Damo Xu
- Immunology top 0.5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Physiology top 2%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Foo Y. LiewLuke O'neillElizabeth BrintMousa Komai‐KomaXiaoqing WeiGui-Jie FengHaiying LiuWerner Müller
- Topics
- Immune Cell Function and Interaction (13 papers)Research on Leishmaniasis Studies (12 papers)Immune Response and Inflammation (10 papers)
- Cited by
- ImmunologyParasitologyPhysiology
- Partner nations
- United KingdomUnited StatesUnited Arab Emirates
In The Last Decade
Damo Xu
35 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology 3.9k
- Molecular Biology 1.1k
- Epidemiology 977
- Physiology 968
- Public Health, Environmental and Occupational Health 778
Countries citing papers authored by Damo Xu
This map shows the geographic impact of Damo Xu'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 Damo Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damo Xu more than expected).
Fields of papers citing papers by Damo Xu
This network shows the impact of papers produced by Damo Xu. 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 Damo Xu. The network helps show where Damo Xu may publish in the future.
Co-authorship network of co-authors of Damo Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Damo Xu. A scholar is included among the top collaborators of Damo Xu 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 Damo Xu. Damo Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 156 | |
| 2 | 12 | |
| 3 | 139 | |
| 4 | 144 | |
| 5 | 54 | |
| 6 | Negative regulation of Toll-like receptor-mediated immune responsesbreakdown → | 1247 |
| 7 | 408 | |
| 8 | 40 | |
| 9 | 409 | |
| 10 | 27 | |
| 11 | 243 | |
| 12 | 87 | |
| 13 | 149 | |
| 14 | 138 | |
| 15 | 32 | |
| 16 | 37 | |
| 17 | 76 | |
| 18 | 128 | |
| 19 | Mice defective in Fas are highly susceptible to Leishmania major infection despite elevated IL-12 synthesis, strong Th1 responses, and enhanced nitric oxide production. | 77 |
| 20 | Altered immune responses in mice lacking inducible nitric oxide synthasebreakdown → | 1091 |
About Damo Xu
Damo Xu is a scholar working on Immunology, Parasitology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 6.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Research on Leishmaniasis Studies (12 papers) and Immune Response and Inflammation (10 papers). The work is most often cited by research in Immunology (3.9k citations), Parasitology (300 citations) and Physiology (968 citations). Damo Xu has collaborated with scholars based in United Kingdom, United States and United Arab Emirates. Frequent co-authors include Foo Y. Liew, Luke O'neill, Elizabeth Brint, Mousa Komai‐Koma, Xiaoqing Wei, Gui-Jie Feng, Haiying Liu, Werner Müller, Salvador Moncada and Austin Smith. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.