Xiaoping Wu

1.8k total citations
41 papers, 1.2k citations indexed

About

Xiaoping Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Xiaoping Wu has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Physiology. Recurrent topics in Xiaoping Wu's work include Neuroscience and Neuropharmacology Research (7 papers), Tuberous Sclerosis Complex Research (4 papers) and Ion channel regulation and function (4 papers). Xiaoping Wu is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Tuberous Sclerosis Complex Research (4 papers) and Ion channel regulation and function (4 papers). Xiaoping Wu collaborates with scholars based in United States, China and Canada. Xiaoping Wu's co-authors include Guy M. McKhann, Alexander A. Sosunov, James E. Goldman, Charles B. Mikell, Lan Guo, Heng Du, Shirley ShiDu Yan, John Xi Chen, Nadejda M. Tsankova and Robert Goodman and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoping Wu

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Wu United States 21 644 285 244 182 178 41 1.2k
Christoph G. Goemans United Kingdom 10 530 0.8× 178 0.6× 202 0.8× 103 0.6× 197 1.1× 10 1.5k
Maria Maryanovich United States 11 755 1.2× 173 0.6× 226 0.9× 138 0.8× 216 1.2× 31 1.7k
Margitta Elvers Germany 27 689 1.1× 337 1.2× 135 0.6× 233 1.3× 224 1.3× 67 2.4k
Zhongji Liao United States 14 656 1.0× 232 0.8× 157 0.6× 112 0.6× 101 0.6× 21 1.6k
Maria Teresa Cencioni Italy 22 469 0.7× 193 0.7× 265 1.1× 307 1.7× 221 1.2× 32 1.5k
Koji Osuka Japan 20 309 0.5× 222 0.8× 268 1.1× 208 1.1× 81 0.5× 79 1.5k
Ewa Matyja Poland 24 614 1.0× 187 0.7× 285 1.2× 124 0.7× 135 0.8× 127 1.9k
Ted M. Dawson United States 7 669 1.0× 185 0.6× 229 0.9× 169 0.9× 462 2.6× 7 1.3k
Elisa Dominguez France 13 531 0.8× 284 1.0× 187 0.8× 322 1.8× 77 0.4× 14 1.4k
Lisa Smithson United States 14 553 0.9× 553 1.9× 147 0.6× 144 0.8× 86 0.5× 16 1.4k

Countries citing papers authored by Xiaoping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Wu. A scholar is included among the top collaborators of Xiaoping 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 Xiaoping Wu. Xiaoping 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.
Yang, Yanping, Xiaoyan Liu, Qiang Luo, et al.. (2024). Mesenchymal stem cell-derived extracellular vesicles mitigate neuronal damage from intracerebral hemorrhage by modulating ferroptosis. Stem Cell Research & Therapy. 15(1). 255–255. 9 indexed citations
3.
Gill, Brian, Alexander Goldberg, Edward M. Merricks, et al.. (2022). Single unit analysis and wide-field imaging reveal alterations in excitatory and inhibitory neurons in glioma. Brain. 145(10). 3666–3680. 10 indexed citations
4.
Wu, Xiaoping, Peng Wu, & Zihan Guo. (2021). The correlations of transportation with regional economy and demographic space. Journal of Intelligent & Fuzzy Systems. 41(4). 4813–4823. 2 indexed citations
5.
Sosunov, Alexander A., Xiaoping Wu, Robert A. McGovern, et al.. (2020). Abnormal mitosis in reactive astrocytes. Acta Neuropathologica Communications. 8(1). 47–47. 11 indexed citations
6.
Gill, Brian, Xiaoping Wu, Alexander A. Sosunov, et al.. (2019). Ex vivo multi-electrode analysis reveals spatiotemporal dynamics of ictal behavior at the infiltrated margin of glioma. Neurobiology of Disease. 134. 104676–104676. 11 indexed citations
7.
Han, Cha, Chenyu Wang, Yuanyuan Chen, et al.. (2019). Placenta-derived extracellular vesicles induce preeclampsia in mouse models. Haematologica. 105(6). 1686–1694. 74 indexed citations
8.
Wang, Hong, Yanping Yang, Andrew Wang, et al.. (2018). Clinical study on hematoma puncture and catheter drainage in treatment of intracerebral hemorrhage under CT real-time guide. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Sosunov, Alexander A., et al.. (2014). Phenotypic Heterogeneity and Plasticity of Isocortical and Hippocampal Astrocytes in the Human Brain. Journal of Neuroscience. 34(6). 2285–2298. 130 indexed citations
10.
Guo, Lan, Heng Du, Shiqiang Yan, et al.. (2013). Cyclophilin D Deficiency Rescues Axonal Mitochondrial Transport in Alzheimer’s Neurons. PLoS ONE. 8(1). e54914–e54914. 104 indexed citations
11.
Du, Heng, Lan Guo, Xiaoping Wu, et al.. (2013). Cyclophilin D deficiency rescues Aβ-impaired PKA/CREB signaling and alleviates synaptic degeneration. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(12). 2517–2527. 74 indexed citations
12.
Wu, Xiaoping, Neena Kushwaha, Probal Banerjee, Paul R. Albert, & Nicholas J. Penington. (2013). Role of protein kinase C in agonist-induced desensitization of 5-HT1A receptor coupling to calcium channels in F11 cells. European Journal of Pharmacology. 706(1-3). 84–91. 2 indexed citations
13.
Sosunov, Alexander A., et al.. (2013). Phenotypic Conversions of “Protoplasmic” to “Reactive” Astrocytes in Alexander Disease. Journal of Neuroscience. 33(17). 7439–7450. 66 indexed citations
14.
Sosunov, Alexander A., Xiaoping Wu, Robert A. McGovern, et al.. (2012). The mTOR pathway is activated in glial cells in mesial temporal sclerosis. Epilepsia. 53(s1). 78–86. 58 indexed citations
15.
Yan, Xiaohua, Junyu Zhang, Qinyu Sun, et al.. (2012). p21-activated Kinase 2 (PAK2) Inhibits TGF-β Signaling in Madin-Darby Canine Kidney (MDCK) Epithelial Cells by Interfering with the Receptor-Smad Interaction. Journal of Biological Chemistry. 287(17). 13705–13712. 26 indexed citations
16.
Wang, Wenjing, Diana M. Gilligan, Sijie Sun, Xiaoping Wu, & Jo-Anna Reems. (2011). Distinct Functional Effects for Dynamin 3 During Megakaryocytopoiesis. Stem Cells and Development. 20(12). 2139–2151. 20 indexed citations
17.
Chai, Jin, Donglin Luo, Xiaoping Wu, et al.. (2011). Changes of Organic Anion Transporter MRP4 and Related Nuclear Receptors in Human Obstructive Cholestasis. Journal of Gastrointestinal Surgery. 15(6). 996–1004. 38 indexed citations
18.
19.
Wu, Xiaoping, Jing Ma, Jing‐Dong J. Han, Nanping Wang, & Ye‐Guang Chen. (2006). Distinct regulation of gene expression in human endothelial cells by TGF-β and its receptors. Microvascular Research. 71(1). 12–19. 59 indexed citations
20.
Lu, Zhongxian, James T. Murray, Wenjie Luo, et al.. (2002). Transforming Growth Factor β Activates Smad2 in the Absence of Receptor Endocytosis. Journal of Biological Chemistry. 277(33). 29363–29368. 74 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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