Ping Mu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Prostate Cancer Treatment and Research
Papers in
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- MicroRNA in disease regulation 5
- Cancer Genomics and Diagnostics 4
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- Prostate Cancer Treatment and Research 11
- Co-authors
- Andrea Ventura (3 shared papers)Yan Dong (5 shared papers)Oliver M. Schlüter (5 shared papers)Bo Xu (1 shared paper)David P. Labbé (1 shared paper)Massimo F. Loda (1 shared paper)Yanqing Wang (1 shared paper)David W. Goodrich (1 shared paper)
- Journals
- Cancer Cell (3 papers)Journal of Neuroscience (3 papers)Oncogene (2 papers)Science (2 papers)RSC Advances (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ping Mu
40 papers receiving 4.2k citations
Ping Mu's Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 1.2k
- Pulmonary and Respiratory Medicine 1.3k
- Oncology 855
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 559
Countries citing papers authored by Ping Mu
This map shows the geographic impact of Ping 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 Ping Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Mu more than expected).
Fields of papers citing papers by Ping Mu
This network shows the impact of papers produced by Ping 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 Ping Mu. The network helps show where Ping Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance Hit paper breakdown → | 2017 | 858 |
| 2 | SOX2 promotes lineage plasticity and antiandrogen resistance in TP53 - and RB1 -deficient prostate cancer Hit paper breakdown → | 2017 | 834 |
| 3 | 2010 | 283 | |
| 4 | 2009 | 221 | |
| 5 | 2020 | 209 | |
| 6 | 2017 | 198 | |
| 7 | 2015 | 192 | |
| 8 | 2014 | 185 | |
| 9 | 2012 | 170 | |
| 10 | 2011 | 151 | |
| 11 | 2020 | 117 | |
| 12 | 2022 | 114 | |
| 13 | 2010 | 107 | |
| 14 | 2009 | 104 | |
| 15 | 2015 | 90 | |
| 16 | 2022 | 56 | |
| 17 | 2019 | 55 | |
| 18 | 2020 | 50 | |
| 19 | 2018 | 38 | |
| 20 | 2022 | 37 |
About Ping Mu
Ping Mu is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Cellular and Molecular Neuroscience and Oncology, having authored 45 papers that have together received 4.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Neuroscience and Neuropharmacology Research (5 papers), MicroRNA in disease regulation (5 papers), Cancer Genomics and Diagnostics (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Pulmonary and Respiratory Medicine (1.3k citations), Oncology (855 citations), Molecular Biology (2.1k citations) and Cellular and Molecular Neuroscience (559 citations). Ping Mu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Andrea Ventura, Yan Dong, Oliver M. Schlüter, Bo Xu, David P. Labbé, Massimo F. Loda, Yanqing Wang, David W. Goodrich, Sheng‐Yu Ku and Eduardo Cortes Gomez. Their work appears in journals such as Cancer Cell, Journal of Neuroscience, Oncogene, Science and RSC Advances.
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.