Dongcheng Wu

2.7k total citations · 1 hit paper
55 papers, 2.2k citations indexed

About

Dongcheng Wu is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Dongcheng Wu has authored 55 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Genetics and 8 papers in Oncology. Recurrent topics in Dongcheng Wu's work include Mesenchymal stem cell research (13 papers), Cancer-related Molecular Pathways (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Dongcheng Wu is often cited by papers focused on Mesenchymal stem cell research (13 papers), Cancer-related Molecular Pathways (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Dongcheng Wu collaborates with scholars based in China, Canada and United States. Dongcheng Wu's co-authors include Alistair J. Ingram, Joan C. Krepinsky, Damu Tang, Lieqi Liu, Fang-Fang Peng, Baifang Zhang, Changyong Li, Bo Gao, Vincent J. Kidd and Jill M. Lahti and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Oncogene.

In The Last Decade

Dongcheng Wu

55 papers receiving 2.1k citations

Hit Papers

Human umbilical cord-derived mesenchymal stem cells preve... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongcheng Wu China 27 1.2k 391 314 307 293 55 2.2k
Hao Ding China 27 1.6k 1.3× 325 0.8× 142 0.5× 261 0.9× 392 1.3× 113 2.8k
Daisuke Ogawa Japan 23 1.3k 1.1× 228 0.6× 135 0.4× 357 1.2× 157 0.5× 59 2.4k
Anita Eckly France 37 865 0.7× 379 1.0× 112 0.4× 406 1.3× 182 0.6× 92 3.8k
Nour-Eddine Rhaleb United States 32 888 0.7× 332 0.8× 112 0.4× 323 1.1× 371 1.3× 43 2.7k
Yoshikazu Nakaoka Japan 26 1.1k 0.9× 105 0.3× 149 0.5× 305 1.0× 462 1.6× 76 2.5k
Anargyros Xenocostas Canada 26 797 0.7× 609 1.6× 97 0.3× 227 0.7× 365 1.2× 109 2.4k
Zhousheng Xiao United States 35 1.9k 1.5× 203 0.5× 990 3.2× 227 0.7× 627 2.1× 69 3.4k
Takashi Omura Japan 26 881 0.7× 253 0.6× 126 0.4× 459 1.5× 153 0.5× 82 2.2k
Oleg Tarnavski United States 14 2.3k 1.9× 148 0.4× 141 0.4× 715 2.3× 413 1.4× 14 4.1k
Yujiro Kida Japan 19 671 0.5× 121 0.3× 243 0.8× 174 0.6× 159 0.5× 30 1.4k

Countries citing papers authored by Dongcheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dongcheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongcheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dongcheng Wu. A scholar is included among the top collaborators of Dongcheng 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 Dongcheng Wu. Dongcheng 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.
Yan, Wenjie, et al.. (2025). Contact enhancement effect: Extending the duration of contact state to enhance the output of contact-separation triboelectric nanogenerators. Materials Today Communications. 43. 111686–111686. 2 indexed citations
2.
Wu, Dongcheng, Wenjie Yan, Xin Zhang, et al.. (2025). In-situ photocatalysis enabled preparation of high-performance flexible inductive electrodes in triboelectric nanogenerators. Chemical Engineering Journal. 521. 166526–166526. 1 indexed citations
3.
Zhu, Yue, et al.. (2025). Oral Prednisolone, Apremilast and Human Umbilical Cord Mesenchymal Stem Cells in the Management of Pemphigus Foliaceus. Journal of Inflammation Research. Volume 18. 5011–5015. 1 indexed citations
4.
He, Jing, Chengshu Tu, Yaqi Zhang, et al.. (2024). A highly sensitive and specific Homo1‐based real‐time qPCR method for quantification of human umbilical cord mesenchymal stem cells in rats. Biotechnology Journal. 19(2). e2300484–e2300484. 1 indexed citations
6.
7.
Zheng, Shuo, Kelly Zhang, Yaqi Zhang, et al.. (2023). Human Umbilical Cord Mesenchymal Stem Cells Inhibit Pyroptosis of Renal Tubular Epithelial Cells through miR-342-3p/Caspase1 Signaling Pathway in Diabetic Nephropathy. Stem Cells International. 2023. 1–12. 28 indexed citations
9.
Chen, Lian, E Xiang, Changyong Li, et al.. (2020). Umbilical Cord-Derived Mesenchymal Stem Cells Ameliorate Nephrocyte Injury and Proteinuria in a Diabetic Nephropathy Rat Model. Journal of Diabetes Research. 2020. 1–9. 26 indexed citations
10.
Tong, Wei, Xiaoguang Zhang, Quan Zhang, et al.. (2020). Multiple umbilical cord–derived MSCs administrations attenuate rat osteoarthritis progression via preserving articular cartilage superficial layer cells and inhibiting synovitis. Journal of Orthopaedic Translation. 23. 21–28. 33 indexed citations
11.
Zhu, Ling, Xiaoyu Liu, Daniel P. Nemeth, et al.. (2019). Interleukin-1 causes CNS inflammatory cytokine expression via endothelia-microglia bi-cellular signaling. Brain Behavior and Immunity. 81. 292–304. 37 indexed citations
12.
Yao, Weiqi, et al.. (2015). Human adipose-derived mesenchymal stem cells repair cisplatin-induced acute kidney injury through antiapoptotic pathways. Experimental and Therapeutic Medicine. 10(2). 468–476. 32 indexed citations
13.
Wu, Dongcheng, et al.. (2013). Bone marrow-derived mesenchymal stem cells protect against cisplatin-induced acute kidney injury in rats by inhibiting cell apoptosis. International Journal of Molecular Medicine. 32(6). 1262–1272. 92 indexed citations
14.
Wu, Dongcheng, Fei Peng, Alistair J. Ingram, et al.. (2009). EGFR-PLCγ1 signaling mediates high glucose-induced PKCβ1-Akt activation and collagen I upregulation in mesangial cells. American Journal of Physiology-Renal Physiology. 297(3). F822–F834. 27 indexed citations
15.
Wu, Dongcheng, Fang-Fang Peng, Baifang Zhang, et al.. (2009). PKC-β1 Mediates Glucose-Induced Akt Activation and TGF-β1 Upregulation in Mesangial Cells. Journal of the American Society of Nephrology. 20(3). 554–566. 99 indexed citations
16.
Wu, Dongcheng. (2008). PC12 Cells Neuron Differentiation Induced by NGF. 1 indexed citations
17.
Krepinsky, Joan C., Yanxia Li, Lieqi Liu, et al.. (2005). Akt Mediates Mechanical Strain-Induced Collagen Production by Mesangial Cells. Journal of the American Society of Nephrology. 16(6). 1661–1672. 42 indexed citations
18.
Li, Yanxia, Dongcheng Wu, Biao Chen, et al.. (2004). ATM activity contributes to the tumor-suppressing functions of p14ARF. Oncogene. 23(44). 7355–7365. 32 indexed citations
19.
Krepinsky, Joan C., Alistair J. Ingram, Damu Tang, et al.. (2003). Nitric Oxide Inhibits Stretch-Induced MAPK Activation in Mesangial Cells Through RhoA Inactivation. Journal of the American Society of Nephrology. 14(11). 2790–2800. 70 indexed citations
20.
Krepinsky, Joan C., Dongcheng Wu, Alistair J. Ingram, James W. Scholey, & Damu Tang. (2002). Developments in mitogen-induced extracellular kinase 1 inhibitors and their use in the treatment of disease. Expert Opinion on Therapeutic Patents. 12(12). 1795–1811. 8 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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