Ana Barabash

3.8k total citations
84 papers, 1.9k citations indexed

About

Ana Barabash is a scholar working on Physiology, Psychiatry and Mental health and Surgery. According to data from OpenAlex, Ana Barabash has authored 84 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 19 papers in Psychiatry and Mental health and 17 papers in Surgery. Recurrent topics in Ana Barabash's work include Bariatric Surgery and Outcomes (15 papers), Gestational Diabetes Research and Management (13 papers) and Functional Brain Connectivity Studies (13 papers). Ana Barabash is often cited by papers focused on Bariatric Surgery and Outcomes (15 papers), Gestational Diabetes Research and Management (13 papers) and Functional Brain Connectivity Studies (13 papers). Ana Barabash collaborates with scholars based in Spain, Australia and United States. Ana Barabash's co-authors include Miguel A. Rubio, Lucio Cabrerizo, José A. Cabranes, Andrés Sánchez-Pernaute, Eva María Sánchez‐Morla, Inés Ancín, Alberto Marcos, Antonio Torres, José Luis Santos and Antonio J. Torres and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Ana Barabash

79 papers receiving 1.9k citations

Peers

Ana Barabash
Young Ho Park South Korea
Daniel Flanagan United Kingdom
E Ferrari Italy
Amy C. Arnold United States
Colin N. Young United States
James R.C. Parkinson United Kingdom
Young Ho Park South Korea
Ana Barabash
Citations per year, relative to Ana Barabash Ana Barabash (= 1×) peers Young Ho Park

Countries citing papers authored by Ana Barabash

Since Specialization
Citations

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

Fields of papers citing papers by Ana Barabash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Barabash

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Barabash. A scholar is included among the top collaborators of Ana Barabash 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 Ana Barabash. Ana Barabash 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.
Rodríguez‐Rojo, Inmaculada Concepción, et al.. (2024). APOE genotype, hippocampal volume, and cognitive reserve predict improvement by cognitive training in older adults without dementia: a randomized controlled trial. Cognitive Processing. 25(4). 673–689. 1 indexed citations
2.
O, Víctor de la, Pilar Matía‐Martín, Juana María Sancho Gil, et al.. (2024). Translational Algorithms for Technological Dietary Quality Assessment Integrating Nutrimetabolic Data with Machine Learning Methods. Nutrients. 16(22). 3817–3817.
3.
Arnoriaga‐Rodríguez, María, Ana Barabash, Johanna Valerio, et al.. (2024). A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women. Genes. 15(4). 482–482. 2 indexed citations
4.
López‐Sobaler, Ana M., Laura M. Bermejo, Liliana Guadalupe González‐Rodríguez, et al.. (2023). Association between Mineral Intake and Cognition Evaluated by Montreal Cognitive Assessment (MoCA): A Cross-Sectional Study. Nutrients. 15(21). 4505–4505. 8 indexed citations
5.
López‐Cuenca, Inés, Elena Salobrar‐García, Ana Barabash, et al.. (2023). Exploratory Longitudinal Study of Ocular Structural and Visual Functional Changes in Subjects at High Genetic Risk of Developing Alzheimer’s Disease. Biomedicines. 11(7). 2024–2024. 2 indexed citations
6.
López‐Cuenca, Inés, Elena Salobrar‐García, José A. Fernández‐Albarral, et al.. (2022). Characterization of Retinal Drusen in Subjects at High Genetic Risk of Developing Sporadic Alzheimer’s Disease: An Exploratory Analysis. Journal of Personalized Medicine. 12(5). 847–847. 4 indexed citations
7.
López‐Cuenca, Inés, Elena Salobrar‐García, Pilar Rojas, et al.. (2022). Retinal Vascular Study Using OCTA in Subjects at High Genetic Risk of Developing Alzheimer’s Disease and Cardiovascular Risk Factors. Journal of Clinical Medicine. 11(11). 3248–3248. 12 indexed citations
9.
López‐Cuenca, Inés, Rosa de Hoz, Elena Salobrar‐García, et al.. (2021). Foveal Avascular Zone and Choroidal Thickness Are Decreased in Subjects with Hard Drusen and without High Genetic Risk of Developing Alzheimer’s Disease. Biomedicines. 9(6). 638–638. 7 indexed citations
10.
Torrego-Ellacuría, Macarena, Ana Barabash, Pilar Matía‐Martín, et al.. (2021). Weight Regain Outcomes After Bariatric Surgery in the Long-term Follow-up: Role of Preoperative Factors. Obesity Surgery. 31(9). 3947–3955. 20 indexed citations
11.
López‐Cuenca, Inés, Rosa de Hoz, Elena Salobrar‐García, et al.. (2020). Macular Thickness Decrease in Asymptomatic Subjects at High Genetic Risk of Developing Alzheimer’s Disease: An OCT Study. Journal of Clinical Medicine. 9(6). 1728–1728. 29 indexed citations
12.
Frutos‐Lucas, Jaisalmer de, Pablo Cuesta, David López‐Sanz, et al.. (2020). The relationship between physical activity, apolipoprotein E ε4 carriage, and brain health. Alzheimer s Research & Therapy. 12(1). 48–48. 19 indexed citations
13.
Torre, Nuria García de la, Carla Assaf-Balut, Inés Jiménez, et al.. (2020). Effect of a Mediterranean Diet-Based Nutritional Intervention on the Risk of Developing Gestational Diabetes Mellitus and Other Maternal-Fetal Adverse Events in Hispanic Women Residents in Spain. Nutrients. 12(11). 3505–3505. 32 indexed citations
14.
López, María Eugenia, Agustı́n Turrero, Pablo Cuesta, et al.. (2020). A multivariate model of time to conversion from mild cognitive impairment to Alzheimer’s disease. GeroScience. 42(6). 1715–1732. 10 indexed citations
15.
Dolado, Alberto Marcos, Cristina Gómez‐Fernández, Miguel Yus, et al.. (2019). Diffusion Tensor Imaging Measures of Brain Connectivity for the Early Diagnosis of Alzheimer's Disease. Brain Connectivity. 9(8). 594–603. 7 indexed citations
16.
Miao, Ji, Praveen V. Manthena, Mary Gearing, et al.. (2015). Flavin-containing monooxygenase 3 as a potential player in diabetes-associated atherosclerosis. Nature Communications. 6(1). 6498–6498. 298 indexed citations
17.
Ramos‐Leví, Ana M., Andrés Sánchez-Pernaute, Lucio Cabrerizo, et al.. (2013). Remission of Type 2 Diabetes Mellitus Should Not Be the Foremost Goal after Bariatric Surgery. Obesity Surgery. 23(12). 2020–2025. 11 indexed citations
18.
Ramos‐Leví, Ana M., Andrés Sánchez-Pernaute, Pilar Matía‐Martín, et al.. (2013). Diagnosis of Diabetes Remission After Bariatic Surgery May be Jeopardized by Remission Criteria and Previous Hypoglycemic Treatment. Obesity Surgery. 23(10). 1520–1526. 23 indexed citations
19.
Sánchez‐Morla, Eva María, et al.. (2008). P50 sensory gating deficit is a common marker of vulnerability to bipolar disorder and schizophrenia. Acta Psychiatrica Scandinavica. 117(4). 313–318. 81 indexed citations
20.
Cabranes, José A., et al.. (2004). Relevance of functional neuroimaging in the progression of mild cognitive impairment. Neurological Research. 26(5). 496–501. 12 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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