Miguel Dasilva

24 total papers · 540 total citations
14 papers, 207 citations indexed

About

Miguel Dasilva is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Miguel Dasilva has authored 14 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Miguel Dasilva's work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (4 papers). Miguel Dasilva is often cited by papers focused on Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (4 papers). Miguel Dasilva collaborates with scholars based in Spain, United Kingdom and Italy. Miguel Dasilva's co-authors include María V. Sánchez-Vives, Kenneth L. Grieve, Antonio Pazienti, Javier Cudeiro, Casto Rivadulla, Maurizio Mattia, Alexander Thiele, Christian Brandt, C. Distler and Alessandra Camassa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Miguel Dasilva

12 papers receiving 207 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Miguel Dasilva	140	121	39	26	8	14	207
Adrina Kocharian	101 0.7×	187 1.5×	30 0.8×	91 3.5×	10 1.3×	11	289
Shana M. Augustin	74 0.5×	173 1.4×	101 2.6×	66 2.5×	13 1.6×	11	269
Ryan E. Harvey	144 1.0×	99 0.8×	11 0.3×	12 0.5×	9 1.1×	14	237
Eli Shobin	29 0.2×	71 0.6×	63 1.6×	31 1.2×	11 1.4×	9	207
Alexandra Auffret	60 0.4×	97 0.8×	27 0.7×	41 1.6×	18 2.3×	13	215
Péter Gombkötő	137 1.0×	128 1.1×	21 0.5×	66 2.5×	12 1.5×	15	236
Alexandre Guet-McCreight	128 0.9×	154 1.3×	11 0.3×	50 1.9×	3 0.4×	17	201
Kareem Abdou	157 1.1×	154 1.3×	22 0.6×	41 1.6×	8 1.0×	9	266
Amrita Singh	117 0.8×	112 0.9×	15 0.4×	15 0.6×	4 0.5×	10	223
Judith Bluvstein	65 0.5×	95 0.8×	85 2.2×	36 1.4×	10 1.3×	10	284

Countries citing papers authored by Miguel Dasilva

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Dasilva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Dasilva

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

All Works

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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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