Michael Cheng
Impact in
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- Mast cells and histamine
Papers in
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- Single-cell and spatial transcriptomics 1
- Lipid Membrane Structure and Behavior 1
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- Cerebrovascular and Carotid Artery Diseases 2
- Co-authors
- Donald E. Woods (1 shared paper)H C Krivan (1 shared paper)Clifford A. Lingwood (1 shared paper)Nadia Zayed (1 shared paper)Michael H. Wang (1 shared paper)Chan Gao (1 shared paper)Aldons J. Lusis (2 shared papers)Xia Yang (3 shared papers)
- Journals
- Alzheimer s & Dementia (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Current Atherosclerosis Reports (1 paper)The American Journal of Cardiology (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Michael Cheng
7 papers receiving 66 citations
Peers
Comparison fields: 5 of 40
- Immunology 18
- Endocrinology 4
- Genetics 7
- Orthopedics and Sports Medicine 5
- Immunology and Allergy 3
Countries citing papers authored by Michael Cheng
This map shows the geographic impact of Michael 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 Michael Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Cheng more than expected).
Fields of papers citing papers by Michael Cheng
This network shows the impact of papers produced by Michael 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 Michael Cheng. The network helps show where Michael Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael 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 | 1991 | 28 | |
| 2 | 2014 | 23 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 3 | |
| 5 | 2018 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 0 |
About Michael Cheng
Michael Cheng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Neurology, Surgery and Neurology, having authored 8 papers that have together received 67 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (2 papers), Single-cell and spatial transcriptomics (1 paper), Mast cells and histamine (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Lipid Membrane Structure and Behavior (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Immunology (18 citations), Endocrinology (4 citations), Genetics (7 citations), Orthopedics and Sports Medicine (5 citations) and Immunology and Allergy (3 citations). Michael Cheng has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Donald E. Woods, H C Krivan, Clifford A. Lingwood, Nadia Zayed, Michael H. Wang, Chan Gao, Aldons J. Lusis, Xia Yang, Jenny Cheng and Hua Cai. Their work appears in journals such as Alzheimer s & Dementia, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Arteriosclerosis Thrombosis and Vascular Biology, Current Atherosclerosis Reports and The American Journal of Cardiology.
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.