Mi Mu
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- General Dentistry top 10%
Papers in
-
- COVID-19 Clinical Research Studies 3
- Oncology 2
- Vascular Tumors and Angiosarcomas 1
- Lung Cancer Research Studies 1
- Co-authors
- Guogang Xu (4 shared papers)Yingzhen Du (3 shared papers)Tianzhi Li (3 shared papers)Chao Hu (3 shared papers)Lei Tu (3 shared papers)Pengcheng Yang (2 shared papers)Qinyong Hu (2 shared papers)Runsheng Wang (3 shared papers)
- Journals
- Cancer Management and Research (1 paper)European Journal of Clinical Microbiology & Infectious Diseases (1 paper)The American Journal of Gastroenterology (1 paper)Frontiers in Immunology (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mi Mu
12 papers receiving 2.2k citations
Mi Mu's Hit Papers
Peers
Comparison fields: 5 of 70
- Infectious Diseases 1.2k
- General Dentistry 9
- Neurology 84
- Applied Microbiology and Biotechnology 12
- Modeling and Simulation 19
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 | 1343 |
| 2 | 2020 | 710 | |
| 3 | 2022 | 63 | |
| 4 | 2020 | 36 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 12 | |
| 9 | 2024 | 12 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 1 |
About Mi Mu
Mi Mu is a scholar working on Infectious Diseases, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Cell Biology, having authored 12 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Influenza Virus Research Studies (2 papers), Pulmonary Hypertension Research and Treatments (1 paper), Vascular Tumors and Angiosarcomas (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Lung Cancer Research Studies (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Infectious Diseases (1.2k citations), General Dentistry (9 citations), Neurology (84 citations), Applied Microbiology and Biotechnology (12 citations) and Modeling and Simulation (19 citations). Mi Mu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guogang Xu, Yingzhen Du, Tianzhi Li, Chao Hu, Lei Tu, Pengcheng Yang, Qinyong Hu, Runsheng Wang, Jun‐Hong Yan and Lei Pan. Their work appears in journals such as Cancer Management and Research, European Journal of Clinical Microbiology & Infectious Diseases, The American Journal of Gastroenterology, Frontiers in Immunology and Journal of Autoimmunity.
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.