Xiaomai Wu
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Antibiotic Resistance in Bacteria
Papers in
- Oncology 6
- Lung Cancer Research Studies 6
- Peptidase Inhibition and Analysis 2
- Pancreatic and Hepatic Oncology Research 1
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- Antifungal resistance and susceptibility 1
- Co-authors
- Dongqing Lv (12 shared papers)Ling Lin (6 shared papers)Guixian Wu (4 shared papers)Xi Chen (2 shared papers)Jian Lin (3 shared papers)Zhi Lin (1 shared paper)Haihua Yang (5 shared papers)Jiao Sun (1 shared paper)
- Journals
- Life (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)BioMed Research International (1 paper)International Immunopharmacology (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaomai Wu
19 papers receiving 156 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 53
- Molecular Medicine 14
- Neurology 39
- Applied Microbiology and Biotechnology 4
- Critical Care and Intensive Care Medicine 4
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 | 16 | |
| 5 | 2013 | 15 | |
| 6 | 2019 | 8 | |
| 7 | 2022 | 6 | |
| 8 | [Association between human beta defensin-1 single nucleotide polymorphisms and susceptibility to pulmonary tuberculosis]. | 2012 | 6 |
| 9 | 2019 | 6 | |
| 10 | 2020 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2025 | 0 |
About Xiaomai Wu
Xiaomai Wu is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Neurology and Epidemiology, having authored 20 papers that have together received 157 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (6 papers), Peptidase Inhibition and Analysis (2 papers), Long-Term Effects of COVID-19 (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Antibiotic Use and Resistance (1 paper), Disaster Response and Management (1 paper), Antifungal resistance and susceptibility (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Infectious Diseases (53 citations), Molecular Medicine (14 citations), Neurology (39 citations), Applied Microbiology and Biotechnology (4 citations) and Critical Care and Intensive Care Medicine (4 citations). Xiaomai Wu has collaborated with scholars based in China and United States. Frequent co-authors include Dongqing Lv, Ling Lin, Guixian Wu, Xi Chen, Jian Lin, Zhi Lin, Haihua Yang, Jiao Sun, Xiaodan Wang and Chao Zhou. Their work appears in journals such as Life, Frontiers in Cellular and Infection Microbiology, BioMed Research International, International Immunopharmacology and International Journal of Infectious Diseases.
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.