J Pecci-Saavedra

18 total papers · 427 total citations
18 papers, 353 citations indexed

About

J Pecci-Saavedra is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, J Pecci-Saavedra has authored 18 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in J Pecci-Saavedra's work include Neuroscience and Neuropharmacology Research (7 papers), Neonatal and fetal brain pathology (4 papers) and Neural dynamics and brain function (3 papers). J Pecci-Saavedra is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neonatal and fetal brain pathology (4 papers) and Neural dynamics and brain function (3 papers). J Pecci-Saavedra collaborates with scholars based in Argentina and United States. J Pecci-Saavedra's co-authors include César Fabián Loidl, Robert W. Doty, Francisco Capani, Paul D. Wilson, Ester Marı́a López, Juan José López‐Costa, Tomás A. Reader, E. Pasqualini, Lidia L. Piehl and Graciela Facorro and has published in prestigious journals such as Nature, Brain Research and Experimental Brain Research.

In The Last Decade

J Pecci-Saavedra

18 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
J Pecci-Saavedra 146 114 96 63 48 18 353
Maarten Schenke 126 0.9× 82 0.7× 64 0.7× 32 0.5× 69 1.4× 14 300
Yuxiu Shi 114 0.8× 61 0.5× 84 0.9× 17 0.3× 22 0.5× 12 340
Donald H. Waters 148 1.0× 78 0.7× 77 0.8× 23 0.4× 24 0.5× 15 397
Faik Özveren 55 0.4× 42 0.4× 42 0.4× 28 0.4× 63 1.3× 16 344
Roberta Bristot Silvestrin 67 0.5× 54 0.5× 115 1.2× 25 0.4× 12 0.3× 14 378
Adelaida Sánchez Riolobos 152 1.0× 87 0.8× 94 1.0× 16 0.3× 23 0.5× 21 363
Brendan B. McAllister 106 0.7× 38 0.3× 92 1.0× 33 0.5× 18 0.4× 19 377
Nasrin Mehranfard 143 1.0× 53 0.5× 90 0.9× 27 0.4× 15 0.3× 35 363
Małgorzata Borczyk 133 0.9× 67 0.6× 123 1.3× 46 0.7× 15 0.3× 30 398
Ana Gutiérrez‐Rodrίguez 167 1.1× 50 0.4× 48 0.5× 40 0.6× 39 0.8× 15 400

Countries citing papers authored by J Pecci-Saavedra

Since Specialization
Citations

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

Fields of papers citing papers by J Pecci-Saavedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Pecci-Saavedra. 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 J Pecci-Saavedra. The network helps show where J Pecci-Saavedra may publish in the future.

Co-authorship network of co-authors of J Pecci-Saavedra

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