Kai Wu

1.1k total citations
40 papers, 902 citations indexed

About

Kai Wu is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Kai Wu has authored 40 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 16 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Kai Wu's work include Tissue Engineering and Regenerative Medicine (16 papers), Mesenchymal stem cell research (13 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). Kai Wu is often cited by papers focused on Tissue Engineering and Regenerative Medicine (16 papers), Mesenchymal stem cell research (13 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). Kai Wu collaborates with scholars based in China, United States and Canada. Kai Wu's co-authors include Bin Zhou, Zhongchao Han, Shi Hong Lu, Shao Guang Yang, Wei Du, Xiaowei Wang, Bin Feng, Bin Cui, Chao‐Ke Tang and Xi‐Long Zheng and has published in prestigious journals such as Scientific Reports, The Annals of Thoracic Surgery and Environmental Science and Pollution Research.

In The Last Decade

Kai Wu

39 papers receiving 880 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Wu China 17 414 365 283 175 116 40 902
Zhuo Sun Canada 12 367 0.9× 427 1.2× 412 1.5× 184 1.1× 121 1.0× 21 959
Fei Zheng China 17 391 0.9× 321 0.9× 319 1.1× 189 1.1× 74 0.6× 40 951
Bryce H. Davis United States 11 531 1.3× 359 1.0× 234 0.8× 184 1.1× 141 1.2× 15 967
Kento Tateishi Japan 12 452 1.1× 383 1.0× 207 0.7× 174 1.0× 81 0.7× 12 817
Yong-Zhang Huang China 11 389 0.9× 319 0.9× 307 1.1× 196 1.1× 56 0.5× 25 806
Yuelin Zhang China 10 456 1.1× 313 0.9× 412 1.5× 115 0.7× 97 0.8× 15 819
Natalia Rozwadowska Poland 21 780 1.9× 540 1.5× 327 1.2× 261 1.5× 145 1.3× 78 1.5k
Chuhong Zhu China 20 335 0.8× 328 0.9× 143 0.5× 347 2.0× 216 1.9× 54 1.1k
Khawaja Husnain Haider Saudi Arabia 20 563 1.4× 272 0.7× 191 0.7× 124 0.7× 55 0.5× 55 941
Linyun Guo China 11 327 0.8× 320 0.9× 306 1.1× 189 1.1× 50 0.4× 13 735

Countries citing papers authored by Kai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Wu. A scholar is included among the top collaborators of Kai 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 Kai Wu. Kai 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
2.
Zhang, Qi, et al.. (2021). Association between blood ethylene oxide levels and the risk of cardiovascular diseases in the general population. Environmental Science and Pollution Research. 28(45). 64921–64928. 27 indexed citations
3.
Li, Xiaopei, Kai-Yun Qu, Feng Zhang, et al.. (2020). High-aspect-ratio water-dispersed gold nanowires incorporated within gelatin methacrylate hydrogels for constructing cardiac tissuesin vitro. Journal of Materials Chemistry B. 8(32). 7213–7224. 35 indexed citations
4.
Wu, Kai, et al.. (2019). Ku86 alleviates human umbilical vein endothelial cellular apoptosis and senescence induced by a low dose of ionizing radiation. Journal of International Medical Research. 47(2). 893–904. 7 indexed citations
5.
Zhang, Jing, Kai Wu, Ting Xu, et al.. (2019). <p>Epigallocatechin-3-gallate enhances the osteoblastogenic differentiation of human adipose-derived stem cells</p>. Drug Design Development and Therapy. Volume 13. 1311–1321. 18 indexed citations
6.
Wu, Kai, et al.. (2018). Efficient generation of functional cardiomyocytes from human umbilical cord-derived virus-free induced pluripotent stem cells. Cell and Tissue Research. 374(2). 275–283. 5 indexed citations
7.
Wu, Kai, Yang Yu, Jiali Xu, et al.. (2017). MicroRNA-34a modulates the Notch signaling pathway in mice with congenital heart disease and its role in heart development. Journal of Molecular and Cellular Cardiology. 114. 300–308. 25 indexed citations
8.
Zhu, Jianping, Kai Wu, Jinyou Li, et al.. (2015). Cryptoporus volvatuspolysaccharides attenuate LPS-induced expression of pro-inflammatory factors via the TLR2 signaling pathway in human alveolar epithelial cells. Pharmaceutical Biology. 54(2). 347–353. 10 indexed citations
9.
Hu, Guansong, et al.. (2014). Surfactant-directed synthesis of silver nanorods and characteristic spectral changes occurred by their morphology evolution. Physica E Low-dimensional Systems and Nanostructures. 64. 211–217. 16 indexed citations
10.
Qian, Bo, et al.. (2014). Isolation, Characterization and Cardiac Differentiation of Human Thymus Tissue Derived Mesenchymal Stromal Cells. Journal of Cellular Biochemistry. 116(7). 1205–1212. 3 indexed citations
11.
Yu, Xiaohua, Kai Wu, Xi‐Long Zheng, et al.. (2014). Hydrogen sulfide as a potent cardiovascular protective agent. Clinica Chimica Acta. 437. 78–87. 61 indexed citations
12.
Cheng, Liu–Fang, et al.. (2014). Application of dsRNA in Cancer Immunotherapy: Current Status and Future Trends. Anti-Cancer Agents in Medicinal Chemistry. 14(2). 241–255. 5 indexed citations
13.
Zhou, Bin, Leah Honor, Qing Ma, et al.. (2011). Thymosin beta 4 treatment after myocardial infarction does not reprogram epicardial cells into cardiomyocytes. Journal of Molecular and Cellular Cardiology. 52(1). 43–47. 98 indexed citations
14.
Wu, Kai, et al.. (2011). Cardiac cell therapy: pre-conditioning effects in cell-delivery strategies. Cytotherapy. 14(3). 260–266. 5 indexed citations
15.
Wu, Kai, et al.. (2009). Cardiac potential of stem cells from whole human umbilical cord tissue. Journal of Cellular Biochemistry. 107(5). 926–932. 34 indexed citations
16.
Wu, Kai, et al.. (2008). Clinical analysis and surgical results of cardiac myxoma in pediatric patients. Journal of Surgical Oncology. 99(1). 48–50. 12 indexed citations
17.
Wu, Kai, et al.. (2008). Cell sheet engineering for the injured heart. Medical Hypotheses. 71(5). 700–702. 11 indexed citations
18.
Zhou, Bin, Kai Wu, Man‐Chiu Poon, & Zhongchao Han. (2006). Endothelial progenitor cells transfected with PDGF: Cellular and molecular targets for prevention of diabetic microangiopathy. Medical Hypotheses. 67(6). 1308–1312. 6 indexed citations
19.
Wu, Kai, et al.. (2006). Human umbilical cord derived stem cells for the injured heart. Medical Hypotheses. 68(1). 94–97. 13 indexed citations
20.
Wu, Kai, Bin Zhou, Shi Hong Lu, et al.. (2006). In vitro and in vivo differentiation of human umbilical cord derived stem cells into endothelial cells. Journal of Cellular Biochemistry. 100(3). 608–616. 146 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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