João Palermo‐Neto

371 total papers · 5.9k total citations
202 papers, 4.4k citations indexed

About

João Palermo‐Neto is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Social Psychology. According to data from OpenAlex, João Palermo‐Neto has authored 202 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cellular and Molecular Neuroscience, 46 papers in Behavioral Neuroscience and 38 papers in Social Psychology. Recurrent topics in João Palermo‐Neto's work include Stress Responses and Cortisol (46 papers), Neuroendocrine regulation and behavior (38 papers) and Neuroscience and Neuropharmacology Research (32 papers). João Palermo‐Neto is often cited by papers focused on Stress Responses and Cortisol (46 papers), Neuroendocrine regulation and behavior (38 papers) and Neuroscience and Neuropharmacology Research (32 papers). João Palermo‐Neto collaborates with scholars based in Brazil, United States and Canada. João Palermo‐Neto's co-authors include W.M. Quinteiro-Filho, V. Ferraz-de-Paula, M.L. Pinheiro, Antônio José Piantino Ferreira, Cristina de Oliveira Massoco, Mônica Sakai, Lílian Rose Marques de Sá, Roberto Frussa‐Filho, Maria Martha Bernardi and Adrielle Aparecida Paulista Ribeiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

João Palermo‐Neto

197 papers receiving 4.3k citations

Hit Papers

Heat stress impairs perfo... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
João Palermo‐Neto 1.3k 665 631 630 577 202 4.4k
Pedro Lorenzo 544 0.4× 520 0.8× 1.0k 1.6× 1.5k 2.4× 176 0.3× 187 5.7k
Mitsuhiro Furuse 2.8k 2.2× 674 1.0× 1.9k 3.1× 1.3k 2.1× 743 1.3× 469 8.7k
Wolfgang Langhans 600 0.5× 906 1.4× 1.0k 1.6× 1.6k 2.5× 783 1.4× 264 10.4k
F. Josef van der Staay 814 0.6× 619 0.9× 1.3k 2.1× 1.4k 2.2× 763 1.3× 141 5.2k
D. Michael Denbow 3.2k 2.5× 365 0.5× 1.2k 2.0× 761 1.2× 550 1.0× 222 6.1k
Ana I. Esquifino 219 0.2× 583 0.9× 521 0.8× 466 0.7× 293 0.5× 254 5.0k
Jean Fioramonti 296 0.2× 623 0.9× 1.0k 1.7× 2.4k 3.8× 637 1.1× 236 9.3k
W.R. Butler 1.9k 1.5× 318 0.5× 197 0.3× 592 0.9× 331 0.6× 125 10.4k
Lionel Buéno 383 0.3× 810 1.2× 1.8k 2.8× 2.4k 3.9× 817 1.4× 313 10.8k
Ewen MacDonald 230 0.2× 426 0.6× 1.9k 3.0× 1.3k 2.1× 320 0.6× 103 4.2k

Countries citing papers authored by João Palermo‐Neto

Since Specialization
Citations

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

Fields of papers citing papers by João Palermo‐Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Palermo‐Neto. 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 João Palermo‐Neto. The network helps show where João Palermo‐Neto may publish in the future.

Co-authorship network of co-authors of João Palermo‐Neto

This figure shows the co-authorship network connecting the top 25 collaborators of João Palermo‐Neto. A scholar is included among the top collaborators of João Palermo‐Neto 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 João Palermo‐Neto. João Palermo‐Neto 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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