Kuan-Sheng Wu
- Infectious Diseases top 10%
- Infection Control in Healthcare 4
- Antimicrobial Resistance in Staphylococcus 4
- Tuberculosis Research and Epidemiology 3
- HIV/AIDS drug development and treatment 3
- General Dentistry top 10%
- Small Animals top 10%
-
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Infective Endocarditis Diagnosis and Management 3
-
- Physics of Superconductivity and Magnetism 3
-
- Bacterial Identification and Susceptibility Testing 3
- Co-authors
- Susan Shin‐Jung LeeCheng-Len SyHung‐Chin TsaiYao-Shen ChenYu‐Ting TsengShue-Ren WannHuey-Shyan LinQ. D. Jiang
- Journals
- Journal of Microbiology Immunology and Infection (9 papers)BMC Infectious Diseases (3 papers)American Journal of Infection Control (3 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Kuan-Sheng Wu
26 papers receiving 376 citations
Peers
Comparison fields: 5 of 93
- Applied Microbiology and Biotechnology 20
- Infectious Diseases 182
- Microbiology 6
- General Dentistry 12
- Small Animals 32
Countries citing papers authored by Kuan-Sheng Wu
This map shows the geographic impact of Kuan-Sheng 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 Kuan-Sheng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan-Sheng Wu more than expected).
Fields of papers citing papers by Kuan-Sheng Wu
This network shows the impact of papers produced by Kuan-Sheng 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 Kuan-Sheng Wu. The network helps show where Kuan-Sheng Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kuan-Sheng 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 | 2024 | 17 | |
| 2 | 2022 | 2 | |
| 3 | 2020 | 29 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 21 | |
| 6 | 2018 | 29 | |
| 7 | 2017 | 0 | |
| 8 | 2016 | 18 | |
| 9 | 2015 | 31 | |
| 10 | 2015 | 6 | |
| 11 | 2014 | 7 | |
| 12 | 2014 | 12 | |
| 13 | 2014 | 15 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 4 | |
| 16 | 2013 | 12 | |
| 17 | 2012 | 28 | |
| 18 | 2011 | 15 | |
| 19 | 2009 | 6 | |
| 20 | 2008 | 8 |
About Kuan-Sheng Wu
Kuan-Sheng Wu is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Aging, having authored 27 papers that have together received 393 indexed citations. Recurring topics across this work include Infection Control in Healthcare (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Tuberculosis Research and Epidemiology (3 papers), Physics of Superconductivity and Magnetism (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Infective Endocarditis Diagnosis and Management (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (20 citations), Infectious Diseases (182 citations) and Microbiology (6 citations). Kuan-Sheng Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Susan Shin‐Jung Lee, Cheng-Len Sy, Hung‐Chin Tsai, Yao-Shen Chen, Yu‐Ting Tseng, Shue-Ren Wann, Huey-Shyan Lin, Q. D. Jiang, Deshun Yin and Hsi-Hsun Lin. Their work appears in journals such as Journal of Microbiology Immunology and Infection, BMC Infectious Diseases, American Journal of Infection Control, IEEE Transactions on Applied Superconductivity and PLoS ONE.
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.