Kewei Chen
Impact in
- Psychiatry and Mental health top 0.05%
- Dementia and Cognitive Impairment Research
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Dementia and Cognitive Impairment Research 246
-
- Functional Brain Connectivity Studies 153
- Neural dynamics and brain function 24
- Co-authors
- Eric M. Reiman (239 shared papers)Daniel J. Bandy (33 shared papers)Richard J. Caselli (50 shared papers)Gene E. Alexander (49 shared papers)Adam Fleisher (58 shared papers)Pietro Antonio Tataranni (13 shared papers)Dan Bandy (18 shared papers)David Osborne (5 shared papers)
- Journals
- Alzheimer s & Dementia (70 papers)NeuroImage (31 papers)Journal of Alzheimer s Disease (30 papers)Neurology (21 papers)JAMA Neurology (20 papers)
- Partner nations
- United StatesChinaColombia
In The Last Decade
Kewei Chen
658 papers receiving 36.4k citations
Kewei Chen's Hit Papers
Peers
Comparison fields: 5 of 214
- Psychiatry and Mental health 10.9k
- Neurology 3.8k
- Physiology 11.5k
- Cognitive Neuroscience 8.2k
- Biological Psychiatry 709
Countries citing papers authored by Kewei Chen
This map shows the geographic impact of Kewei 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 Kewei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kewei Chen more than expected).
Fields of papers citing papers by Kewei Chen
This network shows the impact of papers produced by Kewei 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 Kewei Chen. The network helps show where Kewei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kewei 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
Showing the 20 most-cited of 679 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prevalence of Cerebral Amyloid Pathology in Persons Without Dementia Hit paper breakdown → | 2015 | 1300 |
| 2 | Preclinical Evidence of Alzheimer's Disease in Persons Homozygous for the ε4 Allele for Apolipoprotein E Hit paper breakdown → | 1996 | 1172 |
| 3 | Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis Hit paper breakdown → | 2016 | 922 |
| 4 | Thermosensory activation of insular cortex Hit paper breakdown → | 2000 | 862 |
| 5 | Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia Hit paper breakdown → | 2003 | 853 |
| 6 | Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease Hit paper breakdown → | 2009 | 682 |
| 7 | Neuroanatomical correlates of externally and internally generated human emotion Hit paper breakdown → | 1997 | 634 |
| 8 | Neural correlates of heart rate variability during emotion Hit paper breakdown → | 2008 | 554 |
| 9 | 1999 | 524 | |
| 10 | The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core Hit paper breakdown → | 2010 | 469 |
| 11 | 2006 | 461 | |
| 12 | 1993 | 441 | |
| 13 | Resistance to autosomal dominant Alzheimer’s disease in an APOE3 Christchurch homozygote: a case report Hit paper breakdown → | 2019 | 427 |
| 14 | Brain imaging and fluid biomarker analysis in young adults at genetic risk for autosomal dominant Alzheimer's disease in the presenilin 1 E280A kindred: a case-control study Hit paper breakdown → | 2012 | 426 |
| 15 | 2002 | 414 | |
| 16 | 2001 | 407 | |
| 17 | Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference Hit paper breakdown → | 2018 | 393 |
| 18 | Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease Hit paper breakdown → | 2020 | 378 |
| 19 | 2005 | 343 | |
| 20 | Predicting Alzheimer’s disease progression using multi-modal deep learning approach Hit paper breakdown → | 2019 | 307 |
About Kewei Chen
Kewei Chen is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Physiology and Neurology, having authored 679 papers that have together received 37.4k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (246 papers), Functional Brain Connectivity Studies (153 papers), Alzheimer's disease research and treatments (127 papers), Advanced Neuroimaging Techniques and Applications (91 papers), Advanced MRI Techniques and Applications (42 papers), Medical Imaging Techniques and Applications (41 papers), Neurological Disease Mechanisms and Treatments (26 papers) and Neural dynamics and brain function (24 papers). The work is most often cited by research in Psychiatry and Mental health (10.9k citations), Neurology (3.8k citations), Physiology (11.5k citations), Cognitive Neuroscience (8.2k citations) and Biological Psychiatry (709 citations). Kewei Chen has collaborated with scholars based in United States, China and Colombia. Frequent co-authors include Eric M. Reiman, Daniel J. Bandy, Richard J. Caselli, Gene E. Alexander, Adam Fleisher, Pietro Antonio Tataranni, Dan Bandy, David Osborne, Arline D. Salbe and Lang Sheng Yun. Their work appears in journals such as Alzheimer s & Dementia, NeuroImage, Journal of Alzheimer s Disease, Neurology and JAMA Neurology.
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.