Xuemei Wu
- Molecular Biology top 10%
- Immunology top 5%
- Epidemiology
- Oncology
- Cancer Research top 10%
- Co-authors
- C. PatrickShanshan YuJingxian WuYong ZhaoAnne O’GarraYanlin ChenLindsay W. BlackPier Paolo Pandolfi
- Topics
- Innovative Teaching and Learning Methods (7 papers)Genomics, phytochemicals, and oxidative stress (4 papers)Immune Cell Function and Interaction (4 papers)
- Journals
- Nature CommunicationsThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xuemei Wu
78 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 929
- Immunology 462
- Epidemiology 237
- Oncology 223
- Cancer Research 201
Countries citing papers authored by Xuemei Wu
This map shows the geographic impact of Xuemei 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 Xuemei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuemei Wu more than expected).
Fields of papers citing papers by Xuemei Wu
This network shows the impact of papers produced by Xuemei 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 Xuemei Wu. The network helps show where Xuemei Wu may publish in the future.
Co-authorship network of co-authors of Xuemei Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xuemei Wu. A scholar is included among the top collaborators of Xuemei Wu 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 Xuemei Wu. Xuemei Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 31 | |
| 7 | Exploring the Relationships between Achievement Goals, Community Identification and Online Collaborative Reflection: A Deep Learning and Bayesian Approach | 18 |
| 8 | 81 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | Design and experiment of a fertilizer deep applicator for twin-row within one ridge. | 1 |
| 13 | 1 | |
| 14 | 35 | |
| 15 | 4 | |
| 16 | 27 | |
| 17 | Observations on the Efficacy of Nape Eight-needle Acupuncture in Treating Cervical Spondylotic Vertebral Arteriopathy | 1 |
| 18 | 7 | |
| 19 | 2 | |
| 20 | Surface reconstruction aiming at points cloud data based on generalized regression neural network | 1 |
About Xuemei Wu
Xuemei Wu is a scholar working on Sensory Systems, Immunology and Developmental and Educational Psychology, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Molecular Medicine (168 citations), Immunology (462 citations) and Neurology (159 citations). Xuemei Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include C. Patrick, Shanshan Yu, Jingxian Wu, Yong Zhao, Anne O’Garra, Yanlin Chen, Lindsay W. Black, Pier Paolo Pandolfi, Jiming Xie and Xinyi Li. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.