Maria J. Pinto

23 total papers · 472 total citations
15 papers, 340 citations indexed

About

Maria J. Pinto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Maria J. Pinto has authored 15 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Maria J. Pinto's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Maria J. Pinto is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Maria J. Pinto collaborates with scholars based in Portugal, France and Switzerland. Maria J. Pinto's co-authors include Ramiro D. Almeida, António Francisco Ambrósio, Filipe Elvas, Filipa I. Baptista, Viola Cavallo, Théophile Ohlmann, Carlos B. Duarte, Mário Grãos, Tadeusz Wieloch and Ana R. Inácio and has published in prestigious journals such as Neuron, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Maria J. Pinto

15 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Maria J. Pinto 141 125 66 50 49 15 340
Xiang-Dong Sun 157 1.1× 145 1.2× 51 0.8× 48 1.0× 55 1.1× 8 332
Emilia Rejmak 176 1.2× 155 1.2× 41 0.6× 39 0.8× 64 1.3× 13 400
Paschalis Efstathopoulos 135 1.0× 102 0.8× 38 0.6× 46 0.9× 33 0.7× 14 356
Josephine Labus 158 1.1× 138 1.1× 73 1.1× 24 0.5× 51 1.0× 15 391
Kavitha Abiraman 124 0.9× 157 1.3× 52 0.8× 53 1.1× 58 1.2× 9 336
Sunetra Sase 154 1.1× 150 1.2× 60 0.9× 38 0.8× 25 0.5× 18 322
Katyayani Singh 176 1.2× 92 0.7× 32 0.5× 22 0.4× 41 0.8× 13 399
Ana Lima 132 0.9× 76 0.6× 63 1.0× 31 0.6× 31 0.6× 14 304
Florence Frédéric 171 1.2× 130 1.0× 78 1.2× 54 1.1× 19 0.4× 16 341
Grzegorz Wiera 126 0.9× 170 1.4× 54 0.8× 26 0.5× 38 0.8× 17 321

Countries citing papers authored by Maria J. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Maria J. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria J. Pinto. 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 Maria J. Pinto. The network helps show where Maria J. Pinto may publish in the future.

Co-authorship network of co-authors of Maria J. Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Maria J. Pinto. A scholar is included among the top collaborators of Maria J. Pinto 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 Maria J. Pinto. Maria J. Pinto 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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