Nan Dai

1.4k total citations
75 papers, 1.1k citations indexed

About

Nan Dai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Nan Dai has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 24 papers in Pulmonary and Respiratory Medicine and 23 papers in Oncology. Recurrent topics in Nan Dai's work include RNA modifications and cancer (12 papers), DNA Repair Mechanisms (11 papers) and Gastric Cancer Management and Outcomes (9 papers). Nan Dai is often cited by papers focused on RNA modifications and cancer (12 papers), DNA Repair Mechanisms (11 papers) and Gastric Cancer Management and Outcomes (9 papers). Nan Dai collaborates with scholars based in China, United States and Italy. Nan Dai's co-authors include Mengxia Li, Zhaoyang Zhong, Dong Wang, Yi Qing, Shiheng Zhang, Jinlu Shan, Chengyuan Qian, Debing Xiang, Yanping Cun and Cheng‐Xiong Xu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Nan Dai

70 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Dai China 21 760 258 227 166 115 75 1.1k
Chang‐Han Chen Taiwan 20 535 0.7× 206 0.8× 210 0.9× 109 0.7× 56 0.5× 58 946
Matthias Schuster Germany 11 680 0.9× 386 1.5× 385 1.7× 182 1.1× 67 0.6× 26 1.4k
Xiaoya Guan China 14 500 0.7× 270 1.0× 244 1.1× 155 0.9× 77 0.7× 52 823
Yi Qing China 24 887 1.2× 214 0.8× 318 1.4× 159 1.0× 174 1.5× 57 1.4k
Jialing Yuan China 14 520 0.7× 203 0.8× 292 1.3× 143 0.9× 106 0.9× 26 833
Catherine Phelan United States 17 512 0.7× 236 0.9× 249 1.1× 86 0.5× 76 0.7× 28 1.0k
Yan Hu China 19 976 1.3× 303 1.2× 161 0.7× 105 0.6× 164 1.4× 41 1.3k
Ledu Zhou China 18 683 0.9× 400 1.6× 366 1.6× 221 1.3× 213 1.9× 39 1.3k
Baiyong Shen China 13 586 0.8× 463 1.8× 152 0.7× 63 0.4× 100 0.9× 32 896
Jinlu Shan China 18 436 0.6× 103 0.4× 198 0.9× 169 1.0× 148 1.3× 41 762

Countries citing papers authored by Nan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Nan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Dai. A scholar is included among the top collaborators of Nan 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 Nan Dai. Nan 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.
Luo, Hao, Bin Hu, Jing Chen, et al.. (2024). The miR-23a/27a/24 − 2 cluster drives immune evasion and resistance to PD-1/PD-L1 blockade in non-small cell lung cancer. Molecular Cancer. 23(1). 285–285. 11 indexed citations
2.
Dai, Nan, et al.. (2024). DVL/GSK3/ISL1 pathway signaling: unraveling the mechanism of SIRT3 in neurogenesis and AD therapy. Stem Cell Research & Therapy. 15(1). 299–299. 4 indexed citations
3.
Liu, Gaolei, Hao Luo, Dandan Liang, et al.. (2024). Comprehensive Analysis of Prognostic Alternative Splicing Signatures in Tumor Immune Infiltration in Bladder Cancer. Recent Patents on Anti-Cancer Drug Discovery. 20(2). 185–199. 1 indexed citations
4.
Luo, Hao, Gaolei Liu, Dan Jian, et al.. (2022). Neoadjuvant Chemotherapy Improves the Immunosuppressive Microenvironment of Bladder Cancer and Increases the Sensitivity to Immune Checkpoint Blockade. Journal of Immunology Research. 2022. 1–21. 1 indexed citations
6.
Tang, Tang, Lin-ang Wang, Peng Wang, et al.. (2020). Case Report: Co-Existence of BRCA2 and PALB2 Germline Mutations in Familial Prostate Cancer With Solitary Lung Metastasis. Frontiers in Oncology. 10. 564694–564694. 5 indexed citations
7.
Yang, Yi, et al.. (2020). Complete response of radioresistant brain metastases from non-small cell lung cancer with temozolomide. Medicine. 99(51). e23592–e23592. 5 indexed citations
8.
Liu, Jie, Xiao Yang, Liang Zhang, et al.. (2020). Impact of T-cell receptor and B-cell receptor repertoire on the recurrence of early stage lung adenocarcinoma. Experimental Cell Research. 394(2). 112134–112134. 9 indexed citations
9.
Zhang, Liang, Mengxia Li, Bo Deng, et al.. (2019). <p>HLA-DQB1 expression on tumor cells is a novel favorable prognostic factor for relapse in early-stage lung adenocarcinoma</p>. Cancer Management and Research. Volume 11. 2605–2616. 16 indexed citations
10.
Li, Mengxia, Xiao Yang, Nan Dai, et al.. (2018). APE1 deficiency promotes cellular senescence and premature aging features. Nucleic Acids Research. 46(11). 5664–5677. 54 indexed citations
11.
Yang, Xiao, Yu Peng, Xuan Jiang, et al.. (2018). The regulatory role of APE1 in epithelial‐to‐mesenchymal transition and in determining EGFR‐TKI responsiveness in non‐small‐cell lung cancer. Cancer Medicine. 7(9). 4406–4419. 29 indexed citations
12.
Li, Mengxia, et al.. (2016). Identification of APE1 as a chemotherapeutic prognostic marker for non-small cell lung cancer patients.. Journal of Clinical Oncology. 34(15_suppl). e23065–e23065. 2 indexed citations
13.
Li, Chongyi, Yanli Xiong, Zhaoyang Zhong, et al.. (2014). Association Between a Variant in ADAMTS5 and the Susceptibility to Hepatocellular Carcinoma in a Chinese Han Population. Cell Biochemistry and Biophysics. 72(1). 221–225. 7 indexed citations
14.
Jiang, Xuan, Wei Guan, Mengxia Li, et al.. (2014). Endostatin Combined with Platinum-Based Chemo-radiotherapy for Advanced Non-small Cell Lung Cancer. Cell Biochemistry and Biophysics. 71(2). 571–577. 6 indexed citations
15.
Zhong, Zhaoyang, Mengxia Li, Yi Qing, et al.. (2014). Signal-on electrochemical immunoassay for APE1 using ionic liquid doped Au nanoparticle/graphene as a nanocarrier and alkaline phosphatase as enhancer. The Analyst. 139(24). 6563–6568. 26 indexed citations
16.
Shan, Jinlu, Nan Dai, Xueqin Yang, et al.. (2013). FokI polymorphism in vitamin D receptor gene and risk of breast cancer among Caucasian women. Tumor Biology. 35(4). 3503–3508. 9 indexed citations
17.
Cun, Yanping, Qinhong Zhang, Chengjie Xiong, et al.. (2013). Combined use of adenoviral vector Ad5/F35-mediated APE1 siRNA enhances the therapeutic efficacy of adenoviral-mediated p53 gene transfer in hepatoma cells in vitro and in vivo. Oncology Reports. 29(6). 2197–2204. 6 indexed citations
19.
Zhong, Zhaoyang, Mengxia Li, Debing Xiang, et al.. (2008). Signal amplification of electrochemical immunosensor for the detection of human serum IgG using double-codified nanosilica particles as labels. Biosensors and Bioelectronics. 24(7). 2246–2249. 64 indexed citations
20.
Dai, Nan & Genlin Ji. (2005). Research and Implementation of ID3 Based on Distributed Database System. 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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