Ming‐Kai Chen
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological disorders and treatments
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Neuroscience and Neuropharmacology Research 4
- Neurotransmitter Receptor Influence on Behavior 2
- Oncology 3
- Peptidase Inhibition and Analysis 1
- Co-authors
- Tomás R. Guilarte (5 shared papers)Kwamena E. Baidoo (4 shared papers)Tatyana Verina (2 shared papers)Mohab Alexander (3 shared papers)Dean F. Wong (3 shared papers)Robert J. Adams (2 shared papers)Jennifer L. McGlothan (2 shared papers)Martin G. Pomper (3 shared papers)
- Journals
- Bioconjugate Chemistry (2 papers)Molecular Imaging (1 paper)Life Sciences (1 paper)NeuroToxicology (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Ming‐Kai Chen
8 papers receiving 405 citations
Peers
Comparison fields: 5 of 76
- Neurology 79
- Cellular and Molecular Neuroscience 171
- Neurology 96
- Developmental Neuroscience 18
- Biological Psychiatry 10
Countries citing papers authored by Ming‐Kai Chen
This map shows the geographic impact of Ming‐Kai Chen'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‐Kai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Kai Chen more than expected).
Fields of papers citing papers by Ming‐Kai Chen
This network shows the impact of papers produced by Ming‐Kai Chen. 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‐Kai Chen. The network helps show where Ming‐Kai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Kai Chen, 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 | 2004 | 116 | |
| 2 | 2007 | 95 | |
| 3 | 2005 | 66 | |
| 4 | 2004 | 45 | |
| 5 | 2005 | 31 | |
| 6 | 2006 | 30 | |
| 7 | 2004 | 17 | |
| 8 | 2019 | 12 |
About Ming‐Kai Chen
Ming‐Kai Chen is a scholar working on Cellular and Molecular Neuroscience, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Developmental Neuroscience, having authored 8 papers that have together received 412 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Peptidase Inhibition and Analysis (1 paper), Heavy Metal Exposure and Toxicity (1 paper), Trace Elements in Health (1 paper), Medical Imaging Techniques and Applications (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Neurology (79 citations), Cellular and Molecular Neuroscience (171 citations), Neurology (96 citations), Developmental Neuroscience (18 citations) and Biological Psychiatry (10 citations). Ming‐Kai Chen has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Tomás R. Guilarte, Kwamena E. Baidoo, Tatyana Verina, Mohab Alexander, Dean F. Wong, Robert J. Adams, Jennifer L. McGlothan, Martin G. Pomper, James Robert Brašić and Yun Zhou. Their work appears in journals such as Bioconjugate Chemistry, Molecular Imaging, Life Sciences, NeuroToxicology and Journal of Neurochemistry.
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.