Cong Dai

2.4k total citations
77 papers, 1.5k citations indexed

About

Cong Dai is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Cong Dai has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Cong Dai's work include Genomics and Chromatin Dynamics (6 papers), Cancer-related molecular mechanisms research (6 papers) and Epigenetics and DNA Methylation (6 papers). Cong Dai is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Cancer-related molecular mechanisms research (6 papers) and Epigenetics and DNA Methylation (6 papers). Cong Dai collaborates with scholars based in China, United States and Australia. Cong Dai's co-authors include Zhijun Dai, Shuai Lin, Kang Liu, Xinghan Liu, Peng Xu, Hong‐Bao Li, Huafeng Kang, Yujiao Deng, Hui Zhang and Jun Lyu and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Annals of Oncology.

In The Last Decade

Cong Dai

72 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Dai China 22 636 329 321 154 152 77 1.5k
Weida Wang China 20 485 0.8× 240 0.7× 240 0.7× 142 0.9× 120 0.8× 79 1.1k
Liu Yang China 23 718 1.1× 239 0.7× 219 0.7× 234 1.5× 60 0.4× 149 1.9k
Yuan‐Hung Wang Taiwan 26 905 1.4× 253 0.8× 442 1.4× 118 0.8× 67 0.4× 113 2.3k
Hao Zhou China 24 522 0.8× 184 0.6× 251 0.8× 218 1.4× 222 1.5× 84 1.8k
Weili Yang China 24 898 1.4× 226 0.7× 422 1.3× 200 1.3× 265 1.7× 110 2.1k
Yina Wang China 22 434 0.7× 240 0.7× 168 0.5× 168 1.1× 130 0.9× 103 1.6k
Wenbin Liu China 25 691 1.1× 250 0.8× 177 0.6× 183 1.2× 134 0.9× 137 2.0k
Meng Lv China 25 657 1.0× 466 1.4× 369 1.1× 94 0.6× 106 0.7× 103 1.8k
Chan Li China 25 737 1.2× 380 1.2× 251 0.8× 322 2.1× 50 0.3× 95 2.0k
Yue Pan China 23 407 0.6× 257 0.8× 119 0.4× 150 1.0× 97 0.6× 65 1.3k

