Yunming Mu
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
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- Hemophilia Treatment and Research
- Platelet Disorders and Treatments
Papers in
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- Statistical Methods and Inference 3
- Statistical Methods in Clinical Trials 2
- Statistical Methods and Bayesian Inference 2
- Advanced Statistical Methods and Models 2
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- Hemophilia Treatment and Research 2
- Acute Myeloid Leukemia Research 1
- Co-authors
- Xuming He (1 shared paper)Masha Kocherginsky (1 shared paper)Ying Wei (1 shared paper)Yaping Xu (2 shared papers)Susan M. Begelman (1 shared paper)Maxine D. Fisher (1 shared paper)Hilary Placzek (1 shared paper)Paul G. Solari (2 shared papers)
- Journals
- Blood (2 papers)Journal of Clinical Oncology (1 paper)Journal of Managed Care & Specialty Pharmacy (1 paper)Journal of Computational and Graphical Statistics (1 paper)Current Medical Research and Opinion (1 paper)
- Partner nations
- United StatesSpainJapan
In The Last Decade
Yunming Mu
13 papers receiving 288 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 127
- Hematology 51
- Finance 25
- General Economics, Econometrics and Finance 16
- Genetics 18
Countries citing papers authored by Yunming Mu
This map shows the geographic impact of Yunming 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 Yunming Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunming Mu more than expected).
Fields of papers citing papers by Yunming Mu
This network shows the impact of papers produced by Yunming 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 Yunming Mu. The network helps show where Yunming Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunming 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 | 2005 | 114 | |
| 2 | 2007 | 58 | |
| 3 | 2017 | 43 | |
| 4 | 2015 | 24 | |
| 5 | 2022 | 23 | |
| 6 | A DYNAMIC QUANTILE REGRESSION TRANSFORMATION MODEL FOR LONGITUDINAL DATA | 2009 | 19 |
| 7 | 2020 | 10 | |
| 8 | 2022 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2015 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2020 | 2 | |
| 13 | Power Transformation Towards Linear or Partially Linear Quantile Regression Models | 2005 | 2 |
About Yunming Mu
Yunming Mu is a scholar working on Statistics and Probability, Hematology, Molecular Biology, Pathology and Forensic Medicine and Management Science and Operations Research, having authored 13 papers that have together received 308 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Cancer Mechanisms and Therapy (2 papers), Hemophilia Treatment and Research (2 papers), Statistical Methods in Clinical Trials (2 papers), Statistical Methods and Bayesian Inference (2 papers), Optimal Experimental Design Methods (2 papers), Advanced Statistical Methods and Models (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Statistics and Probability (127 citations), Hematology (51 citations), Finance (25 citations), General Economics, Econometrics and Finance (16 citations) and Genetics (18 citations). Yunming Mu has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Xuming He, Masha Kocherginsky, Xuming He, Ying Wei, Yaping Xu, Susan M. Begelman, Maxine D. Fisher, Hilary Placzek, Paul G. Solari and Víctor Jiménez‐Yuste. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Managed Care & Specialty Pharmacy, Journal of Computational and Graphical Statistics and Current Medical Research and Opinion.
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.