Ming Ming
Impact in
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- Nuclear Receptors and Signaling
- Nerve injury and regeneration
- Neuroscience and Neuropharmacology Research
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- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Photonic and Optical Devices 5
- Optical Systems and Laser Technology 4
- Advancements in Semiconductor Devices and Circuit Design 4
- Co-authors
- Weidong Le (6 shared papers)Dehua Yang (5 shared papers)Xiaolan Fan (5 shared papers)Zhijian Qian (4 shared papers)Sheng Chen (3 shared papers)Xuping Li (3 shared papers)Vitalyi Senyuk (2 shared papers)Giuseppina Nucifora (2 shared papers)
- Journals
- FEBS Letters (3 papers)Journal of Manufacturing Processes (2 papers)Blood (2 papers)Applied Physics Letters (2 papers)Structures (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Ming
47 papers receiving 769 citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 184
- Neurology 46
- Neurology 70
- Developmental Neuroscience 19
- Molecular Biology 291
Countries citing papers authored by Ming Ming
This map shows the geographic impact of Ming Ming'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 Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ming more than expected).
Fields of papers citing papers by Ming Ming
This network shows the impact of papers produced by Ming Ming. 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 Ming. The network helps show where Ming Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ming, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 114 | |
| 2 | 2012 | 74 | |
| 3 | 2013 | 68 | |
| 4 | 2009 | 64 | |
| 5 | 2008 | 49 | |
| 6 | 2012 | 35 | |
| 7 | 2007 | 33 | |
| 8 | 2009 | 32 | |
| 9 | 2008 | 31 | |
| 10 | 2021 | 30 | |
| 11 | 2021 | 27 | |
| 12 | 2009 | 24 | |
| 13 | 2020 | 20 | |
| 14 | 2013 | 15 | |
| 15 | 2006 | 14 | |
| 16 | 2009 | 14 | |
| 17 | 2016 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2010 | 10 |
About Ming Ming
Ming Ming is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 810 indexed citations. Recurring topics across this work include Nanowire Synthesis and Applications (6 papers), Semiconductor Quantum Structures and Devices (5 papers), Photonic and Optical Devices (5 papers), Optical Systems and Laser Technology (4 papers), Structural Behavior of Reinforced Concrete (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Photoreceptor and optogenetics research (4 papers) and Metallurgy and Material Forming (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (184 citations), Neurology (46 citations), Neurology (70 citations), Developmental Neuroscience (19 citations) and Molecular Biology (291 citations). Ming Ming has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weidong Le, Dehua Yang, Xiaolan Fan, Zhijian Qian, Sheng Chen, Xuping Li, Vitalyi Senyuk, Giuseppina Nucifora, Shansuo Zheng and Liang Li. Their work appears in journals such as FEBS Letters, Journal of Manufacturing Processes, Blood, Applied Physics Letters and Structures.
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.