Na Dai

521 total citations
25 papers, 167 citations indexed

About

Na Dai is a scholar working on Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Na Dai has authored 25 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Na Dai's work include Lymphoma Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers) and CAR-T cell therapy research (3 papers). Na Dai is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers) and CAR-T cell therapy research (3 papers). Na Dai collaborates with scholars based in China and Germany. Na Dai's co-authors include Shengming Deng, Shibiao Sang, Bin Zhang, Jihui Li, Yiwei Wu, Tongtong Jia, Minmin Wang, Zhifang Wu, Cuifen Zhao and Wei Yang and has published in prestigious journals such as Scientific Reports, RSC Advances and Biomedicine & Pharmacotherapy.

In The Last Decade

Na Dai

24 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Dai China 9 43 40 38 33 26 25 167
Kui Li China 10 41 1.0× 26 0.7× 37 1.0× 11 0.3× 35 1.3× 29 262
Qibing Wu China 7 17 0.4× 48 1.2× 85 2.2× 17 0.5× 13 0.5× 17 198
Yuhua Wen China 10 20 0.5× 37 0.9× 63 1.7× 56 1.7× 15 0.6× 19 275
Shi-liang Jiang China 9 40 0.9× 23 0.6× 68 1.8× 8 0.2× 28 1.1× 41 306
Quan Liu China 9 13 0.3× 62 1.6× 84 2.2× 43 1.3× 17 0.7× 45 260
Min Ren China 7 76 1.8× 19 0.5× 57 1.5× 17 0.5× 7 0.3× 23 197
Jingjing Zhao China 9 10 0.2× 37 0.9× 85 2.2× 35 1.1× 30 1.2× 29 246
Sahil Gambhir United States 4 18 0.4× 34 0.8× 43 1.1× 20 0.6× 16 0.6× 8 144
M Salhab United Kingdom 11 21 0.5× 109 2.7× 62 1.6× 73 2.2× 6 0.2× 19 331
B Guruprasad India 10 51 1.2× 26 0.7× 51 1.3× 16 0.5× 10 0.4× 26 235

Countries citing papers authored by Na Dai

Since Specialization
Citations

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

Fields of papers citing papers by Na Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Na Dai. A scholar is included among the top collaborators of Na 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 Na Dai. Na 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.
Chen, Xiaolin, et al.. (2025). Impact of dapagliflozin on metabolic phenotype, hormone levels, and fertility in female mice after prolonged high-fat diet. Frontiers in Endocrinology. 15. 1457268–1457268. 1 indexed citations
2.
3.
Zheng, Meng, Chao Wang, Yicong Bian, et al.. (2024). Human dose-escalation study of PET imaging CD8+ T-cell infiltration in solid malignancies with [68Ga]Ga -NODAGA-SNA006. European Journal of Nuclear Medicine and Molecular Imaging. 52(4). 1332–1344. 2 indexed citations
4.
Zhang, Bin, Na Dai, Tongtong Jia, et al.. (2023). Development of a radiomic-clinical nomogram for prediction of survival in patients with diffuse large B-cell lymphoma treated with chimeric antigen receptor T cells. Journal of Cancer Research and Clinical Oncology. 149(13). 11549–11560. 6 indexed citations
5.
Wang, Lingyan, Jin Liu, Zhuoran Wang, et al.. (2023). Dexmedetomidine abates myocardial ischemia reperfusion injury through inhibition of pyroptosis via regulation of miR-665/MEF2D/Nrf2 axis. Biomedicine & Pharmacotherapy. 165. 115255–115255. 21 indexed citations
6.
Li, Jihui, Xiaoyi Zhang, Tongtong Jia, et al.. (2022). Prognostic Value of Radiomic Features of 18F-FDG PET/CT in Patients With B-Cell Lymphoma Treated With CD19/CD22 Dual-Targeted Chimeric Antigen Receptor T Cells. Frontiers in Oncology. 12. 834288–834288. 17 indexed citations
7.
Wang, Yan, Chao Wang, Shibiao Sang, et al.. (2022). Pilot study of a novel nanobody 68 Ga-NODAGA-SNA006 for instant PET imaging of CD8+ T cells. European Journal of Nuclear Medicine and Molecular Imaging. 49(13). 4394–4405. 26 indexed citations
8.
Dai, Na, Shengming Deng, Yi Yang, & Shibiao Sang. (2022). 18-F fluorodeoxyglucose positron emission tomography/computed tomography findings of bilateral primary fallopian tube carcinoma and metastasis to the uterus: a case report and literature review. Journal of International Medical Research. 50(8). 3629179606–3629179606. 1 indexed citations
9.
10.
Dai, Na, Hang Liu, Shengming Deng, Shibiao Sang, & Yiwei Wu. (2021). Post-transplantation Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography in Patients with Lymphoblastic Lymphoma is an Independent Prognostic Factor with an Impact on Progression-Free Survival but not Overall Survival. Technology in Cancer Research & Treatment. 20. 2203798366–2203798366. 2 indexed citations
11.
Tang, Qiyu, Na Dai, Changqing Xie, et al.. (2020). Receptor-interacting serine/threonine kinase 1- and 3-dependent inflammation induced in lungs of chicken infected with Pasteurella multocida. Scientific Reports. 10(1). 6340–6340. 4 indexed citations
12.
13.
Dai, Na, et al.. (2020). STAT3 gene polymorphism in chronic obstructive pulmonary disease.. PubMed. 24(18). 9618–9625. 1 indexed citations
14.
Dai, Na, Lan Song, Ting Lin, et al.. (2020). Berberine and ginsenoside Rg3 act synergistically via the MAPK/ERK pathway in nasopharyngeal carcinoma cells. Journal of Functional Foods. 66. 103802–103802. 9 indexed citations
15.
Dai, Na, et al.. (2019). Vascular repair and anti‑inflammatory effects of soluble epoxide hydrolase inhibitor. Experimental and Therapeutic Medicine. 17(5). 3580–3588. 13 indexed citations
16.
Deng, Shengming, Zhifang Wu, Yiwei Wu, et al.. (2017). Meta-Analysis of the Correlation between Apparent Diffusion Coefficient and Standardized Uptake Value in Malignant Disease. Contrast Media & Molecular Imaging. 2017. 1–16. 14 indexed citations
17.
Tang, Qiyu, et al.. (2017). The Role of Necroptosis, Apoptosis, and Inflammation in Fowl Cholera–Associated Liver Injury in a Chicken Model. Avian Diseases. 61(4). 491–502. 12 indexed citations
18.
Dai, Na, et al.. (2017). Impact of Dexmedetomidine on Intraoperative Wake-Up Tests in Patients Undergoing Spinal Surgery. Journal of PeriAnesthesia Nursing. 33(4). 448–452. 3 indexed citations
19.
Dai, Na, et al.. (2014). Effect of Jingqian Zhitong Fang on Serum Sex Hormone Levels in Women with Primary Dysmenorrhea. Evidence-based Complementary and Alternative Medicine. 2014(1). 876431–876431. 3 indexed citations
20.
Dai, Na, et al.. (2014). Effect of dexmedetomidine-etomidate-fentanyl combined anesthesia on somatosensory- and motor-evoked potentials in patients undergoing spinal surgery. Experimental and Therapeutic Medicine. 7(5). 1383–1387. 11 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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