Tingting Wu

762 total citations
32 papers, 582 citations indexed

About

Tingting Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Tingting Wu has authored 32 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in Tingting Wu's work include Viral Infections and Immunology Research (5 papers), interferon and immune responses (3 papers) and Corporate Finance and Governance (2 papers). Tingting Wu is often cited by papers focused on Viral Infections and Immunology Research (5 papers), interferon and immune responses (3 papers) and Corporate Finance and Governance (2 papers). Tingting Wu collaborates with scholars based in China, Sweden and Australia. Tingting Wu's co-authors include Xu Zhao, Bingji Ma, Yuan Ruan, Rongzhou Wu, Yi Zhan, Xing Rong, Yingying Sun, Songyue Zhang, Jing Geng and Guang‐Hui Liu and has published in prestigious journals such as PLoS ONE, Carbohydrate Polymers and Journal of Ethnopharmacology.

In The Last Decade

Tingting Wu

28 papers receiving 570 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 Wu China 13 229 144 81 79 76 32 582
Yanming He China 15 229 1.0× 161 1.1× 38 0.5× 100 1.3× 54 0.7× 40 521
Jianhui Liu China 17 331 1.4× 106 0.7× 47 0.6× 163 2.1× 61 0.8× 64 810
Yu Cao China 18 345 1.5× 63 0.4× 83 1.0× 121 1.5× 68 0.9× 70 865
Masafumi Funamoto Japan 16 313 1.4× 65 0.5× 127 1.6× 121 1.5× 36 0.5× 61 732
Hong‐Bo Xiao China 15 177 0.8× 58 0.4× 71 0.9× 71 0.9× 51 0.7× 33 537
Anna Gębska Poland 14 216 0.9× 76 0.5× 118 1.5× 110 1.4× 41 0.5× 22 655
Kirtikar Shukla United States 16 211 0.9× 41 0.3× 49 0.6× 70 0.9× 52 0.7× 29 570
Long Cheng China 17 345 1.5× 66 0.5× 49 0.6× 78 1.0× 50 0.7× 41 736
Marco Raffaele Italy 19 398 1.7× 72 0.5× 45 0.6× 209 2.6× 54 0.7× 37 824
Naomi Yasui Japan 15 165 0.7× 71 0.5× 105 1.3× 126 1.6× 29 0.4× 30 557

Countries citing papers authored by Tingting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Wu. A scholar is included among the top collaborators of Tingting Wu 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 Wu. Tingting Wu 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.
2.
Zhang, Songyue, Yidong Zhang, Hao Li, et al.. (2025). Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus. Frontiers in Pediatrics. 13. 1519002–1519002.
3.
Du, Shuang, et al.. (2025). Absolute Optical Encoder Chip With Self-Reference Compensation. IEEE Sensors Journal. 25(4). 6261–6268.
4.
Zhang, Yidong, Nuo Chen, Qiaoyu Wang, et al.. (2024). Global, regional, and national burden of myocarditis in children aged 0–14 years, 1990–2021: analysis for the global burden of disease study 2021. Frontiers in Public Health. 12. 1504586–1504586. 2 indexed citations
5.
Wu, Tingting, et al.. (2022). Docosahexaenoic Acid‐Enhanced Autophagic Flux Improves Cardiac Dysfunction after Myocardial Infarction by Targeting the AMPK/mTOR Signaling Pathway. Oxidative Medicine and Cellular Longevity. 2022(1). 1509421–1509421. 13 indexed citations
6.
Dong, Qianqian, Xuliang Wang, Yu Fu, et al.. (2022). Palmitic Acid, A Critical Metabolite, Aggravates Cellular Senescence Through Reactive Oxygen Species Generation in Kawasaki Disease. Frontiers in Pharmacology. 13. 809157–809157. 14 indexed citations
7.
Zhan, Yi, Jiahui Jin, Tingting Wu, et al.. (2021). Individualized Experience With Percutaneous Transcatheter Closure of Multiple Atrial Septal Defects: A Single-Center Study. Frontiers in Cardiovascular Medicine. 8. 628322–628322. 1 indexed citations
8.
Wang, Jiajun, et al.. (2021). STAT3 Suppresses Cardiomyocytes Apoptosis in CVB3-Induced Myocarditis Via Survivin. Frontiers in Pharmacology. 11. 613883–613883. 7 indexed citations
9.
Hirschberger, Simon, Gabriele Strauß, David Effinger, et al.. (2021). Very‐low‐carbohydrate diet enhances human T‐cell immunity through immunometabolic reprogramming. EMBO Molecular Medicine. 13(8). e14323–e14323. 64 indexed citations
10.
Shi, Chen, Tingting Wu, Jin-Ping Li, et al.. (2020). Comprehensive Landscape of Heparin Therapy for COVID-19. Carbohydrate Polymers. 254. 117232–117232. 39 indexed citations
11.
Wang, Zhenquan, Qiaoyu Wang, Jiahui Jin, et al.. (2020). The diagnostic role of AIM2 in Kawasaki disease. Clinical and Experimental Medicine. 21(1). 41–47. 5 indexed citations
12.
Li, Hao, Songyue Zhang, Xing Rong, et al.. (2019). Short- and medium-term follow-up of transcatheter closure of perimembranous ventricular septal defects. BMC Cardiovascular Disorders. 19(1). 222–222. 21 indexed citations
13.
Wang, Xuliang, Ping Li, Songyue Zhang, et al.. (2019). Piceatannol alleviates inflammation and oxidative stress via modulation of the Nrf2/HO-1 and NF-κB pathways in diabetic cardiomyopathy. Chemico-Biological Interactions. 310. 108754–108754. 74 indexed citations
14.
Gu, Xiaohong, Lulu Pan, Chunxiang Zhang, et al.. (2018). Melatonin Ameliorates Coxsackievirus B3-Induced Myocarditis by Regulating Apoptosis and Autophagy. Frontiers in Pharmacology. 9. 1384–1384. 19 indexed citations
15.
Wu, Tingting, Ping Li, Xuliang Wang, et al.. (2017). The Optimal Intervention Time of Bone Marrow Mesenchymal Stem Cells in Ameliorating Cardiac Fibrosis Induced by Viral Myocarditis: A Randomized Controlled Trial in Mice. Stem Cells International. 2017. 1–9. 6 indexed citations
17.
Hu, Wenxiu, Gang Liu, Weiguo Zhang, & Tingting Wu. (2016). Study on random trading behavior, herd behavior and asset price volatility. 3157–3163. 2 indexed citations
18.
Wu, Tingting, Zhe Dong, Jing Geng, et al.. (2011). Valsartan protects against ER stress-induced myocardial apoptosis via CHOP/Puma signaling pathway in streptozotocin-induced diabetic rats. European Journal of Pharmaceutical Sciences. 42(5). 496–502. 65 indexed citations
19.
Wu, Tingting, et al.. (2011). In vitro studies of Gynura divaricata (L.) DC extracts as inhibitors of key enzymes relevant for type 2 diabetes and hypertension. Journal of Ethnopharmacology. 136(2). 305–308. 31 indexed citations
20.
Ma, Bingji, Jinwen Shen, Yuan Ruan, et al.. (2010). Cytotoxic aromatic compounds from Hericium erinaceum. The Journal of Antibiotics. 63(12). 713–715. 27 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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