA-376a in Gastric Cancer and Association with Poor Prognosis. Cellular Physiology and Biochemistry. 51(5). 2010–2018. 22 indexed citations
17.
Liu, Jichao, Yongshuang Li, Ying Zou, et al.. (2017). MicroRNA-497 acts as a tumor suppressor in gastric cancer and is downregulated by DNA methylation. Oncology Reports. 38(1). 497–505. 9 indexed citations
18.
Liu, Jichao, et al.. (2016). MiR-455-5p acts as a novel tumor suppressor in gastric cancer by down-regulating RAB18. Gene. 592(2). 308–315. 47 indexed citations
19.
Liu, Jian, et al.. (2015). Genome-wide analysis of histone modifications by ChIP-chip to identify silenced genes in gastric cancer. Oncology Reports. 33(5). 2567–2574. 7 indexed citations
20.
Dai, Dong‐Qiu, et al.. (2008). [Effects of sodium butyrate on proliferation of human gastric cancer cells and expression of p16 gene].. PubMed. 88(17). 1192–6. 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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