Javier Rasero

637 total citations
33 papers, 379 citations indexed

About

Javier Rasero is a scholar working on Cognitive Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Javier Rasero has authored 33 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 7 papers in Molecular Biology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Javier Rasero's work include Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (8 papers) and Heart Rate Variability and Autonomic Control (5 papers). Javier Rasero is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (8 papers) and Heart Rate Variability and Autonomic Control (5 papers). Javier Rasero collaborates with scholars based in United States, Spain and Italy. Javier Rasero's co-authors include Jesús M. Cortés, Sebastiano Stramaglia, Timothy Verstynen, Ibai Díez, Fang‐Cheng Yeh, Daniele Marinazzo, P. Bonifazi, Alfonso Santos-López, Caroline B. Turner and Peter J. Gianaros and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Javier Rasero

32 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Rasero United States 12 185 88 67 49 33 33 379
Katharina Helm Austria 12 98 0.5× 121 1.4× 67 1.0× 46 0.9× 16 0.5× 16 432
Tianzhou Ma United States 10 95 0.5× 235 2.7× 35 0.5× 60 1.2× 30 0.9× 49 605
Fu Gao United States 6 60 0.3× 193 2.2× 29 0.4× 49 1.0× 30 0.9× 7 391
Vincent Guillemot France 13 65 0.4× 248 2.8× 40 0.6× 102 2.1× 23 0.7× 22 583
Satoru Ohtomo Japan 10 146 0.8× 47 0.5× 59 0.9× 25 0.5× 43 1.3× 21 395
Michelle L. Krishnan United States 12 101 0.5× 189 2.1× 71 1.1× 177 3.6× 40 1.2× 17 573
Maria Vounou United Kingdom 5 76 0.4× 158 1.8× 56 0.8× 98 2.0× 39 1.2× 6 320
Yann Le Guen United States 14 139 0.8× 147 1.7× 79 1.2× 138 2.8× 64 1.9× 42 548
Di Xiong China 7 98 0.5× 87 1.0× 86 1.3× 86 1.8× 27 0.8× 14 324

Countries citing papers authored by Javier Rasero

Since Specialization
Citations

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

Fields of papers citing papers by Javier Rasero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Rasero

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Rasero. A scholar is included among the top collaborators of Javier Rasero 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 Javier Rasero. Javier Rasero 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.
Rasero, Javier, Timothy Verstynen, Thomas E. Kraynak, et al.. (2025). Stressor‐Evoked Brain Activity, Cardiovascular Reactivity, and Subclinical Atherosclerosis in Midlife Adults. Journal of the American Heart Association. 14(10). e034908–e034908. 1 indexed citations
2.
3.
Wan, Lu, Cristina Molina‐Hidalgo, George Grove, et al.. (2025). Fitness and exercise effects on brain age: A randomized clinical trial. Journal of sport and health science. 15. 101079–101079.
4.
Rasero, Javier, et al.. (2024). Cortical and subcortical brain networks predict prevailing heart rate. Psychophysiology. 61(11). e14641–e14641. 2 indexed citations
5.
Gardeazábal, Jesús, R. Izu, Estíbaliz Garrote, et al.. (2023). Melanoma Clinical Decision Support System: An Artificial Intelligence-Based Tool to Diagnose and Predict Disease Outcome in Early-Stage Melanoma Patients. Cancers. 15(7). 2174–2174. 13 indexed citations
6.
Molina‐Hidalgo, Cristina, George Grove, Thomas W. Kamarck, et al.. (2023). Effects of a laboratory-based aerobic exercise intervention on brain volume and cardiovascular health markers: protocol for a randomised clinical trial. BMJ Open. 13(11). e077905–e077905. 1 indexed citations
7.
Bond, Krista, et al.. (2023). Competing neural representations of choice shape evidence accumulation in humans. eLife. 12. 2 indexed citations
8.
Sommariva, Sara, Anna‐Lisa Schuler, Annalisa Pascarella, et al.. (2023). The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data.. NeuroImage. 284. 120424–120424. 11 indexed citations
9.
Rasero, Javier, et al.. (2023). Similarity in evoked responses does not imply similarity in macroscopic network states. Network Neuroscience. 8(1). 335–354. 4 indexed citations
10.
Penas, Cristina, Aintzane Apraiz, Javier Rasero, et al.. (2023). Pirin is a prognostic marker of human melanoma that dampens the proliferation of malignant cells by downregulating JARID1B/KDM5B expression. Scientific Reports. 13(1). 9561–9561. 4 indexed citations
11.
Rasero, Javier, et al.. (2023). The Neurogenetics of Functional Connectivity Alterations in Autism: Insights From Subtyping in 657 Individuals. Biological Psychiatry. 94(10). 804–813. 22 indexed citations
12.
Rasero, Javier, et al.. (2022). Integrating multiple brain imaging modalities does not boost prediction of subclinical atherosclerosis in midlife adults. NeuroImage Clinical. 35. 103134–103134. 3 indexed citations
13.
Gianaros, Peter J., Javier Rasero, Thomas E. Kraynak, et al.. (2022). Multivariate Brain Activity while Viewing and Reappraising Affective Scenes Does Not Predict the Multiyear Progression of Preclinical Atherosclerosis in Otherwise Healthy Midlife Adults. Affective Science. 3(2). 406–424. 6 indexed citations
14.
Santos-López, Alfonso, et al.. (2021). The roles of history, chance, and natural selection in the evolution of antibiotic resistance. eLife. 10. 28 indexed citations
15.
Rasero, Javier, et al.. (2021). Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability. PLoS Computational Biology. 17(3). e1008347–e1008347. 36 indexed citations
16.
Penas, Cristina, Aintzane Apraiz, Javier Rasero, et al.. (2020). RKIP Regulates Differentiation-Related Features in Melanocytic Cells. Cancers. 12(6). 1451–1451. 8 indexed citations
17.
Lozovaya, N. A., Romain Nardou, Roman Tyzio, et al.. (2019). Early alterations in a mouse model of Rett syndrome: the GABA developmental shift is abolished at birth. Scientific Reports. 9(1). 9276–9276. 47 indexed citations
18.
Rivera, Diego, Ibai Díez, Daniela Ramos‐Usuga, et al.. (2019). Brain connectivity and cognitive functioning in individuals six months after multiorgan failure. NeuroImage Clinical. 25. 102137–102137. 8 indexed citations
19.
Rasero, Javier, Ibai Díez, Jesús M. Cortés, Daniele Marinazzo, & Sebastiano Stramaglia. (2018). Connectome sorting by consensus clustering increases separability in group neuroimaging studies. Network Neuroscience. 3(2). 325–343. 8 indexed citations
20.
Rasero, Javier, et al.. (2018). Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data. PLoS ONE. 13(11). e0207385–e0207385. 14 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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