Ming‐He Cheng
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Eicosanoids and Hypertension Pharmacology 1
- Traditional and Medicinal Uses of Annonaceae 1
- Co-authors
- Chao‐Yu Miao (5 shared papers)Tian‐Ying Xu (3 shared papers)Zhi Wang (2 shared papers)Shu‐Na Wang (2 shared papers)Wenlin Li (1 shared paper)Ding‐Feng Su (2 shared papers)Chunchun Wei (1 shared paper)Pei Wang (1 shared paper)
- Journals
- Acta Pharmacologica Sinica (3 papers)CNS Neuroscience & Therapeutics (2 papers)Molecules (1 paper)Frontiers in Immunology (1 paper)British Journal of Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ming‐He Cheng
10 papers receiving 438 citations
Peers
Comparison fields: 5 of 70
- Developmental Neuroscience 51
- Neurology 78
- Geriatrics and Gerontology 22
- Biological Psychiatry 12
- Physiology 24
Countries citing papers authored by Ming‐He Cheng
This map shows the geographic impact of Ming‐He 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‐He 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‐He Cheng more than expected).
Fields of papers citing papers by Ming‐He Cheng
This network shows the impact of papers produced by Ming‐He 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‐He Cheng. The network helps show where Ming‐He Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐He 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 96 | |
| 2 | 2017 | 73 | |
| 3 | 2017 | 66 | |
| 4 | 2020 | 57 | |
| 5 | 2020 | 43 | |
| 6 | 2016 | 39 | |
| 7 | 2013 | 26 | |
| 8 | 2016 | 23 | |
| 9 | Inhibitors of 5-lipoxygenase inhibit expression of intercellular adhesion molecule-1 in human melanoma cells. | 2004 | 12 |
| 10 | 2021 | 7 |
About Ming‐He Cheng
Ming‐He Cheng is a scholar working on Biochemistry, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Clinical Biochemistry, having authored 10 papers that have together received 442 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (2 papers), Adenosine and Purinergic Signaling (2 papers), Advanced Glycation End Products research (2 papers), Renin-Angiotensin System Studies (2 papers), Autophagy in Disease and Therapy (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper) and Berberine and alkaloids research (1 paper). The work is most often cited by research in Developmental Neuroscience (51 citations), Neurology (78 citations), Geriatrics and Gerontology (22 citations), Biological Psychiatry (12 citations) and Physiology (24 citations). Ming‐He Cheng has collaborated with scholars based in China, United States and France. Frequent co-authors include Chao‐Yu Miao, Tian‐Ying Xu, Zhi Wang, Shu‐Na Wang, Wenlin Li, Ding‐Feng Su, Chunchun Wei, Pei Wang, Guoqiang Li and Si‐Li Zheng. Their work appears in journals such as Acta Pharmacologica Sinica, CNS Neuroscience & Therapeutics, Molecules, Frontiers in Immunology and British 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.