Xiaocui Wu
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Antimicrobial Resistance in Staphylococcus
Papers in
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- Tuberculosis Research and Epidemiology 24
- Antimicrobial Resistance in Staphylococcus 10
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- Antibiotic Resistance in Bacteria 9
- Co-authors
- Fangyou Yu (37 shared papers)Yinjuan Guo (28 shared papers)Yanlei Xu (16 shared papers)Lulin Rao (15 shared papers)Huilin Zhao (13 shared papers)Jingyi Yu (11 shared papers)Wei Sha (14 shared papers)Haican Liu (5 shared papers)
- Journals
- Infection and Drug Resistance (6 papers)Microbiology Spectrum (4 papers)International Journal of Infectious Diseases (4 papers)Frontiers in Microbiology (3 papers)Emerging Microbes & Infections (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiaocui Wu
49 papers receiving 705 citations
Peers
Comparison fields: 5 of 64
- Molecular Medicine 149
- Infectious Diseases 402
- Microbiology 7
- Epidemiology 246
- Applied Microbiology and Biotechnology 12
Countries citing papers authored by Xiaocui Wu
This map shows the geographic impact of Xiaocui 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 Xiaocui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaocui Wu more than expected).
Fields of papers citing papers by Xiaocui Wu
This network shows the impact of papers produced by Xiaocui 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 Xiaocui Wu. The network helps show where Xiaocui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaocui 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 66 | |
| 2 | 2019 | 63 | |
| 3 | 2023 | 55 | |
| 4 | 2014 | 31 | |
| 5 | 2022 | 29 | |
| 6 | 2023 | 27 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 23 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 20 | |
| 12 | 2024 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2022 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2023 | 16 | |
| 18 | 2024 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2023 | 14 |
About Xiaocui Wu
Xiaocui Wu is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Microbiology and Endocrinology, having authored 51 papers that have together received 714 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (19 papers), Bacterial biofilms and quorum sensing (10 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Antibiotic Resistance in Bacteria (9 papers), Antimicrobial Peptides and Activities (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Infections and bacterial resistance (3 papers). The work is most often cited by research in Molecular Medicine (149 citations), Infectious Diseases (402 citations), Microbiology (7 citations), Epidemiology (246 citations) and Applied Microbiology and Biotechnology (12 citations). Xiaocui Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Fangyou Yu, Yinjuan Guo, Yanlei Xu, Lulin Rao, Huilin Zhao, Jingyi Yu, Wei Sha, Haican Liu, Jinghui Yang and Ying Zhou. Their work appears in journals such as Infection and Drug Resistance, Microbiology Spectrum, International Journal of Infectious Diseases, Frontiers in Microbiology and Emerging Microbes & Infections.
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.