Countries citing papers authored by Cong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Cong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Dai. A scholar is included among the top collaborators of Cong 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 Cong Dai. Cong 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, Yifan, Yixuan Zhang, Yudong Qiu, et al.. (2025). CD44 identified as a diagnostic biomarker for highly malignant CA19-9 negative pancreatic cancer. Cancer Letters. 622. 217713–217713. 1 indexed citations
2.
Dai, Cong, Menglu Xu, Qian Zhang, et al.. (2025). Alterations of the gut commensal Akkermansia muciniphila in patients with COVID-19. Virulence. 16(1). 2505999–2505999. 1 indexed citations
3.
Wang, Peipei, Cong Dai, Jinyi Liu, et al.. (2024). Increased co-expression of CTLA4/LAG3 predicted adverse clinical outcomes in patients with T-cell malignancies. 1(1). 100004–100004. 9 indexed citations
4.
Li, Hong‐Bao, Menglu Xu, Bo Peng, et al.. (2024). Antihypertensive treatment during pregnancy induces long-term changes in gut microbiota and the behaviors of the attention deficit hyperactivity disorder offspring. Toxicology and Applied Pharmacology. 486. 116946–116946.
5.
Dai, Cong, et al.. (2024). A systematic review of diet, nutrition, and medication use among centenarians and near centenarians worldwide. Proceedings of The Nutrition Society. 83(OCE1). 1 indexed citations
6.
Dai, Cong, et al.. (2024). The association between polymorphism of LDL-R gene and ischemic stroke risk in Chinese population: A meta-analysis. Heliyon. 10(4). e26314–e26314. 1 indexed citations
7.
Dai, Cong & Yu‐Hong Huang. (2023). Infliximab-Induced Psoriasis in an Ulcerative Colitis Patient Successfully Treated with Guselkumab: A Case Report. Revista Española de Enfermedades Digestivas. 116(3). 176–177. 1 indexed citations
8.
Zhang, Haowen, Xiujie Tian, Cong Dai, & Jie Guo. (2023). Usage and Trends of Dietary Supplements in Ultra-Long Distance Endurance Events in China. 1(3). 1–7. 1 indexed citations
9.
Li, Mengshi, Nicholas J. Baumhover, Dijie Liu, et al.. (2023). Preclinical Evaluation of a Lead Specific Chelator (PSC) Conjugated to Radiopeptides for 203Pb and 212Pb-Based Theranostics. Pharmaceutics. 15(2). 414–414. 29 indexed citations
10.
Lin, Shuai, Xiaobin Ma, Peng Xu, et al.. (2022). Marsdenia tenacissima Extract Induces Autophagy and Apoptosis of Hepatocellular Cells via MIF/mToR Signaling. Evidence-based Complementary and Alternative Medicine. 2022. 1–10. 8 indexed citations
11.
Dai, Cong, et al.. (2021). Active Landslides Detection in Zhouqu County, Gansu Province Using InSAR Technology. 46(7). 994–1002. 6 indexed citations
12.
Zhang, Fang, Ke Chen, Wei Li, et al.. (2021). Expression patterns and prognostic value of RUNX genes in kidney cancer. Scientific Reports. 11(1). 14934–14934. 6 indexed citations
13.
Peng, Chang, Weijia Zhang, Cong Dai, et al.. (2019). Study of the aqueous extract of Aloe vera and its two active components on the Wnt/β-catenin and Notch signaling pathways in colorectal cancer cells. Journal of Ethnopharmacology. 243. 112092–112092. 19 indexed citations
14.
Wang, Xiaolong, Lei Sun, Xi-Jing Wang, et al.. (2017). Acidified bile acids enhance tumor progression and telomerase activity of gastric cancer in mice dependent on c‐Myc expression. Cancer Medicine. 6(4). 788–797. 32 indexed citations
15.
Liu, Xinghan, Jun Lü, Wei Duan, et al.. (2017). Predictive Value of UGT1A1*28 Polymorphism In Irinotecan-based Chemotherapy. Journal of Cancer. 8(4). 691–703. 24 indexed citations
16.
Ma, Xiaobin, Xi-Jing Wang, Meng Wang, et al.. (2016). Impact of the PARP1 rs1136410 and rs3219145 polymorphisms on susceptibility and clinicopathologic features of breast cancer in a Chinese population. Translational Cancer Research. 5(5). 520–528. 1 indexed citations
17.
Dai, Cong, Huafeng Kang, Wanggang Zhang, et al.. (2016). The Associations of Single Nucleotide Polymorphisms in miR196a2, miR-499, and miR-608 With Breast Cancer Susceptibility. Medicine. 95(7). e2826–e2826. 36 indexed citations
18.
Dai, Zhijun, Zheng Wang, Xi-Jing Wang, et al.. (2016). Distinct role of the <em>Fas </em>rs1800682 and <em>FasL </em>rs763110 polymorphisms in determining the risk of breast cancer among Han Chinese women. Drug Design Development and Therapy. Volume 10. 2359–2367. 8 indexed citations
19.
Dai, Cong, Tiansong Zhang, Shuai Lin, et al.. (2016). Role of IL-17A rs2275913 and IL-17F rs763780 polymorphisms in risk of cancer development: an updated meta-analysis. Scientific Reports. 6(1). 20439–20439. 43 indexed citations
20.
Dai, Cong, Jie Liu, Xing-Mei Cao, et al.. (2015). Association Between Interleukin-10-3575T>A (rs1800890) Polymorphism and Cancer Risk. Genetic Testing and Molecular Biomarkers. 19(6). 324–330. 3 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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