Charles D. Chen

1.5k total citations · 1 hit paper
14 papers, 184 citations indexed

About

Charles D. Chen is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Charles D. Chen has authored 14 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 8 papers in Cognitive Neuroscience and 8 papers in Physiology. Recurrent topics in Charles D. Chen's work include Dementia and Cognitive Impairment Research (9 papers), Alzheimer's disease research and treatments (8 papers) and Functional Brain Connectivity Studies (7 papers). Charles D. Chen is often cited by papers focused on Dementia and Cognitive Impairment Research (9 papers), Alzheimer's disease research and treatments (8 papers) and Functional Brain Connectivity Studies (7 papers). Charles D. Chen collaborates with scholars based in United States, Germany and United Kingdom. Charles D. Chen's 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 Oskar Hansson and has published in prestigious journals such as Journal of Neuroscience, Neurology and Current Biology.

In The Last Decade

Charles D. Chen

14 papers receiving 183 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Disease staging of Alzheimer’s disease using a CSF-based biomarker model

2024 49 citations Gemma Salvadó, Kanta Horie et al. Nature Aging profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Charles D. Chen United States	8	74	71	64	38	26	14	184
Lisa Quenon Belgium	9	93 1.3×	96 1.4×	98 1.5×	25 0.7×	16 0.6×	25	215
Jiří Cerman Czechia	7	63 0.9×	72 1.0×	93 1.5×	21 0.6×	25 1.0×	10	171
Andrés Damián Uruguay	7	52 0.7×	43 0.6×	48 0.8×	25 0.7×	26 1.0×	15	185
Sanna-Kaisa Herukka Finland	9	87 1.2×	116 1.6×	115 1.8×	40 1.1×	31 1.2×	10	258
Lukas Frontzkowski Germany	5	99 1.3×	110 1.5×	83 1.3×	20 0.5×	17 0.7×	16	190
Charisse Somers Belgium	7	55 0.7×	116 1.6×	135 2.1×	31 0.8×	12 0.5×	7	220
Leila Sellami Canada	9	47 0.6×	74 1.0×	83 1.3×	51 1.3×	36 1.4×	21	211
Gustav Mårtensson Sweden	9	88 1.2×	57 0.8×	81 1.3×	18 0.5×	14 0.5×	14	189
Nidhi S. Mundada United States	7	65 0.9×	84 1.2×	81 1.3×	15 0.4×	9 0.3×	15	182
Cecilia Boccalini Italy	10	63 0.9×	97 1.4×	79 1.2×	23 0.6×	28 1.1×	34	230

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-authorship network of co-authors of Charles D. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Charles D. Chen. A scholar is included among the top collaborators of Charles D. Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles D. Chen. Charles D. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Farrell, Michelle, Jana Becker, Julie C. Price, et al.. (2024). Spatial extent as a sensitive amyloid‐PET metric in preclinical Alzheimer's disease. Alzheimer s & Dementia. 20(8). 5434–5449. 2 indexed citations

Salvadó, Gemma, Kanta Horie, Nicolas R. Barthélemy, et al.. (2024). Disease staging of Alzheimer’s disease using a CSF-based biomarker model. Nature Aging. 4(5). 694–708. 49 indexed citations breakdown →

McCullough, Austin, Brian A. Gordon, Charles D. Chen, et al.. (2023). Evaluating Regional Importance for Tau Spatial Spread in Predicting Cognitive Impairment with Machine Learning. Alzheimer s & Dementia. 19(S24). 1 indexed citations

Rahmani, Farzaneh, Cyrus A. Raji, Wei Wang, et al.. (2023). Validity Assessment of an Automated Brain Morphometry Tool for Patients with De Novo Memory Symptoms. American Journal of Neuroradiology. 44(3). 261–267. 5 indexed citations

Salvadó, Gemma, Kanta Horie, Nicolas R. Barthélemy, et al.. (2023). Novel CSF tau biomarkers can be used for disease staging of sporadic Alzheimer’s. Alzheimer s & Dementia. 19(S14). 1 indexed citations

Chen, Charles D., Maria Rosana Ponisio, Jordan Lang, et al.. (2023). Comparing Tau PET Visual Interpretation with Tau PET Quantification, Cerebrospinal Fluid Biomarkers, and Longitudinal Clinical Assessment. Journal of Alzheimer s Disease. 93(2). 765–777. 3 indexed citations

Dincer, Aylin, Charles D. Chen, Nicole S. McKay, et al.. (2022). APOE ε4 genotype, amyloid-β, and sex interact to predict tau in regions of high APOE mRNA expression. Science Translational Medicine. 14(671). eabl7646–eabl7646. 15 indexed citations

Flores, Shaney, Charles D. Chen, Yi Su, et al.. (2022). Investigating Tau and Amyloid Tracer Skull Binding in Studies of Alzheimer Disease. Journal of Nuclear Medicine. 64(2). 287–293. 12 indexed citations

Rahmani, Farzaneh, Charles D. Chen, Nicole S. McKay, et al.. (2022). Intracranial internal carotid artery calcification is not predictive of future cognitive decline. Alzheimer s Research & Therapy. 14(1). 32–32. 9 indexed citations

10.

Flores, Shaney, Charles D. Chen, Yi Su, et al.. (2022). Characteristics and quantitative impact of off‐target skull binding in tau PET studies of Alzheimer disease. Alzheimer s & Dementia. 18(S5). 1 indexed citations

11.

Boerwinkle, Anna H., Julie K. Wisch, Charles D. Chen, et al.. (2021). Temporal Correlation of CSF and Neuroimaging in the Amyloid-Tau-Neurodegeneration Model of Alzheimer Disease. Neurology. 97(1). e76–e87. 17 indexed citations

12.

Chen, Charles D., Timothy R. Holden, Brian A. Gordon, et al.. (2020). Ante‐ and postmortem tau in autosomal dominant and late‐onset Alzheimer’s disease. Annals of Clinical and Translational Neurology. 7(12). 2475–2480. 9 indexed citations

13.

Zhang, Kaining, Charles D. Chen, & Ilya E. Monosov. (2018). Novelty, Salience, and Surprise Timing Are Signaled by Neurons in the Basal Forebrain. Current Biology. 29(1). 134–142.e3. 33 indexed citations

14.

Ledbetter, Noah M., Charles D. Chen, & Ilya E. Monosov. (2016). Multiple Mechanisms for Processing Reward Uncertainty in the Primate Basal Forebrain. Journal of Neuroscience. 36(30). 7852–7864. 27 indexed citations

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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