Adrian Preda
Impact in
- Psychiatry and Mental health top 0.1%
- Dementia and Cognitive Impairment Research
- Schizophrenia research and treatment
- Cognitive Neuroscience top 0.2%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
-
- Functional Brain Connectivity Studies 96
- Neural dynamics and brain function 34
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- Dementia and Cognitive Impairment Research 43
- Schizophrenia research and treatment 27
- Co-authors
- Daniel H. Mathalon (51 shared papers)Jessica A. Turner (39 shared papers)Vince D. Calhoun (51 shared papers)Steven G. Potkin (43 shared papers)Judith M. Ford (44 shared papers)Ayşenil Belger (33 shared papers)Godfrey D. Pearlson (23 shared papers)Bryon A. Mueller (32 shared papers)
- Journals
- Scientific Reports (24 papers)Neurology (19 papers)Nature Communications (16 papers)Human Brain Mapping (10 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesRomaniaChina
In The Last Decade
Adrian Preda
213 papers receiving 15.7k citations
Adrian Preda's Hit Papers
Peers
Comparison fields: 5 of 189
- Psychiatry and Mental health 4.6k
- Cognitive Neuroscience 5.7k
- Biological Psychiatry 548
- Neurology 1.4k
- Radiology, Nuclear Medicine and Imaging 3.1k
Countries citing papers authored by Adrian Preda
This map shows the geographic impact of Adrian Preda'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 Adrian Preda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Preda more than expected).
Fields of papers citing papers by Adrian Preda
This network shows the impact of papers produced by Adrian Preda. 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 Adrian Preda. The network helps show where Adrian Preda may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian Preda, 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 228 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis Hit paper breakdown → | 2016 | 922 |
| 2 | Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium Hit paper breakdown → | 2015 | 912 |
| 3 | Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia Hit paper breakdown → | 2014 | 857 |
| 4 | Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium Hit paper breakdown → | 2018 | 651 |
| 5 | The genetic architecture of the human cerebral cortex Hit paper breakdown → | 2020 | 581 |
| 6 | Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group Hit paper breakdown → | 2017 | 550 |
| 7 | 2006 | 460 | |
| 8 | Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference Hit paper breakdown → | 2018 | 393 |
| 9 | Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease Hit paper breakdown → | 2020 | 378 |
| 10 | Predicting Alzheimer’s disease progression using multi-modal deep learning approach Hit paper breakdown → | 2019 | 307 |
| 11 | 2018 | 305 | |
| 12 | 2015 | 301 | |
| 13 | 2015 | 291 | |
| 14 | 2008 | 286 | |
| 15 | 2016 | 258 | |
| 16 | Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease Hit paper breakdown → | 2020 | 258 |
| 17 | 2010 | 222 | |
| 18 | 2010 | 211 | |
| 19 | 2009 | 193 | |
| 20 | 2012 | 191 |
About Adrian Preda
Adrian Preda is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Physiology and Experimental and Cognitive Psychology, having authored 228 papers that have together received 15.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (96 papers), Advanced Neuroimaging Techniques and Applications (46 papers), Dementia and Cognitive Impairment Research (43 papers), Neural dynamics and brain function (34 papers), Alzheimer's disease research and treatments (29 papers), Schizophrenia research and treatment (27 papers), Advanced MRI Techniques and Applications (18 papers) and Mental Health Research Topics (12 papers). The work is most often cited by research in Psychiatry and Mental health (4.6k citations), Cognitive Neuroscience (5.7k citations), Biological Psychiatry (548 citations), Neurology (1.4k citations) and Radiology, Nuclear Medicine and Imaging (3.1k citations). Adrian Preda has collaborated with scholars based in United States, Romania and China. Frequent co-authors include Daniel H. Mathalon, Jessica A. Turner, Vince D. Calhoun, Steven G. Potkin, Judith M. Ford, Ayşenil Belger, Godfrey D. Pearlson, Bryon A. Mueller, Sarah C McEwen and Theo G.M. van Erp. Their work appears in journals such as Scientific Reports, Neurology, Nature Communications, Human Brain Mapping and Proceedings of the National Academy of Sciences.
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.