Xiuli Wu
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 48
- Immune Cell Function and Interaction 23
- Immunotherapy and Immune Responses 19
- T-cell and B-cell Immunology 19
- Immune Response and Inflammation 9
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- RNA Interference and Gene Delivery 9
- Co-authors
- Yangqiu Li (55 shared papers)Kermit L. Carraway (4 shared papers)Lily Yen (4 shared papers)Colleen Sweeney (4 shared papers)Shaohua Chen (40 shared papers)Lijian Yang (38 shared papers)Qifa Liu (19 shared papers)Melanie B. Laederich (1 shared paper)
- Journals
- Blood (8 papers)Journal of Hematology & Oncology (7 papers)International Immunopharmacology (6 papers)Journal of Translational Medicine (6 papers)Cancer Cell International (5 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiuli Wu
143 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Immunology 710
- Hematology 360
- Genetics 282
- Oncology 639
- Cancer Research 205
Countries citing papers authored by Xiuli Wu
This map shows the geographic impact of Xiuli 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 Xiuli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuli Wu more than expected).
Fields of papers citing papers by Xiuli Wu
This network shows the impact of papers produced by Xiuli 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 Xiuli Wu. The network helps show where Xiuli Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiuli 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 192 | |
| 2 | 2014 | 131 | |
| 3 | 2004 | 129 | |
| 4 | 2021 | 100 | |
| 5 | 2007 | 93 | |
| 6 | 2012 | 88 | |
| 7 | 2013 | 69 | |
| 8 | 2006 | 68 | |
| 9 | 2006 | 38 | |
| 10 | 2009 | 37 | |
| 11 | 2003 | 36 | |
| 12 | 2019 | 36 | |
| 13 | 2015 | 36 | |
| 14 | 2020 | 35 | |
| 15 | 2007 | 34 | |
| 16 | 2006 | 34 | |
| 17 | 2012 | 32 | |
| 18 | 2023 | 31 | |
| 19 | 2020 | 30 | |
| 20 | 2012 | 30 |
About Xiuli Wu
Xiuli Wu is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Genetics, having authored 148 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), Immunotherapy and Immune Responses (19 papers), T-cell and B-cell Immunology (19 papers), CAR-T cell therapy research (15 papers), Hematopoietic Stem Cell Transplantation (14 papers), RNA Interference and Gene Delivery (9 papers), Immune Response and Inflammation (9 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Immunology (710 citations), Hematology (360 citations), Genetics (282 citations), Oncology (639 citations) and Cancer Research (205 citations). Xiuli Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yangqiu Li, Kermit L. Carraway, Lily Yen, Colleen Sweeney, Shaohua Chen, Lijian Yang, Qifa Liu, Melanie B. Laederich, Zhongwei Cao and Zhiping Fan. Their work appears in journals such as Blood, Journal of Hematology & Oncology, International Immunopharmacology, Journal of Translational Medicine and Cancer Cell International.
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.