Ming Cheng
Impact in
- Neurology top 10%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Physiology top 10%
- Tuberous Sclerosis Complex Research
- Pain Mechanisms and Treatments
Papers in
-
- RNA Interference and Gene Delivery 7
- Ion channel regulation and function 4
- Extracellular vesicles in disease 3
- 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)Uri T. Eden (5 shared papers)Matthew P. Frosch (2 shared papers)Mirela V. Simon (2 shared papers)Elizabeth A. Thiele (2 shared papers)
- Journals
- BioMed Research International (2 papers)Human Gene Therapy (2 papers)Neurosurgery (2 papers)International Journal of Biological Macromolecules (2 papers)European Journal of Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Cheng
60 papers receiving 924 citations
Peers
Comparison fields: 5 of 117
- Neurology 140
- Physiology 170
- Cellular and Molecular Neuroscience 104
- Cancer Research 69
- Immunology and Allergy 26
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 | 137 | |
| 2 | 2016 | 128 | |
| 3 | 2010 | 64 | |
| 4 | 2007 | 62 | |
| 5 | 2016 | 39 | |
| 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 | 2021 | 20 | |
| 14 | 2010 | 20 | |
| 15 | 2015 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2025 | 18 | |
| 18 | 2009 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2013 | 15 |
About Ming Cheng
Ming Cheng is a scholar working on Molecular Biology, Genetics, Neurology, Surgery and Cellular and Molecular Neuroscience, having authored 62 papers that have together received 934 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Neurological disorders and treatments (6 papers), Virus-based gene therapy research (6 papers), Pain Mechanisms and Treatments (4 papers), Ion channel regulation and function (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Cancer-related molecular mechanisms research (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Neurology (140 citations), Physiology (170 citations), Cellular and Molecular Neuroscience (104 citations), Cancer Research (69 citations) and Immunology and Allergy (26 citations). Ming Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Emad N. Eskandar, Ziv M. Williams, Sridevi V. Sarma, Emery N. Brown, Uri T. Eden, Matthew P. Frosch, Mirela V. Simon, Elizabeth A. Thiele, Philippe Major and John T. Gale. Their work appears in journals such as BioMed Research International, Human Gene Therapy, Neurosurgery, International Journal of Biological Macromolecules and European Journal of Pharmacology.
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.