Feng Mu
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Vector-Borne Animal Diseases
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Viral Infections and Vectors 2
- Viral gastroenteritis research and epidemiology 2
- Genetics 6
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Kai Kang (2 shared papers)Weijun Chen (4 shared papers)Hong Ma (2 shared papers)Weili Wu (2 shared papers)Haomin Chen (1 shared paper)Bianli Xu (1 shared paper)Xueyong Huang (1 shared paper)Haifeng Wang (1 shared paper)
- Journals
- PLoS Pathogens (1 paper)Clinical Chemistry (1 paper)Molecular Diagnosis (1 paper)Familial Cancer (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Feng Mu
13 papers receiving 621 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 514
- Ecology, Evolution, Behavior and Systematics 200
- Global and Planetary Change 162
- Animal Science and Zoology 68
- Modeling and Simulation 20
Countries citing papers authored by Feng Mu
This map shows the geographic impact of Feng 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 Feng Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Mu more than expected).
Fields of papers citing papers by Feng Mu
This network shows the impact of papers produced by Feng 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 Feng Mu. The network helps show where Feng Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 | 2011 | 274 | |
| 2 | 2012 | 134 | |
| 3 | 2005 | 85 | |
| 4 | 2004 | 51 | |
| 5 | 2013 | 21 | |
| 6 | 2014 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2016 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2014 | 7 | |
| 12 | 2016 | 6 | |
| 13 | 2004 | 4 | |
| 14 | 2023 | 0 |
About Feng Mu
Feng Mu is a scholar working on Infectious Diseases, Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 640 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Prenatal Screening and Diagnostics (2 papers), Chromosomal and Genetic Variations (2 papers), Vector-Borne Animal Diseases (2 papers), Viral Infections and Vectors (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (514 citations), Ecology, Evolution, Behavior and Systematics (200 citations), Global and Planetary Change (162 citations), Animal Science and Zoology (68 citations) and Modeling and Simulation (20 citations). Feng Mu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Kai Kang, Weijun Chen, Hong Ma, Weili Wu, Haomin Chen, Bianli Xu, Xueyong Huang, Haifeng Wang, Shiqiang Zhang and Yanhua Du. Their work appears in journals such as PLoS Pathogens, Clinical Chemistry, Molecular Diagnosis, Familial Cancer and BMC Bioinformatics.
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.