Daniel S. Marcus
Impact in
- Psychiatry and Mental health top 0.2%
- Dementia and Cognitive Impairment Research
- Cognitive Neuroscience top 0.5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
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- Advanced Neuroimaging Techniques and Applications 20
- Radiomics and Machine Learning in Medical Imaging 15
- Medical Imaging Techniques and Applications 12
- Advanced MRI Techniques and Applications 10
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- Dementia and Cognitive Impairment Research 34
- Co-authors
- Randy Lee Buckner (4 shared papers)John C. Morris (13 shared papers)John G. Csernansky (2 shared papers)Tracy H. Wang (1 shared paper)Anthony F. Fotenos (2 shared papers)Abraham Z. Snyder (8 shared papers)Denise M Head (1 shared paper)Timothy R. Olsen (5 shared papers)
- Journals
- Alzheimer s & Dementia (14 papers)NeuroImage (8 papers)PLoS ONE (6 papers)Neurology (6 papers)Nature Communications (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel S. Marcus
106 papers receiving 14.3k citations
Daniel S. Marcus's Hit Papers
Peers
Comparison fields: 5 of 186
- Psychiatry and Mental health 3.7k
- Cognitive Neuroscience 4.2k
- Neurology 1.6k
- Radiology, Nuclear Medicine and Imaging 3.4k
- Physiology 3.6k
Countries citing papers authored by Daniel S. Marcus
This map shows the geographic impact of Daniel S. Marcus'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 Daniel S. Marcus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Marcus more than expected).
Fields of papers citing papers by Daniel S. Marcus
This network shows the impact of papers produced by Daniel S. Marcus. 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 Daniel S. Marcus. The network helps show where Daniel S. Marcus may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Marcus, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical and Biomarker Changes in Dominantly Inherited Alzheimer's Disease Hit paper breakdown → | 2012 | 3086 |
| 2 | The Human Connectome Project: A data acquisition perspective Hit paper breakdown → | 2012 | 1823 |
| 3 | Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults Hit paper breakdown → | 2007 | 1558 |
| 4 | A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume Hit paper breakdown → | 2004 | 1104 |
| 5 | 2009 | 468 | |
| 6 | Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study Hit paper breakdown → | 2018 | 453 |
| 7 | White matter hyperintensities are a core feature of Alzheimer's disease: Evidence from the dominantly inherited Alzheimer network Hit paper breakdown → | 2016 | 443 |
| 8 | Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects Hit paper breakdown → | 2018 | 378 |
| 9 | 2014 | 355 | |
| 10 | 2007 | 354 | |
| 11 | 2013 | 342 | |
| 12 | 2013 | 329 | |
| 13 | 2009 | 297 | |
| 14 | Federated learning enables big data for rare cancer boundary detection Hit paper breakdown → | 2022 | 251 |
| 15 | 2018 | 248 | |
| 16 | 2014 | 207 | |
| 17 | 2013 | 198 | |
| 18 | 2012 | 183 | |
| 19 | 2013 | 149 | |
| 20 | 2019 | 145 |
About Daniel S. Marcus
Daniel S. Marcus is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Cognitive Neuroscience, Neurology and Physiology, having authored 112 papers that have together received 14.6k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (34 papers), Functional Brain Connectivity Studies (32 papers), Advanced Neuroimaging Techniques and Applications (20 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Medical Imaging Techniques and Applications (12 papers), Alzheimer's disease research and treatments (12 papers), Advanced MRI Techniques and Applications (10 papers) and Glioma Diagnosis and Treatment (7 papers). The work is most often cited by research in Psychiatry and Mental health (3.7k citations), Cognitive Neuroscience (4.2k citations), Neurology (1.6k citations), Radiology, Nuclear Medicine and Imaging (3.4k citations) and Physiology (3.6k citations). Daniel S. Marcus has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Randy Lee Buckner, John C. Morris, John G. Csernansky, Tracy H. Wang, Anthony F. Fotenos, Abraham Z. Snyder, Denise M Head, Timothy R. Olsen, Mikhail V. Milchenko and Mark A. Mintun. Their work appears in journals such as Alzheimer s & Dementia, NeuroImage, PLoS ONE, Neurology and Nature Communications.
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.