Ming‐Kai Chen

613 citations
11 papers · 404 · 1 hit paper · h-index 5

Impact in

Papers in

Ming‐Kai Chen

11 papers receiving 404 citations

Ming‐Kai Chen's Hit Papers

Synaptic density and cognitive performance in Alzheimer's disease: A PET imaging study with [11C]UCB‐J 2022 · 117 citations
1170+1+2Years since publication255075100

Peers

Ming‐Kai Chen
Comparison fields: 5 of 52
  • Biological Psychiatry 21
  • Neurology 69
  • Cellular and Molecular Neuroscience 152
  • Physiology 197
  • Psychiatry and Mental health 108
Replace Wenzhen Zhao with:
Wenzhen Zhao United States
Hugh H. Bartlett United States
Julia W. McDonald United States
Tyler A. Godek United States
Evan Baum United States
Pradeep Varma United States
Sanne S. Kaalund Denmark
Antoinette O’Connor United Kingdom
María Lacalle‐Aurioles Canada
Carmen Echávarri Spain
Ming‐Kai Chen relative to Wenzhen Zhao United States Wenzhen Zhao's profile →
Citations per field
00.5×1.5×
Wenzhen Zhao · 1×
Citations per year

Countries citing papers authored by Ming‐Kai Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming‐Kai Chen Line = papers co-authored together Ming‐Kai Chen links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2020187
2
Synaptic density and cognitive performance in Alzheimer's disease: A PET imaging study with [11C]UCB‐J
Hit paper breakdown →
2022117
3 202053
4 202122
5 202114
6 20224
7 20202
8 20202
9 20221
10 20201
11 20221

About Ming‐Kai Chen

Ming‐Kai Chen is a scholar working on Cognitive Neuroscience, Physiology, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 404 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Functional Brain Connectivity Studies (6 papers), Medical Imaging Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), MRI in cancer diagnosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Biological Psychiatry (21 citations), Neurology (69 citations), Cellular and Molecular Neuroscience (152 citations), Physiology (197 citations) and Psychiatry and Mental health (108 citations). Ming‐Kai Chen has collaborated with scholars based in United States and China. Frequent co-authors include Mika Naganawa, Richard E. Carson, Yiyun Huang, Nabeel Nabulsi, Takuya Toyonaga, Adam P. Mecca, Ryan S. O’Dell, Christopher H. van Dyck, Amy F.T. Arnsten and Brent C. Vander Wyk. Their work appears in journals such as Alzheimer s & Dementia, Medical Physics and Epilepsia.

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.

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