Huaming Mou
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 3
-
- Cardiovascular Function and Risk Factors 3
- Co-authors
- Xiaohong Yao (1 shared paper)Yi‐Fang Ping (1 shared paper)Xiu‐Wu Bian (1 shared paper)Tingyuan Li (1 shared paper)Qiao‐Nan Guo (1 shared paper)Yan Wang (1 shared paper)Shi‐Cang Yu (1 shared paper)Xindong Liu (1 shared paper)
- Journals
- Cell Research (1 paper)Journal of Cardiac Failure (1 paper)Clinical Science (1 paper)Journal of Medical Virology (1 paper)Biomedicines (1 paper)
- Partner nations
- ChinaAustraliaSaudi Arabia
In The Last Decade
Huaming Mou
14 papers receiving 420 citations
Peers
Comparison fields: 5 of 77
- Infectious Diseases 248
- Neurology 115
- Modeling and Simulation 28
- Critical Care and Intensive Care Medicine 14
- Pulmonary and Respiratory Medicine 73
Countries citing papers authored by Huaming Mou
This map shows the geographic impact of Huaming Mou'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 Huaming Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaming Mou more than expected).
Fields of papers citing papers by Huaming Mou
This network shows the impact of papers produced by Huaming Mou. 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 Huaming Mou. The network helps show where Huaming Mou may publish in the future.
Co-authors
The 25 scholars most cited alongside Huaming Mou, 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 | 135 | |
| 2 | 2020 | 88 | |
| 3 | 2020 | 61 | |
| 4 | 2020 | 46 | |
| 5 | 2016 | 34 | |
| 6 | 2021 | 27 | |
| 7 | 2023 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2024 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2023 | 1 | |
| 13 | Effect of Pre-Hospital Ticagrelor in Primary Percutaneous Coronary Intervention on Patients with ST-Segment Elevation Myocardial Infarction: A systematic review and meta-analysis. | 2019 | 1 |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2022 | 0 |
About Huaming Mou
Huaming Mou is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 16 papers that have together received 430 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiovascular Function and Risk Factors (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Long-Term Effects of COVID-19 (2 papers), COVID-19 and Mental Health (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Infectious Diseases (248 citations), Neurology (115 citations), Modeling and Simulation (28 citations), Critical Care and Intensive Care Medicine (14 citations) and Pulmonary and Respiratory Medicine (73 citations). Huaming Mou has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Xiaohong Yao, Yi‐Fang Ping, Xiu‐Wu Bian, Tingyuan Li, Qiao‐Nan Guo, Yan Wang, Shi‐Cang Yu, Xindong Liu, Huarong Zhang and Zhi-Cheng He. Their work appears in journals such as Cell Research, Journal of Cardiac Failure, Clinical Science, Journal of Medical Virology and Biomedicines.
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.