Ming Cheng
Impact in
- Neurology top 10%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
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- Tuberous Sclerosis Complex Research
- Pain Mechanisms and Treatments
Papers in
-
- RNA Interference and Gene Delivery 7
- Ion channel regulation and function 4
- Genetics 10
- Virus-based gene therapy research 6
- Co-authors
- Emad N. Eskandar (9 shared papers)Ziv M. Williams (6 shared papers)Sridevi V. Sarma (6 shared papers)Emery N. Brown (6 shared papers)Elizabeth A. Thiele (2 shared papers)Philippe Major (2 shared papers)Mirela V. Simon (2 shared papers)Matthew P. Frosch (2 shared papers)
- Journals
- Human Gene Therapy (2 papers)International Journal of Biological Macromolecules (2 papers)Neurosurgery (2 papers)European Journal of Pharmacology (2 papers)Oncology Reports (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Cheng
59 papers receiving 894 citations
Peers
Comparison fields: 5 of 120
- Neurology 165
- Physiology 174
- Cellular and Molecular Neuroscience 118
- Cancer Research 79
- Cognitive Neuroscience 96
Countries citing papers authored by Ming Cheng
This map shows the geographic impact of Ming Cheng'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 Ming Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Cheng more than expected).
Fields of papers citing papers by Ming Cheng
This network shows the impact of papers produced by Ming Cheng. 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 Ming Cheng. The network helps show where Ming Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Cheng, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 136 | |
| 2 | 2016 | 122 | |
| 3 | 2010 | 64 | |
| 4 | 2007 | 62 | |
| 5 | 2016 | 37 | |
| 6 | 2014 | 32 | |
| 7 | The effects of cues on neurons in the basal ganglia in Parkinson's disease | 2012 | 28 |
| 8 | 2021 | 24 | |
| 9 | 2016 | 24 | |
| 10 | 2021 | 21 | |
| 11 | 1999 | 21 | |
| 12 | 2006 | 21 | |
| 13 | 2010 | 20 | |
| 14 | 2017 | 18 | |
| 15 | 2015 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2009 | 17 | |
| 18 | 2015 | 16 | |
| 19 | 2013 | 15 | |
| 20 | 2012 | 14 |
About Ming Cheng
Ming Cheng is a scholar working on Molecular Biology, Genetics, Neurology, Surgery and Physiology, having authored 62 papers that have together received 904 indexed citations. Recurring topics across this work include Neurological disorders and treatments (7 papers), RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (6 papers), Cancer-related molecular mechanisms research (5 papers), Pain Mechanisms and Treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Ion channel regulation and function (4 papers) and Transcranial Magnetic Stimulation Studies (3 papers). The work is most often cited by research in Neurology (165 citations), Physiology (174 citations), Cellular and Molecular Neuroscience (118 citations), Cancer Research (79 citations) and Cognitive Neuroscience (96 citations). Ming Cheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Emad N. Eskandar, Ziv M. Williams, Sridevi V. Sarma, Emery N. Brown, Elizabeth A. Thiele, Philippe Major, Mirela V. Simon, Matthew P. Frosch, Uri T. Eden and Alice W. Flaherty. Their work appears in journals such as Human Gene Therapy, International Journal of Biological Macromolecules, Neurosurgery, European Journal of Pharmacology and Oncology Reports.
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.