Yibei Dai

558 total citations
21 papers, 339 citations indexed

About

Yibei Dai is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yibei Dai has authored 21 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yibei Dai's work include Cancer, Lipids, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers) and Ferroptosis and cancer prognosis (3 papers). Yibei Dai is often cited by papers focused on Cancer, Lipids, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers) and Ferroptosis and cancer prognosis (3 papers). Yibei Dai collaborates with scholars based in China. Yibei Dai's co-authors include Zhihua Tao, Weiwei Liu, Xuchu Wang, Yu Pan, Yiyun Wang, Danhua Wang, Ping Ying, Xiuzhi Duan, Ying Cao and Yuhua Chen and has published in prestigious journals such as Scientific Reports, Small and British Journal of Cancer.

In The Last Decade

Yibei Dai

20 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yibei Dai China 10 223 107 76 45 35 21 339
Yankun Zhang China 11 185 0.8× 141 1.3× 66 0.9× 22 0.5× 67 1.9× 23 348
Francesca Maria Orlandella Italy 13 188 0.8× 141 1.3× 27 0.4× 29 0.6× 29 0.8× 26 317
S. Wang China 5 194 0.9× 52 0.5× 45 0.6× 28 0.6× 46 1.3× 11 297
Andreea Nuţu Romania 12 190 0.9× 141 1.3× 31 0.4× 32 0.7× 22 0.6× 34 319
Ivana de la Serna United States 9 330 1.5× 129 1.2× 35 0.5× 34 0.8× 34 1.0× 13 447
Kayla Simeone Canada 5 182 0.8× 105 1.0× 90 1.2× 14 0.3× 31 0.9× 5 422
Ana Branković Serbia 7 134 0.6× 65 0.6× 23 0.3× 28 0.6× 22 0.6× 14 271
Darren Qiancheng Tan Singapore 9 242 1.1× 45 0.4× 43 0.6× 21 0.5× 57 1.6× 14 398

Countries citing papers authored by Yibei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yibei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yibei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yibei Dai. A scholar is included among the top collaborators of Yibei 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 Yibei Dai. Yibei 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.
Wang, Xuchu, Tao Chen, Ping Ying, et al.. (2023). Sequence‐Guided Localization of DNA Hybridization Enables Highly Selective and Robust Genotyping. Small. 20(20). e2307985–e2307985. 2 indexed citations
2.
Pan, Yu, Yibei Dai, Tingting Zhuang, et al.. (2022). Identification and Validation of Three Hub Genes Involved in Cell Proliferation and Prognosis of Castration‐Resistant Prostate Cancer. Oxidative Medicine and Cellular Longevity. 2022(1). 8761112–8761112. 2 indexed citations
3.
Zhang, Lingyu, Danhua Wang, Yibei Dai, et al.. (2022). Machine Learning Reveals a Multipredictor Nomogram for Diagnosing the Alzheimer’s Disease Based on Chemiluminescence Immunoassay for Total Tau in Plasma. Frontiers in Aging Neuroscience. 14. 863673–863673. 1 indexed citations
4.
Sun, Tao, Ying Cao, Tiancha Huang, et al.. (2022). Comprehensive analysis of fifteen hub genes to identify a promising diagnostic model, regulated networks, and immune cell infiltration in acute kidney injury. Journal of Clinical Laboratory Analysis. 36(11). e24709–e24709. 6 indexed citations
5.
6.
Zhang, Lingyu, Li Yu, Yibei Dai, et al.. (2021). Glycolysis-related gene expression profiling serves as a novel prognosis risk predictor for human hepatocellular carcinoma. Scientific Reports. 11(1). 18875–18875. 25 indexed citations
7.
8.
Wang, Danhua, Yibei Dai, Xuchu Wang, et al.. (2021). Determination of plasma β-amyloids by rolling circle amplification chemiluminescent immunoassay for noninvasive diagnosis of Alzheimer’s disease. Microchimica Acta. 188(1). 24–24. 7 indexed citations
9.
Cao, Ying, Yibei Dai, Lingyu Zhang, et al.. (2021). Combined Use of Fecal Biomarkers in Inflammatory Bowel Diseases: Oncostatin M and Calprotectin. Journal of Inflammation Research. Volume 14. 6409–6419. 9 indexed citations
10.
Dai, Yibei, Yiyun Wang, Ying Cao, et al.. (2021). A Multivariate Diagnostic Model Based on Urinary EpCAM-CD9-Positive Extracellular Vesicles for Prostate Cancer Diagnosis. Frontiers in Oncology. 11. 777684–777684. 11 indexed citations
11.
Cao, Ying, Yibei Dai, Lingyu Zhang, et al.. (2021). Serum oncostatin M is a potential biomarker of disease activity and infliximab response in inflammatory bowel disease measured by chemiluminescence immunoassay. Clinical Biochemistry. 100. 35–41. 9 indexed citations
12.
Wang, Danhua, Yiwen Sang, Tao Sun, et al.. (2021). Emerging roles and mechanisms of microRNA‑222‑3p in human cancer (Review). International Journal of Oncology. 58(5). 33 indexed citations
13.
Ying, Ping, Xuchu Wang, Yibei Dai, et al.. (2021). A quantitative detection of Cardiotrophin‐1 in chronic heart failure by chemiluminescence immunoassay. Journal of Clinical Laboratory Analysis. 35(4). e23570–e23570. 7 indexed citations
14.
Sang, Yiwen, Xuchu Wang, Yu Pan, et al.. (2020). Prostatic aspirated cellular RNA analysis enables fast diagnosis and staging of prostate cancer. Translational Oncology. 14(1). 100963–100963.
15.
Pan, Yu, Yibei Dai, Jiantao Dong, et al.. (2020). ARMS TaqMan real‐time PCR for genotyping factor V Leiden mutation in Han Chinese. Electrophoresis. 41(23). 2015–2020. 3 indexed citations
16.
Wang, Yiyun, Xuchu Wang, Yibei Dai, et al.. (2019). Rapid and Quantitative Analysis of Exosomes by a Chemiluminescence Immunoassay Using Superparamagnetic Iron Oxide Particles. Journal of Biomedical Nanotechnology. 15(8). 1792–1800. 24 indexed citations
17.
Sun, Tao, Danhua Wang, Ping Ying, et al.. (2019). Integrated profiling identifies SLC5A6 and MFAP2 as novel diagnostic and prognostic biomarkers in gastric cancer patients. International Journal of Oncology. 56(2). 460–469. 17 indexed citations
18.
Liu, Zhenping, Yiyun Wang, Xuchu Wang, et al.. (2018). Toehold integrated molecular beacon system for a versatile non-enzymatic application. Analytical and Bioanalytical Chemistry. 410(28). 7285–7293. 3 indexed citations
19.
Liu, Weiwei, Xuchu Wang, Yiyun Wang, et al.. (2018). SGK1 inhibition-induced autophagy impairs prostate cancer metastasis by reversing EMT. Journal of Experimental & Clinical Cancer Research. 37(1). 73–73. 59 indexed citations
20.
Liu, Weiwei, Xuchu Wang, Yiyun Wang, et al.. (2017). SGK1 inhibition induces autophagy-dependent apoptosis via the mTOR-Foxo3a pathway. British Journal of Cancer. 117(8). 1139–1153. 86 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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