María A. Bermúdez

1.4k total citations
52 papers, 1.1k citations indexed

About

María A. Bermúdez is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, María A. Bermúdez has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in María A. Bermúdez's work include Neural dynamics and brain function (14 papers), Visual perception and processing mechanisms (10 papers) and Neural and Behavioral Psychology Studies (6 papers). María A. Bermúdez is often cited by papers focused on Neural dynamics and brain function (14 papers), Visual perception and processing mechanisms (10 papers) and Neural and Behavioral Psychology Studies (6 papers). María A. Bermúdez collaborates with scholars based in Spain, United States and United Kingdom. María A. Bermúdez's co-authors include Wolfram Schultz, Francisco González, Román Pérez-Fernández, Noemí Eiró, Juan Sendón-Lago, Francisco J. Vizoso, Samuel Seoane, Rogelio Perez, Maria C. Romero and Jorge Saá and has published in prestigious journals such as Current Biology, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

María A. Bermúdez

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María A. Bermúdez Spain 21 264 222 197 158 134 52 1.1k
Domenica Battaglia Italy 27 288 1.1× 128 0.6× 563 2.9× 120 0.8× 414 3.1× 115 2.3k
Noriko Morimoto Japan 19 155 0.6× 171 0.8× 328 1.7× 30 0.2× 62 0.5× 80 1.1k
Tomohiko Mizutani Japan 22 258 1.0× 84 0.4× 405 2.1× 93 0.6× 247 1.8× 87 1.7k
Sarah E. Miller United States 14 161 0.6× 121 0.5× 258 1.3× 111 0.7× 362 2.7× 35 1.6k
Armando Martínez United States 19 105 0.4× 128 0.6× 230 1.2× 97 0.6× 173 1.3× 32 1.1k
Xun Zhang China 22 280 1.1× 114 0.5× 735 3.7× 78 0.5× 57 0.4× 82 1.9k
Arvid Heiberg Norway 26 183 0.7× 286 1.3× 671 3.4× 90 0.6× 291 2.2× 80 1.9k
Giovanni Lanzi Italy 28 374 1.4× 95 0.4× 554 2.8× 77 0.5× 239 1.8× 62 2.0k
Cathérine Belin France 22 214 0.8× 110 0.5× 324 1.6× 280 1.8× 231 1.7× 74 1.8k
John Park United States 18 173 0.7× 345 1.6× 164 0.8× 114 0.7× 158 1.2× 50 1.1k

Countries citing papers authored by María A. Bermúdez

Since Specialization
Citations

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

Fields of papers citing papers by María A. Bermúdez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María A. Bermúdez. 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 María A. Bermúdez. The network helps show where María A. Bermúdez may publish in the future.

Co-authorship network of co-authors of María A. Bermúdez

This figure shows the co-authorship network connecting the top 25 collaborators of María A. Bermúdez. A scholar is included among the top collaborators of María A. Bermúdez 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 María A. Bermúdez. María A. Bermúdez 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.
Cairoli, Federico Rodríguez, et al.. (2025). Prevalence, Socioeconomic, and Environmental Costs of Urinary Incontinence in the European Union. European Urology. 88(2). 157–166. 1 indexed citations
2.
Eiró, Noemí, Juan Sendón-Lago, Sandra Cid, et al.. (2022). Conditioned Medium from Human Uterine Cervical Stem Cells Regulates Oxidative Stress and Angiogenesis of Retinal Pigment Epithelial Cells. Ophthalmic Research. 65(5). 556–565. 6 indexed citations
3.
Gago-Domínguez, Manuela, Manuel Calaza, María A. Bermúdez, et al.. (2021). LIPG endothelial lipase and breast cancer risk by subtypes. Scientific Reports. 11(1). 10436–10436. 2 indexed citations
4.
5.
Sendón-Lago, Juan, Samuel Seoane, Anxo Martínez-Ordóñez, et al.. (2018). Corneal regeneration by conditioned medium of human uterine cervical stem cells is mediated by TIMP-1 and TIMP-2. Experimental Eye Research. 180. 110–121. 27 indexed citations
6.
Masterson, Travis D., et al.. (2018). Food commercials do not affect energy intake in a laboratory meal but do alter brain responses to visual food cues in children. Appetite. 132. 154–165. 26 indexed citations
7.
Masterson, Travis D., et al.. (2018). Brain response to food brands correlates with increased intake from branded meals in children: an fMRI study. Brain Imaging and Behavior. 13(4). 1035–1048. 26 indexed citations
8.
Keller, Kathleen, Laural English, S. Nicole Fearnbach, et al.. (2018). Brain response to food cues varying in portion size is associated with individual differences in the portion size effect in children. Appetite. 125. 139–151. 20 indexed citations
9.
Fernández‐Ferreiro, Anxo, Andrea Luaces-Rodríguez, Pablo Aguiar, et al.. (2017). Preclinical PET Study of Intravitreal Injections.. PubMed. 58(7). 2843–2851. 14 indexed citations
10.
Bermúdez, María A., Juan Sendón-Lago, Samuel Seoane, et al.. (2016). Anti-inflammatory effect of conditioned medium from human uterine cervical stem cells in uveitis. Experimental Eye Research. 149. 84–92. 65 indexed citations
11.
Romero, Maria C., et al.. (2015). Visual Perception in Anterior Temporal Lobectomy. Journal of Neurological Surgery Part A Central European Neurosurgery. 77(2). 118–129. 1 indexed citations
12.
Bermúdez, María A., et al.. (2015). Neural activity in monkey amygdala during performance of a multisensory operant task. Journal of Integrative Neuroscience. 14(3). 309–323. 1 indexed citations
13.
Ariansen, Jennifer L., Michael L. Heien, Andre Hermans, et al.. (2012). Monitoring extracellular pH, oxygen, and dopamine during reward delivery in the striatum of primates. Frontiers in Behavioral Neuroscience. 6. 36–36. 43 indexed citations
14.
Bermúdez, María A., et al.. (2012). Putamen neurons process both sensory and motor information during a complex task. Brain Research. 1466. 70–81. 30 indexed citations
15.
Sánchez, Mateo I., José Martı́nez-Costas, Francisco González, et al.. (2012). In Vivo Light-Driven DNA Binding and Cellular Uptake of Nucleic Acid Stains. ACS Chemical Biology. 7(7). 1276–1280. 21 indexed citations
16.
Rodríguez, Jaime, et al.. (2011). Intraneural hematoma after nerve stimulation-guided femoral block in a patient with factor XI deficiency: case report. Journal of Clinical Anesthesia. 23(3). 234–237. 15 indexed citations
17.
18.
Tang, Fusheng, María A. Bermúdez, Russell D. Gray, et al.. (2008). A lifespan-extending form of autophagy employs the vacuole-vacuole fusion machinery. Autophagy. 4(7). 874–886. 59 indexed citations
19.
González, Francisco, et al.. (2006). Temporal characteristics of visual receptive fields in primary visual cortex and medial superior temporal cortex areas. Neuroreport. 17(6). 565–569. 1 indexed citations
20.
González, Francisco, et al.. (2003). Sensitivity to horizontal and vertical disparity and orientation preference in areas V1 and V2 of the monkey. Neuroreport. 14(6). 829–832. 10 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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