Ramon Casanova

5.1k total citations · 1 hit paper
91 papers, 3.1k citations indexed

About

Ramon Casanova is a scholar working on Psychiatry and Mental health, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ramon Casanova has authored 91 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Psychiatry and Mental health, 21 papers in Physiology and 17 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ramon Casanova's work include Dementia and Cognitive Impairment Research (24 papers), Health, Environment, Cognitive Aging (10 papers) and Functional Brain Connectivity Studies (10 papers). Ramon Casanova is often cited by papers focused on Dementia and Cognitive Impairment Research (24 papers), Health, Environment, Cognitive Aging (10 papers) and Functional Brain Connectivity Studies (10 papers). Ramon Casanova collaborates with scholars based in United States, United Kingdom and Sweden. Ramon Casanova's co-authors include Joseph A. Maldjian, Mark A. Espeland, Paul J. Laurienti, Jonathan H. Burdette, Santiago Saldana, Sudhir Varma, Madhav Thambisetty, Yang An, Vijay R. Varma and Juan C. Troncoso and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ramon Casanova

86 papers receiving 3.0k citations

Hit Papers

Evidence for brain glucose dysregulation in Alzheimer's d... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramon Casanova United States 26 930 634 613 535 495 91 3.1k
Erin M. Jonaitis United States 28 1.3k 1.4× 387 0.6× 495 0.8× 266 0.5× 1.4k 2.8× 111 2.9k
Eric D. Vidoni United States 33 1.5k 1.6× 414 0.7× 791 1.3× 400 0.7× 1.3k 2.7× 174 3.9k
Carlos Augusto Pasqualucci Brazil 31 924 1.0× 724 1.1× 329 0.5× 283 0.5× 701 1.4× 142 3.9k
Timothy J. Hohman United States 31 1.1k 1.2× 613 1.0× 522 0.9× 301 0.6× 1.1k 2.2× 174 3.2k
Abhay Moghekar United States 37 1.3k 1.4× 604 1.0× 567 0.9× 478 0.9× 1.4k 2.8× 178 4.0k
Cyrus A. Raji United States 29 1.1k 1.2× 245 0.4× 666 1.1× 581 1.1× 938 1.9× 103 3.5k
Ta‐Fu Chen Taiwan 33 1.3k 1.4× 533 0.8× 432 0.7× 241 0.5× 1.4k 2.8× 139 3.4k
Min Soo Byun South Korea 31 887 1.0× 422 0.7× 784 1.3× 319 0.6× 1.0k 2.1× 148 2.9k
Claudia L. Satizábal United States 30 971 1.0× 345 0.5× 339 0.6× 233 0.4× 1.0k 2.0× 122 3.4k
Xue Hua United States 33 1.4k 1.5× 732 1.2× 1.2k 2.0× 1.1k 2.1× 1.4k 2.8× 94 4.3k

Countries citing papers authored by Ramon Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Ramon Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramon Casanova

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

All Works

20 of 20 papers shown
1.
Zhang, Lingxiao, Chris Ho Ching Yeung, Aladdin H. Shadyab, et al.. (2025). Metabolomic biomarkers of rest-activity rhythms in older women: results from the Women’s Health Initiative study. SLEEP. 49(1). 1 indexed citations
2.
Sedaghat, Sanaz, Rob F. Walker, Jialing Liu, et al.. (2025). Proteomics-based aging clocks in midlife or late-life and their associated risk of dementia. Communications Medicine. 5(1). 353–353.
3.
Jaeger, Byron C., et al.. (2025). Development and Validation of a Diabetes Risk Prediction Model With Individualized Preventive Intervention Effects. The Journal of Clinical Endocrinology & Metabolism. 110(12). e4023–e4029.
4.
Stafford, Jeanette M., et al.. (2025). Prediabetes Subgroups, Type 2 Diabetes Risk, and Differential Effects of Preventive Interventions. The Journal of Clinical Endocrinology & Metabolism. 111(1). e41–e48. 1 indexed citations
5.
Rapp, Stephen R., Kathleen M. Hayden, Mark A. Espeland, et al.. (2024). Plasma oxysterols are associated with serum lipids and dementia risk in older women. Alzheimer s & Dementia. 20(5). 3696–3704. 9 indexed citations
6.
Hughes, Timothy M., Haiying Chen, Christopher L. Schaich, et al.. (2024). Subclinical vascular composites predict clinical cardiovascular disease, stroke, and dementia: The Multi-Ethnic Study of Atherosclerosis (MESA). Atherosclerosis. 392. 117521–117521. 6 indexed citations
7.
Ostovaneh, Mohammad R., Timothy M. Hughes, Colin O. Wu, et al.. (2024). Deep phenotyping of dementia in a multi-ethnic cardiovascular cohort: The Multi-Ethnic Study of Atherosclerosis (MESA). PLoS ONE. 19(4). e0298952–e0298952.
8.
Walker, Keenan A., Yang An, Abhay Moghekar, et al.. (2024). Proteomic analysis of APOEε4 carriers implicates lipid metabolism, complement and lymphocyte signaling in cognitive resilience. Molecular Neurodegeneration. 19(1). 81–81. 4 indexed citations
10.
Casanova, Ramon, et al.. (2021). Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques. Frontiers in Neuroinformatics. 15. 740143–740143. 8 indexed citations
11.
Varma, Vijay R., Anup Mammen Oommen, Sudhir Varma, et al.. (2018). Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study. PLoS Medicine. 15(1). e1002482–e1002482. 344 indexed citations
12.
Beavers, Kristen M., Rebecca H. Neiberg, Karen Johnson, et al.. (2018). Impact of Body Weight Dynamics Following Intentional Weight Loss on Fracture Risk: Results from The Action for Health in Diabetes Study. JBMR Plus. 3(5). e10086–e10086. 5 indexed citations
13.
Casanova, Ramon, Ryan Barnard, Sarah A. Gaussoin, et al.. (2018). Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases. NeuroImage. 183. 401–411. 37 indexed citations
14.
Corbett, Duane B., Amal A. Wanigatunga, Vincenzo Valiani, et al.. (2017). Metabolic costs of daily activity in older adults (Chores XL) study: Design and methods. Contemporary Clinical Trials Communications. 6. 1–8. 11 indexed citations
15.
Casanova, Ramon, Santiago Saldana, Sean L. Simpson, et al.. (2016). Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning. PLoS ONE. 11(10). e0163942–e0163942. 45 indexed citations
16.
Joseph, Joshua J., Justin B. Echouffo‐Tcheugui, Rita R. Kalyani, et al.. (2016). Aldosterone, Renin, and Diabetes Mellitus in African Americans: The Jackson Heart Study. The Journal of Clinical Endocrinology & Metabolism. 101(4). 1770–1778. 42 indexed citations
17.
Casanova, Ramon, Santiago Saldana, Emily Y. Chew, et al.. (2014). Application of Random Forests Methods to Diabetic Retinopathy Classification Analyses. PLoS ONE. 9(6). e98587–e98587. 132 indexed citations
19.
Hairston, W. David, Donald A. Hodges, Ramon Casanova, et al.. (2008). Closing the mind's eye: deactivation of visual cortex related to auditory task difficulty. Neuroreport. 19(2). 151–154. 42 indexed citations
20.
Casanova, Ramon, Srikanth Ryali, Paul J. Laurienti, et al.. (2006). Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. NeuroImage. 34(1). 137–143. 264 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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