Xuming Mao
- Epidemiology top 5%
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Physiology top 5%
- Immunology top 5%
- Co-authors
- Aimee PayneLily DongFeng LiuEun Jung ChoiLixin WangChristoph T. EllebrechtQichen FangChintan K. Kikani
- Topics
- Autoimmune Bullous Skin Diseases (27 papers)Urticaria and Related Conditions (18 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (17 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xuming Mao
47 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Epidemiology 831
- Pathology and Forensic Medicine 661
- Molecular Biology 659
- Physiology 608
- Immunology 521
Countries citing papers authored by Xuming Mao
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Precision targeting of autoantigen-specific B cells in muscle-specific tyrosine kinase myasthenia gravis with chimeric autoantibody receptor T cellsbreakdown → | 107 |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | Reengineering chimeric antigen receptor T cells for targeted therapy of autoimmune diseasebreakdown → | 512 |
| 13 | 19 | |
| 14 | 43 | |
| 15 | 63 | |
| 16 | 178 | |
| 17 | 56 | |
| 18 | 174 | |
| 19 | 55 | |
| 20 | APPL1 binds to adiponectin receptors and mediates adiponectin signalling and functionbreakdown → | 550 |
About Xuming Mao
Xuming Mao is a scholar working on Genetics, Pathology and Forensic Medicine and Rheumatology, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (27 papers), Urticaria and Related Conditions (18 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (17 papers). The work is most often cited by research in Genetics (478 citations), Pathology and Forensic Medicine (661 citations) and Rheumatology (453 citations). Xuming Mao has collaborated with scholars based in United States, China and Germany. Frequent 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. Their work appears in journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.