Mi Mu
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 1
-
- Pulmonary Hypertension Research and Treatments 1
- Co-authors
- Tianzhi Li (3 shared papers)Yingzhen Du (3 shared papers)Guogang Xu (4 shared papers)Chao Hu (3 shared papers)Runsheng Wang (3 shared papers)Lei Tu (3 shared papers)Pengcheng Yang (2 shared papers)Qinyong Hu (2 shared papers)
- Journals
- The American Journal of Gastroenterology (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)Hypertension (1 paper)Cancer Management and Research (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mi Mu
10 papers receiving 1.9k citations
Mi Mu's Hit Papers
Peers
Comparison fields: 5 of 108
- Infectious Diseases 1.2k
- Neurology 542
- Applied Microbiology and Biotechnology 29
- Critical Care and Intensive Care Medicine 59
- Modeling and Simulation 42
Countries citing papers authored by Mi Mu
This map shows the geographic impact of Mi Mu'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 Mi Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Mu more than expected).
Fields of papers citing papers by Mi Mu
This network shows the impact of papers produced by Mi Mu. 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 Mi Mu. The network helps show where Mi Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Mu, 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 | Clinical Characteristics of COVID-19 Patients With Digestive Symptoms in Hubei, China: A Descriptive, Cross-Sectional, Multicenter Study Hit paper breakdown → | 2020 | 1244 |
| 2 | Clinical Features of 85 Fatal Cases of COVID-19 from Wuhan. A Retrospective Observational Study Hit paper breakdown → | 2020 | 646 |
| 3 | 2020 | 34 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 12 | |
| 7 | 2024 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2022 | 1 |
About Mi Mu
Mi Mu is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Dermatology, Neurology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Allergic Rhinitis and Sensitization (1 paper), SARS-CoV-2 detection and testing (1 paper), Pneumonia and Respiratory Infections (1 paper), Dermatology and Skin Diseases (1 paper), Cardiac tumors and thrombi (1 paper), Long-Term Effects of COVID-19 (1 paper) and Pulmonary Hypertension Research and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (1.2k citations), Neurology (542 citations), Applied Microbiology and Biotechnology (29 citations), Critical Care and Intensive Care Medicine (59 citations) and Modeling and Simulation (42 citations). Mi Mu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tianzhi Li, Yingzhen Du, Guogang Xu, Chao Hu, Runsheng Wang, Lei Tu, Pengcheng Yang, Qinyong Hu, Xun Niu and Yu Sun. Their work appears in journals such as The American Journal of Gastroenterology, American Journal of Respiratory and Critical Care Medicine, Hypertension, Cancer Management and Research and Frontiers in Immunology.
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.