Tingting Dai

683 total citations
37 papers, 470 citations indexed

About

Tingting Dai is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Tingting Dai has authored 37 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Oncology. Recurrent topics in Tingting Dai's work include Cancer-related molecular mechanisms research (3 papers), Perovskite Materials and Applications (3 papers) and Conducting polymers and applications (3 papers). Tingting Dai is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Perovskite Materials and Applications (3 papers) and Conducting polymers and applications (3 papers). Tingting Dai collaborates with scholars based in China, Taiwan and Vietnam. Tingting Dai's co-authors include Shaowen Tian, Yong You, Bo Wang, Hongmei Shi, Zhiyong Xiao, Ziyu Jiang, Xiaoyuan Chu, Xiaobei Mao, Lijun Xue and Jie Duan and has published in prestigious journals such as Advanced Functional Materials, International Journal of Molecular Sciences and Neuroscience.

In The Last Decade

Tingting Dai

34 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingting Dai China 13 176 112 71 58 47 37 470
Bo Ge China 13 209 1.2× 62 0.6× 84 1.2× 52 0.9× 26 0.6× 26 538
Bessi Qorri Canada 12 188 1.1× 99 0.9× 47 0.7× 28 0.5× 57 1.2× 24 557
Omar Al‐Obeed Saudi Arabia 16 259 1.5× 167 1.5× 165 2.3× 75 1.3× 27 0.6× 36 622
Ilaria Casari Australia 15 269 1.5× 267 2.4× 128 1.8× 53 0.9× 47 1.0× 23 697
Kwang-Youn Kim South Korea 10 243 1.4× 61 0.5× 58 0.8× 33 0.6× 33 0.7× 20 512
Yuesheng Xia China 10 129 0.7× 62 0.6× 101 1.4× 45 0.8× 25 0.5× 13 432
Muhammad Arshad Pakistan 8 201 1.1× 90 0.8× 42 0.6× 27 0.5× 33 0.7× 36 507
Sheetal Korde Choudhari India 4 255 1.4× 72 0.6× 128 1.8× 34 0.6× 29 0.6× 5 661
Mai Suzuki Japan 14 436 2.5× 60 0.5× 44 0.6× 36 0.6× 37 0.8× 52 789
Sayaka Matsumoto Japan 16 259 1.5× 151 1.3× 52 0.7× 38 0.7× 40 0.9× 70 690

Countries citing papers authored by Tingting Dai

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Dai. A scholar is included among the top collaborators of Tingting 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 Tingting Dai. Tingting 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.
Cao, Guangwen, Xi Jiao, Yanshuo Cao, et al.. (2025). An integrated prognosis prediction model based on real-word clinical characteristics for immunotherapy in advanced esophageal squamous cell carcinoma. Cancer Immunology Immunotherapy. 74(4). 112–112. 1 indexed citations
2.
Dai, Tingting, Zilong Wang, Zhidong Lou, et al.. (2025). Electrochemical Doping of Halide Perovskites with Silver Interstitial Ions: Mechanistic Insights and Enhanced Performance in Memristor Applications. The Journal of Physical Chemistry Letters. 16(18). 4480–4488. 2 indexed citations
3.
Pan, Peng, et al.. (2024). Evaluating the Quality of Cancer-Related WeChat Public Accounts: Cross-Sectional Study. JMIR Cancer. 10. e52156–e52156. 1 indexed citations
4.
Wu, Jie, et al.. (2024). β-elemene promotes miR-127-3p maturation, induces NSCLCs autophagy, and enhances macrophage M1 polarization through exosomal communication. Journal of Pharmaceutical Analysis. 14(9). 100961–100961. 3 indexed citations
5.
6.
Dai, Tingting, et al.. (2023). Role of Lake Aquatic–Terrestrial Ecotones in the Ecological Restoration of Eutrophic Water Bodies. Toxics. 11(7). 560–560. 10 indexed citations
7.
Yu, Li, Hang Yan, Shengjie Tang, et al.. (2023). LncRNAs in non-small cell lung cancer: novel diagnostic and prognostic biomarkers. Frontiers in Molecular Biosciences. 10. 1297198–1297198. 5 indexed citations
8.
Guo, Yan, Xian Shen, Ying Wang, et al.. (2021). Neonatal maple syrup urine disease in China: two novel mutations in the BCKDHB gene and literature review. Journal of Pediatric Endocrinology and Metabolism. 34(9). 1147–1156. 3 indexed citations
9.
Liang, Miao, et al.. (2021). lncRNA FEZF1‐AS1 regulates biological behaviors of cervical cancer by targeting miRNA‐1254. Food Science & Nutrition. 9(9). 4722–4737. 6 indexed citations
10.
Dai, Tingting, et al.. (2021). Case Report: Infective Endocarditis Caused by Aspergillus flavus in a Hemodialysis Patient. Frontiers in Medicine. 8. 655640–655640. 7 indexed citations
11.
Wang, Xinhong, XiaoChen Tang, Xia Li, et al.. (2021). Implantation of nanofibrous silk scaffolds seeded with bone marrow stromal cells promotes spinal cord regeneration (6686 words). Artificial Cells Nanomedicine and Biotechnology. 49(1). 699–708. 8 indexed citations
12.
13.
Dai, Tingting, et al.. (2019). Interpretation of 2019 ACC/AHA guidelines for primary prevention of cardiovascular diseases. 4(4). 206–209. 1 indexed citations
14.
Xue, Lijun, Xiaobei Mao, Xiaobei Liu, et al.. (2019). Activation of CD3+ T cells by Helicobacter pylori DNA vaccines in potential immunotherapy of gastric carcinoma. Cancer Biology & Therapy. 20(6). 866–876. 16 indexed citations
15.
Dai, Tingting, Bo Wang, Zhiyong Xiao, Yong You, & Shaowen Tian. (2018). Apelin-13 Upregulates BDNF Against Chronic Stress-induced Depression-like Phenotypes by Ameliorating HPA Axis and Hippocampal Glucocorticoid Receptor Dysfunctions. Neuroscience. 390. 151–159. 50 indexed citations
16.
Xie, Tao, Jian Geng, Ye Wang, et al.. (2016). FOXM1 evokes 5-fluorouracil resistance in colorectal cancer depending on ABCC10. Oncotarget. 8(5). 8574–8589. 59 indexed citations
17.
Dong, Xiao, et al.. (2016). A sensitized chemiluminescence system based on the reaction between Ni(IV) complex and luminol: applications to the determinations of β2-agonist drugs. Monatshefte für Chemie - Chemical Monthly. 147(10). 1669–1674. 2 indexed citations
18.
Qin, Yuan, Qiang Zhang, Weilong Zhong, et al.. (2015). Doxycycline reverses epithelial-to-mesenchymal transition and suppresses the proliferation and metastasis of lung cancer cells. Oncotarget. 6(38). 40667–40679. 59 indexed citations
19.
Zhang, Jiong, Yukun Guo, Taotao Lu, et al.. (2015). Oxidation of l-asparagine by bis(hydrogenperiodato)argentate(III): a kinetic investigation. Transition Metal Chemistry. 40(3). 281–286. 4 indexed citations
20.
Chen, Huan, et al.. (2013). “See Me or Not, I Am There”: Chinese White-Collar Moviegoers’ Interpretation of Product Placements in Chinese Commercial Movies. Journal of Promotion Management. 19(5). 507–533. 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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