Runqing Mu
Impact in
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- Meta-analysis and systematic reviews
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- Clinical Laboratory Practices and Quality Control
- Adipose Tissue and Metabolism
Papers in
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- Clinical Laboratory Practices and Quality Control 7
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- Advanced biosensing and bioanalysis techniques 3
- DNA and Nucleic Acid Chemistry 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Ke Yun (5 shared papers)Yunjia Li (1 shared paper)Hong Shang (8 shared papers)Lanlan Wang (4 shared papers)Yueyun Ma (3 shared papers)Wei Guo (4 shared papers)Xiaoke Hao (4 shared papers)Yifu Guan (5 shared papers)
- Journals
- PLoS ONE (4 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Journal of Clinical Laboratory Analysis (3 papers)Clinica Chimica Acta (2 papers)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (1 paper)
- Partner nations
- China
In The Last Decade
Runqing Mu
19 papers receiving 262 citations
Peers
Comparison fields: 5 of 76
- Statistics, Probability and Uncertainty 31
- Physiology 96
- Nephrology 20
- Genetics 18
- Epidemiology 53
Countries citing papers authored by Runqing Mu
This map shows the geographic impact of Runqing 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 Runqing Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runqing Mu more than expected).
Fields of papers citing papers by Runqing Mu
This network shows the impact of papers produced by Runqing 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 Runqing Mu. The network helps show where Runqing Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Runqing 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 | 2020 | 65 | |
| 2 | 2015 | 57 | |
| 3 | 2013 | 24 | |
| 4 | 2019 | 19 | |
| 5 | 2014 | 15 | |
| 6 | 2019 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2014 | 11 | |
| 9 | 2007 | 8 | |
| 10 | 2013 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2013 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2017 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2014 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2015 | 0 |
About Runqing Mu
Runqing Mu is a scholar working on Physiology, Molecular Biology, Statistics, Probability and Uncertainty, Statistics and Probability and Epidemiology, having authored 20 papers that have together received 268 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), Statistical Methods in Clinical Trials (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Renal function and acid-base balance (2 papers), CRISPR and Genetic Engineering (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (31 citations), Physiology (96 citations), Nephrology (20 citations), Genetics (18 citations) and Epidemiology (53 citations). Runqing Mu has collaborated with scholars based in China. Frequent co-authors include Ke Yun, Yunjia Li, Hong Shang, Lanlan Wang, Yueyun Ma, Wei Guo, Xiaoke Hao, Yifu Guan, Wenxiang Chen and Baishen Pan. Their work appears in journals such as PLoS ONE, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Laboratory Analysis, Clinica Chimica Acta and Annals of Clinical Biochemistry International Journal of Laboratory 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.