Pedro Mateos‐Aparicio

786 total citations
10 papers, 479 citations indexed

About

Pedro Mateos‐Aparicio is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Pedro Mateos‐Aparicio has authored 10 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Pedro Mateos‐Aparicio's work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (6 papers) and Photoreceptor and optogenetics research (3 papers). Pedro Mateos‐Aparicio is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (6 papers) and Photoreceptor and optogenetics research (3 papers). Pedro Mateos‐Aparicio collaborates with scholars based in Spain, Norway and Mexico. Pedro Mateos‐Aparicio's co-authors include Antonio Rodríguez Moreno, Johan F. Storm, Ricardo Murphy, Sónia Guerra‐Gomes, João Filipe Oliveira, Rafael Falcón‐Moya, Luis Enrique Arroyo‐García, Gonzalo Flores, Yuniesky Andrade‐Talavera and María V. Sánchez-Vives and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

Pedro Mateos‐Aparicio

10 papers receiving 474 citations

Peers

Pedro Mateos‐Aparicio
John I. Broussard United States
Christina Mo Australia
Shengtao Yang United States
Xiping Zhan United States
Marija Markicevic Switzerland
Gabrielle T Drummond United States
Alex Sonneborn United States
Cristina Bañuelos United States
John I. Broussard United States
Pedro Mateos‐Aparicio
Citations per year, relative to Pedro Mateos‐Aparicio Pedro Mateos‐Aparicio (= 1×) peers John I. Broussard

Countries citing papers authored by Pedro Mateos‐Aparicio

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Mateos‐Aparicio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Mateos‐Aparicio. 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 Pedro Mateos‐Aparicio. The network helps show where Pedro Mateos‐Aparicio may publish in the future.

Co-authorship network of co-authors of Pedro Mateos‐Aparicio

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

All Works

10 of 10 papers shown
1.
Mateos‐Aparicio, Pedro, et al.. (2021). Impact of GABAA and GABAB Inhibition on Cortical Dynamics and Perturbational Complexity during Synchronous and Desynchronized States. Journal of Neuroscience. 41(23). 5029–5044. 29 indexed citations
2.
Matera, Carlo, Pedro Mateos‐Aparicio, Aida Garrido‐Charles, et al.. (2021). Control of Brain State Transitions with a Photoswitchable Muscarinic Agonist. Advanced Science. 8(14). e2005027–e2005027. 18 indexed citations
3.
Mateos‐Aparicio, Pedro, et al.. (2020). Impact of GABAA and GABAB inhibition on cortical dynamics and perturbational complexity during synchronous and asynchronous activity. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
4.
Falcón‐Moya, Rafael, Yuniesky Andrade‐Talavera, Luis Enrique Arroyo‐García, et al.. (2020). Astrocyte-mediated switch in spike timing-dependent plasticity during hippocampal development. Nature Communications. 11(1). 4388–4388. 74 indexed citations
5.
Mateos‐Aparicio, Pedro, et al.. (2020). Challenges in Physiological Phenotyping of hiPSC-Derived Neurons: From 2D Cultures to 3D Brain Organoids. Frontiers in Cell and Developmental Biology. 8. 797–797. 6 indexed citations
6.
Mateos‐Aparicio, Pedro & Antonio Rodríguez Moreno. (2019). The Impact of Studying Brain Plasticity. Frontiers in Cellular Neuroscience. 13. 66–66. 194 indexed citations
7.
Mateos‐Aparicio, Pedro & Antonio Rodríguez Moreno. (2019). Calcium Dynamics and Synaptic Plasticity. Advances in experimental medicine and biology. 1131. 965–984. 70 indexed citations
8.
Wang, Kang, Pedro Mateos‐Aparicio, Christoph Hönigsperger, et al.. (2016). IK1 channels do not contribute to the slow afterhyperpolarization in pyramidal neurons. eLife. 5. e11206–e11206. 25 indexed citations
9.
Nigro, Maximiliano José, Pedro Mateos‐Aparicio, & Johan F. Storm. (2014). Expression and Functional Roles of Kv7/KCNQ/M-Channels in Rat Medial Entorhinal Cortex Layer II Stellate Cells. Journal of Neuroscience. 34(20). 6807–6812. 18 indexed citations
10.
Mateos‐Aparicio, Pedro, Ricardo Murphy, & Johan F. Storm. (2013). Complementary functions of SK and Kv7/M potassium channels in excitability control and synaptic integration in rat hippocampal dentate granule cells. The Journal of Physiology. 592(4). 669–693. 43 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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