Xuming Mao

3.5k total citations · 3 hit papers
50 papers, 2.6k citations indexed

About

Xuming Mao is a scholar working on Pathology and Forensic Medicine, Rheumatology and Genetics. According to data from OpenAlex, Xuming Mao has authored 50 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pathology and Forensic Medicine, 19 papers in Rheumatology and 17 papers in Genetics. Recurrent topics in Xuming Mao's work include Autoimmune Bullous Skin Diseases (27 papers), Urticaria and Related Conditions (18 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (17 papers). Xuming Mao is often cited by papers focused on Autoimmune Bullous Skin Diseases (27 papers), Urticaria and Related Conditions (18 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (17 papers). Xuming Mao collaborates with scholars based in United States, China and Germany. Xuming Mao's co-authors include Aimee Payne, Lily Dong, Feng Liu, Eun Jung Choi, Lixin Wang, Christoph T. Ellebrecht, Qichen Fang, Chintan K. Kikani, Fresnida J. Ramos and Michael C. Milone and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Xuming Mao

47 papers receiving 2.6k citations

Hit Papers

APPL1 binds to adiponectin receptors and mediates adipone... 2006 2026 2012 2019 2006 2016 2023 100 200 300 400 500

Peers

Xuming Mao
Xuming Mao
Citations per year, relative to Xuming Mao Xuming Mao (= 1×) peers Akira Suwa

Countries citing papers authored by Xuming Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xuming Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuming Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuming Mao. A scholar is included among the top collaborators of Xuming Mao 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 Xuming Mao. Xuming Mao 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.
Wang, Baomei, Xuming Mao, Sílvio M. Vieira, et al.. (2025). Preclinical evaluation of antigen-specific B-cell depletion for phospholipase A2 receptor membranous nephropathy with chimeric autoantibody receptor T cells. Kidney International. 109(1). 89–100. 1 indexed citations
2.
Zhang, Jingyi, Xuming Mao, Bisheng Huang, et al.. (2025). Establishment of high-efficiency hairy root and genetic transformation system in Cynanchum stauntonii. Journal of Biotechnology. 402. 21–29. 1 indexed citations
3.
Lian, Yanqing, Qingyun Duan, Zhu Liu, et al.. (2024). Coupled hydrologic and hydraulic modeling for a lowland river basin in China. Journal of Hydrology. 649. 132470–132470. 2 indexed citations
4.
Oh, Sangwook, Xuming Mao, Sílvio M. Vieira, et al.. (2023). Precision targeting of autoantigen-specific B cells in muscle-specific tyrosine kinase myasthenia gravis with chimeric autoantibody receptor T cells. Nature Biotechnology. 41(9). 1229–1238. 107 indexed citations breakdown →
5.
Mao, Xuming, et al.. (2022). IL-13 Genetic Susceptibility to Bullous Pemphigoid: A Potential Target for Treatment and a Prognostic Marker. Frontiers in Immunology. 13. 824110–824110. 11 indexed citations
6.
Fang, Rouyu, et al.. (2022). Photodynamic therapy in the treatment of rosacea: A systematic review. Photodiagnosis and Photodynamic Therapy. 38. 102875–102875. 14 indexed citations
7.
Wang, Yanan, Christoph M. Hammers, Xuming Mao, et al.. (2021). Analysis of the autoimmune response against BP180 in patients with Alzheimer’s disease. Annals of Translational Medicine. 9(2). 107–107. 9 indexed citations
8.
Zhao, Wenling, Xuming Mao, Aimee Payne, et al.. (2020). Detection of underlying dementia in bullous pemphigoid patients using cognitive evaluation tests: a multicenter case-control study. Annals of Translational Medicine. 8(21). 1397–1397. 7 indexed citations
9.
Choi, Yeon Ja, Christine Laclef, Joshua E. Lewis, et al.. (2019). RPGRIP1L is required for stabilizing epidermal keratinocyte adhesion through regulating desmoglein endocytosis. PLoS Genetics. 15(1). e1007914–e1007914. 8 indexed citations
10.
Sun, Yingjie, Xuming Mao, Hang Zheng, et al.. (2018). Goose MAVS functions in RIG-I-mediated IFN-β signaling activation. Developmental & Comparative Immunology. 93. 58–65. 15 indexed citations
11.
Ellebrecht, Christoph T., et al.. (2018). 461 Preclinical development of desmoglein chimeric autoantibody receptor (CAAR) T cells for pemphigus therapy. Journal of Investigative Dermatology. 138(5). S78–S78. 1 indexed citations
12.
Ellebrecht, Christoph T., Vijay Bhoj, Arben Nace, et al.. (2016). Reengineering chimeric antigen receptor T cells for targeted therapy of autoimmune disease. Science. 353(6295). 179–184. 512 indexed citations breakdown →
13.
Lo, Agnes S., Xuming Mao, Eric Mukherjee, et al.. (2016). Pathogenicity and Epitope Characteristics Do Not Differ in IgG Subclass-Switched Anti-Desmoglein 3 IgG1 and IgG4 Autoantibodies in Pemphigus Vulgaris. PLoS ONE. 11(6). e0156800–e0156800. 19 indexed citations
14.
Cho, Michael Jeffrey, Agnes S. Lo, Xuming Mao, et al.. (2014). Shared VH1-46 gene usage by pemphigus vulgaris autoantibodies indicates common humoral immune responses among patients. Nature Communications. 5(1). 4167–4167. 43 indexed citations
15.
Mao, Xuming, Arielle R. Nagler, Eun Jung Choi, et al.. (2010). Autoimmunity to Desmocollin 3 in Pemphigus Vulgaris. American Journal Of Pathology. 177(6). 2724–2730. 63 indexed citations
16.
Zhou, Lijun, Sathyaseelan S. Deepa, Jiyoon Ryu, et al.. (2009). Adiponectin Activates AMP-activated Protein Kinase in Muscle Cells via APPL1/LKB1-dependent and Phospholipase C/Ca2+/Ca2+/Calmodulin-dependent Protein Kinase Kinase-dependent Pathways. Journal of Biological Chemistry. 284(33). 22426–22435. 178 indexed citations
17.
Mao, Xuming, Eun Jung Choi, & Aimee Payne. (2008). Disruption of Desmosome Assembly by Monovalent Human Pemphigus Vulgaris Monoclonal Antibodies. Journal of Investigative Dermatology. 129(4). 908–918. 56 indexed citations
18.
Wang, Changhua, Xuming Mao, Lixin Wang, et al.. (2007). Adiponectin Sensitizes Insulin Signaling by Reducing p70 S6 Kinase-mediated Serine Phosphorylation of IRS-1. Journal of Biological Chemistry. 282(11). 7991–7996. 174 indexed citations
19.
Li, Jiang, Xuming Mao, Lily Dong, Feng Liu, & Liang Tong. (2007). Crystal Structures of the BAR-PH and PTB Domains of Human APPL1. Structure. 15(5). 525–533. 55 indexed citations
20.
Mao, Xuming, Chintan K. Kikani, Ramon Riojas, et al.. (2006). APPL1 binds to adiponectin receptors and mediates adiponectin signalling and function. Nature Cell Biology. 8(5). 516–523. 550 indexed citations breakdown →

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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