Charles D. Chen

1.5k citations
14 papers · 184 · 1 hit paper · h-index 8

Impact in

Papers in

Charles D. Chen

14 papers receiving 183 citations

Charles D. Chen's Hit Papers

Disease staging of Alzheimer’s disease using a CSF-based biomarker model 2024 · 49 citations
490+1Years since publication10203040

Peers

Charles D. Chen
Comparison fields: 5 of 55
  • Psychiatry and Mental health 64
  • Cognitive Neuroscience 74
  • Physiology 71
  • Neurology 21
  • General Decision Sciences 3
Replace Lisa Quenon with:
Lisa Quenon Belgium
Guifeng Zhang China
Leila Sellami Canada
Seqian Wang Canada
Anna Steward Germany
Charisse Somers Belgium
Sinead Gaubert France
Pietro Mattioli Italy
Jiří Cerman Czechia
Lukas Frontzkowski Germany
Charles D. Chen relative to Lisa Quenon Belgium Lisa Quenon's profile →
Citations per field
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Lisa Quenon · 1×
Citations per year

Countries citing papers authored by Charles D. Chen

Since Specialization
Citations

This map shows the geographic impact of Charles D. 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 Charles D. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles D. Chen more than expected).

Fields of papers citing papers by Charles D. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles D. 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 Charles D. Chen. The network helps show where Charles D. Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Charles D. 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 Charles D. Chen Line = papers co-authored together Charles D. Chen links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Disease staging of Alzheimer’s disease using a CSF-based biomarker model
Hit paper breakdown →
202449
2 201833
3 201627
4 202117
5 202215
6 202212
7 20229
8 20209
9 20235
10 20233
11 20242
12 20231
13 20231
14 20221

About Charles D. Chen

Charles D. Chen is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Physiology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 184 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (9 papers), Alzheimer's disease research and treatments (8 papers), Functional Brain Connectivity Studies (7 papers), Medical Imaging Techniques and Applications (3 papers), Memory and Neural Mechanisms (2 papers), Advanced MRI Techniques and Applications (2 papers), Neural dynamics and brain function (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Psychiatry and Mental health (64 citations), Cognitive Neuroscience (74 citations), Physiology (71 citations), Neurology (21 citations) and General Decision Sciences (3 citations). Charles D. Chen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ilya E. Monosov, Kaining Zhang, Noah M. Ledbetter, Tammie L.S. Benzinger, John C. Morris, Brian A. Gordon, Suzanne E. Schindler, Aylin Dincer, David M. Holtzman and Erik Stomrud. Their work appears in journals such as Alzheimer s & Dementia, Science Translational Medicine, Journal of Nuclear Medicine, Current Biology and Alzheimer s Research & Therapy.

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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