Xiaomai Wu
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Long-Term Effects of COVID-19
Papers in
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- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 2
- Oncology 7
- Lung Cancer Research Studies 6
- Peptidase Inhibition and Analysis 4
- Co-authors
- Dongqing Lv (11 shared papers)Guixian Wu (4 shared papers)Ling Lin (6 shared papers)Xi Chen (2 shared papers)Jian Lin (3 shared papers)Haihua Yang (5 shared papers)Xiaodan Wang (1 shared paper)Zhi Lin (1 shared paper)
- Journals
- Frontiers in Psychiatry (1 paper)Annals of Palliative Medicine (1 paper)Journal of Thoracic Oncology (1 paper)International Journal of Infectious Diseases (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaomai Wu
19 papers receiving 154 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 71
- Neurology 53
- Applied Microbiology and Biotechnology 7
- Molecular Medicine 15
- Critical Care and Intensive Care Medicine 7
Countries citing papers authored by Xiaomai Wu
This map shows the geographic impact of Xiaomai 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 Xiaomai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomai Wu more than expected).
Fields of papers citing papers by Xiaomai Wu
This network shows the impact of papers produced by Xiaomai 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 Xiaomai Wu. The network helps show where Xiaomai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomai 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 30 | |
| 2 | 2020 | 25 | |
| 3 | 2020 | 19 | |
| 4 | 2016 | 15 | |
| 5 | 2013 | 15 | |
| 6 | 2019 | 8 | |
| 7 | 2022 | 6 | |
| 8 | 2019 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2022 | 5 | |
| 11 | [Association between human beta defensin-1 single nucleotide polymorphisms and susceptibility to pulmonary tuberculosis]. | 2012 | 5 |
| 12 | 2022 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2021 | 1 |
About Xiaomai Wu
Xiaomai Wu is a scholar working on Infectious Diseases, Oncology, Neurology, Epidemiology and Molecular Biology, having authored 19 papers that have together received 155 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers), Peptidase Inhibition and Analysis (4 papers), COVID-19 Clinical Research Studies (4 papers), Nosocomial Infections in ICU (2 papers), Cancer therapeutics and mechanisms (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Infectious Diseases (71 citations), Neurology (53 citations), Applied Microbiology and Biotechnology (7 citations), Molecular Medicine (15 citations) and Critical Care and Intensive Care Medicine (7 citations). Xiaomai Wu has collaborated with scholars based in China and United States. Frequent co-authors include Dongqing Lv, Guixian Wu, Ling Lin, Xi Chen, Jian Lin, Haihua Yang, Xiaodan Wang, Zhi Lin, Jiao Sun and Xi Chen. Their work appears in journals such as Frontiers in Psychiatry, Annals of Palliative Medicine, Journal of Thoracic Oncology, International Journal of Infectious Diseases and BMC Cancer.
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.