Ping Mu
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
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- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
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- Cancer, Hypoxia, and Metabolism 6
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- Neuroblastoma Research and Treatments 8
- Co-authors
- Kenji Kadomatsu (10 shared papers)Satoshi Kishida (6 shared papers)Yan Dong (3 shared papers)Yoshifumi Takei (2 shared papers)Yanhua H. Huang (2 shared papers)Rongliang Zheng (2 shared papers)Daniel B. Saal (2 shared papers)Jaak Panksepp (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Cancer Research (2 papers)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (2 papers)Molecular Psychiatry (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ping Mu
34 papers receiving 652 citations
Peers
Comparison fields: 5 of 91
- Behavioral Neuroscience 35
- Cancer Research 111
- Geriatrics and Gerontology 25
- Neurology 72
- Pharmacy 22
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 75 | |
| 2 | 2009 | 66 | |
| 3 | 2012 | 54 | |
| 4 | 2011 | 51 | |
| 5 | 2007 | 45 | |
| 6 | 2008 | 38 | |
| 7 | 2017 | 32 | |
| 8 | 2022 | 32 | |
| 9 | 2010 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2007 | 24 | |
| 12 | 2019 | 24 | |
| 13 | 2010 | 23 | |
| 14 | 2014 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2024 | 18 | |
| 17 | 2015 | 16 | |
| 18 | 2021 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2021 | 11 |
About Ping Mu
Ping Mu is a scholar working on Cancer Research, Neurology, Molecular Biology, Genetics and Physiology, having authored 36 papers that have together received 672 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Signaling Pathways in Disease (3 papers), Alzheimer's disease research and treatments (3 papers), Biochemical effects in animals (3 papers), Neuroscience and Neuropharmacology Research (3 papers), GABA and Rice Research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Behavioral Neuroscience (35 citations), Cancer Research (111 citations), Geriatrics and Gerontology (25 citations), Neurology (72 citations) and Pharmacy (22 citations). Ping Mu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kenji Kadomatsu, Satoshi Kishida, Yan Dong, Yoshifumi Takei, Yanhua H. Huang, Rongliang Zheng, Daniel B. Saal, Jaak Panksepp, Thomas A. E. Fuchs and Barbara A. Sorg. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancer Research, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, Molecular Psychiatry and Molecular Cancer Therapeutics.
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.