Guihui Wu
Impact in
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- Tuberculosis Research and Epidemiology
-
- Liver Disease Diagnosis and Treatment
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
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- Tuberculosis Research and Epidemiology 16
- Epidemiology 15
- Mycobacterium research and diagnosis 9
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Pneumonia and Respiratory Infections 4
- Co-authors
- Qun Sun (2 shared papers)Li Zhang (1 shared paper)Mei Luo (1 shared paper)Stephen J. Pandol (1 shared paper)Danmei Su (1 shared paper)Yu-Chen Lai (1 shared paper)Hidekazu Tsukamoto (1 shared paper)Zhongping Duan (1 shared paper)
- Journals
- BMC Infectious Diseases (3 papers)Scientific Reports (2 papers)Infection and Drug Resistance (1 paper)Medicine (1 paper)Journal of Evidence-Based Medicine (1 paper)
- Partner nations
- ChinaGuadeloupeUnited States
In The Last Decade
Guihui Wu
15 papers receiving 225 citations
Peers
Comparison fields: 5 of 57
- Infectious Diseases 73
- Epidemiology 105
- Pathology and Forensic Medicine 52
- Physiology 51
- Microbiology 9
Countries citing papers authored by Guihui Wu
This map shows the geographic impact of Guihui 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 Guihui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guihui Wu more than expected).
Fields of papers citing papers by Guihui Wu
This network shows the impact of papers produced by Guihui 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 Guihui Wu. The network helps show where Guihui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guihui 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 149 | |
| 2 | 2020 | 17 | |
| 3 | 2021 | 13 | |
| 4 | 2019 | 11 | |
| 5 | 2010 | 7 | |
| 6 | 2019 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2020 | 5 | |
| 9 | 2017 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Guihui Wu
Guihui Wu is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 227 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (9 papers), Diagnosis and treatment of tuberculosis (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Pneumonia and Respiratory Infections (4 papers), Infectious Diseases and Tuberculosis (4 papers), Tracheal and airway disorders (3 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (73 citations), Epidemiology (105 citations), Pathology and Forensic Medicine (52 citations), Physiology (51 citations) and Microbiology (9 citations). Guihui Wu has collaborated with scholars based in China, Guadeloupe and United States. Frequent co-authors include Qun Sun, Li Zhang, Mei Luo, Stephen J. Pandol, Danmei Su, Yu-Chen Lai, Hidekazu Tsukamoto, Zhongping Duan, Sujun Zheng and Richard Hu. Their work appears in journals such as BMC Infectious Diseases, Scientific Reports, Infection and Drug Resistance, Medicine and Journal of Evidence-Based Medicine.
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.