Rodrigo Perea

753 total citations
19 papers, 558 citations indexed

About

Rodrigo Perea is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Rodrigo Perea has authored 19 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Physiology and 6 papers in Cognitive Neuroscience. Recurrent topics in Rodrigo Perea's work include Advanced Neuroimaging Techniques and Applications (7 papers), Alzheimer's disease research and treatments (5 papers) and Functional Brain Connectivity Studies (5 papers). Rodrigo Perea is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (7 papers), Alzheimer's disease research and treatments (5 papers) and Functional Brain Connectivity Studies (5 papers). Rodrigo Perea collaborates with scholars based in United States, Spain and Canada. Rodrigo Perea's co-authors include Robyn A. Honea, Trey Hedden, Reisa A. Sperling, Keith A. Johnson, Jeffrey M. Burns, Dorene M. Rentz, Kathryn V. Papp, Heidi I.L. Jacobs, Aaron P. Schultz and Jorge Sepulcre and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Neurology.

In The Last Decade

Rodrigo Perea

19 papers receiving 554 citations

Peers

Rodrigo Perea

PHYSI

PMH

RNMI

NEURO

Mu-En Liu Taiwan

Hyo Jung Choi South Korea

Sona Babakchanian United States

Tracey Pepple United Kingdom

András Király Hungary

Grégory Operto Spain

Kathleen Tingus United States

James D. Stefaniak United Kingdom

Mekala R. Raman United States

Charles De Carli United States

Mu-En Liu Taiwan

Rodrigo Perea

205 ×0.9

PHYSI

140 ×0.8

PMH

388 ×2.4

109 ×0.8

RNMI

68 ×0.7

NEURO

Citations per year, relative to Rodrigo Perea Rodrigo Perea (= 1×) peers Mu-En Liu

Countries citing papers authored by Rodrigo Perea

Since Specialization

Citations

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

Fields of papers citing papers by Rodrigo Perea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodrigo Perea. 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 Rodrigo Perea. The network helps show where Rodrigo Perea may publish in the future.

Co-authorship network of co-authors of Rodrigo Perea

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Perea. A scholar is included among the top collaborators of Rodrigo Perea 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 Rodrigo Perea. Rodrigo Perea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Diago, Carlos Antonio Amado, et al.. (2024). Monocyte distribution width (MDW) and DECAF: two simple tools to determine the prognosis of severe COPD exacerbation. Internal and Emergency Medicine. 19(6). 1567–1575. 2 indexed citations

Gafson, Arie, Dawei Liu, Enzo Battistella, et al.. (2022). Machine Learning-Based Prediction of New Multiple Sclerosis Lesion Formation Using Radiomic Features from Pre-Lesion Normal Appearing White Matter (S26.009). Neurology. 98(18_supplement). 1 indexed citations

Rabin, Jennifer S., Rodrigo Perea, Rachel F. Buckley, et al.. (2019). Synergism between fornix microstructure and beta amyloid accelerates memory decline in clinically normal older adults. Neurobiology of Aging. 81. 38–46. 18 indexed citations

Perea, Rodrigo, et al.. (2018). Connectome-derived diffusion characteristics of the fornix in Alzheimer's disease. NeuroImage Clinical. 19. 331–342. 14 indexed citations

Jacobs, Heidi I.L., Trey Hedden, Aaron P. Schultz, et al.. (2018). Structural tract alterations predict downstream tau accumulation in amyloid-positive older individuals. Nature Neuroscience. 21(3). 424–431. 178 indexed citations

Rabin, Jennifer S., Rodrigo Perea, Rachel F. Buckley, et al.. (2018). Global White Matter Diffusion Characteristics Predict Longitudinal Cognitive Change Independently of Amyloid Status in Clinically Normal Older Adults. Cerebral Cortex. 29(3). 1251–1262. 41 indexed citations

Honea, Robyn A., Amanda N. Szabo‐Reed, Rebecca J. Lepping, et al.. (2016). Voxel‐based morphometry reveals brain gray matter volume changes in successful dieters. Obesity. 24(9). 1842–1848. 28 indexed citations

Gupta, Aditi, Rebecca J. Lepping, Alan S.L. Yu, et al.. (2016). Cognitive Function and White Matter Changes Associated with Renal Transplantation. American Journal of Nephrology. 43(1). 50–57. 46 indexed citations

Jacobs, Heidi I.L., Aaron P. Schultz, Rebecca E. Amariglio, et al.. (2016). IC‐P‐185: The Effect of Tract‐Specific Loss of White Matter Connectivity on Cognitive Decline in Healthy Older Individuals Depends on Entorhinal T807 Binding. Alzheimer s & Dementia. 12(7S_Part_3). 2 indexed citations

10.

Honea, Robyn A., et al.. (2015). IC‐P‐087: Healthy individuals with a family history of Alzheimer's disease have increased default mode network activity. Alzheimer s & Dementia. 11(7S_Part_2). 9 indexed citations

11.

Mahnken, Jonathan D., et al.. (2015). Modeling Percentile Rank of Cardiorespiratory Fitness Across the Lifespan. Cardiopulmonary Physical Therapy Journal. 26(4). 108–113. 11 indexed citations

12.

Perea, Rodrigo, et al.. (2015). Cardiorespiratory fitness and white matter integrity in Alzheimer’s disease. Brain Imaging and Behavior. 10(3). 660–668. 19 indexed citations

13.

Perea, Rodrigo, et al.. (2015). P1‐197: The effects of aerobic exercise in Alzheimer's disease thalamo‐cortical connections using diffusion tensor imaging. Alzheimer s & Dementia. 11(7S_Part_9). 1 indexed citations

14.

Morris, Jill K., Eric D. Vidoni, Rodrigo Perea, et al.. (2014). Insulin resistance and gray matter volume in neurodegenerative disease. Neuroscience. 270. 139–147. 68 indexed citations

15.

Honea, Robyn A., Eric D. Vidoni, Jill K. Morris, et al.. (2014). O5‐06‐04: AEROBIC EXERCISE REDUCES HIPPOCAMPAL ATROPHY IN INDIVIDUALS WITH EARLY ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 10(4S_Part_5). 1 indexed citations

16.

Perea, Rodrigo. (2013). A Comparative White Matter Study with Parkinson′s disease,Parkinson′s Disease with Dementia and Alzheimer′s Disease. Journal of Alzheimer’s Disease & Parkinsonism. 3(3). 123–123. 23 indexed citations

17.

Honea, Robyn A., Carlos Cruchaga, Rodrigo Perea, et al.. (2013). Characterizing the Role of Brain Derived Neurotrophic Factor Genetic Variation in Alzheimer’s Disease Neurodegeneration. PLoS ONE. 8(9). e76001–e76001. 47 indexed citations

18.

Honea, Robyn A., Laura M. Holsen, Rebecca J. Lepping, et al.. (2012). The neuroanatomy of genetic subtype differences in Prader–Willi syndrome. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 159B(2). 243–253. 42 indexed citations

19.

Perea, Rodrigo, et al.. (2000). Schwannoma suprarrenal benigno. Medicina Clínica. 115(13). 518–519. 7 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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