Xiaodi Wu
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Phagocytosis and Immune Regulation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 15
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 9
- Immune Cell Function and Interaction 6
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- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- Co-authors
- Kenneth M. Murphy (13 shared papers)Nicole M. Kretzer (8 shared papers)Carlos G. Briseño (9 shared papers)Jörn C. Albring (5 shared papers)Gary E. Grajales‐Reyes (7 shared papers)Ansuman T. Satpathy (4 shared papers)Arifumi Iwata (6 shared papers)Theresa L. Murphy (7 shared papers)
- Journals
- Nature Immunology (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)The Journal of Experimental Medicine (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaodi Wu
37 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 109
- Immunology 1.8k
- Oncology 370
- Immunology and Allergy 70
- Neurology 93
- Hematology 114
Countries citing papers authored by Xiaodi Wu
This map shows the geographic impact of Xiaodi 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 Xiaodi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodi Wu more than expected).
Fields of papers citing papers by Xiaodi Wu
This network shows the impact of papers produced by Xiaodi 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 Xiaodi Wu. The network helps show where Xiaodi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodi Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 346 | |
| 2 | 2012 | 327 | |
| 3 | 2014 | 318 | |
| 4 | 2015 | 309 | |
| 5 | 2015 | 269 | |
| 6 | 2016 | 152 | |
| 7 | 2016 | 93 | |
| 8 | 2017 | 88 | |
| 9 | 2022 | 70 | |
| 10 | 2022 | 69 | |
| 11 | 2016 | 64 | |
| 12 | 2016 | 63 | |
| 13 | 2014 | 62 | |
| 14 | 2013 | 46 | |
| 15 | 2005 | 38 | |
| 16 | 2022 | 36 | |
| 17 | 2022 | 35 | |
| 18 | 2022 | 34 | |
| 19 | 2020 | 25 | |
| 20 | 2021 | 21 |
About Xiaodi Wu
Xiaodi Wu is a scholar working on Immunology, Molecular Biology, Surgery, Biomedical Engineering and Epidemiology, having authored 38 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (6 papers), Bone Tissue Engineering Materials (4 papers), Cardiac Arrest and Resuscitation (3 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Immunology (1.8k citations), Oncology (370 citations), Immunology and Allergy (70 citations), Neurology (93 citations) and Hematology (114 citations). Xiaodi Wu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Kenneth M. Murphy, Nicole M. Kretzer, Carlos G. Briseño, Jörn C. Albring, Gary E. Grajales‐Reyes, Ansuman T. Satpathy, Arifumi Iwata, Theresa L. Murphy, Roxane Tussiwand and Vivek Durai. Their work appears in journals such as Nature Immunology, Nature Communications, Cell Reports, The Journal of Experimental Medicine and Proceedings of the National Academy of Sciences.
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.