Bruno Dutra Arbo

51 total papers · 674 total citations
33 papers, 499 citations indexed

About

Bruno Dutra Arbo is a scholar working on Cellular and Molecular Neuroscience, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Bruno Dutra Arbo has authored 33 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 10 papers in Physiology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Bruno Dutra Arbo's work include Neuroscience and Neuropharmacology Research (7 papers), Stress Responses and Cortisol (6 papers) and Hormonal and reproductive studies (5 papers). Bruno Dutra Arbo is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Stress Responses and Cortisol (6 papers) and Hormonal and reproductive studies (5 papers). Bruno Dutra Arbo collaborates with scholars based in Brazil, Spain and France. Bruno Dutra Arbo's co-authors include Maria Flávia Marques Ribeiro, Mariana Appel Hort, Fernando Benetti, Ana Luíza Muccillo-Baisch, Luis Miguel García‐Segura, Rosane Gomez, Ionara Rodrigues Siqueira, Laura Reck Cechinel, Luiz Carlos Kucharski and Alana Witt Hansen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

Bruno Dutra Arbo

30 papers receiving 496 citations

Author Peers

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

Author Last Decade Papers Cites
Bruno Dutra Arbo 138 127 87 71 63 33 499
Jie Xia 146 1.1× 228 1.8× 54 0.6× 56 0.8× 39 0.6× 24 514
Juan F. Codocedo 184 1.3× 133 1.0× 106 1.2× 120 1.7× 36 0.6× 19 551
Xin‐shang Wang 195 1.4× 164 1.3× 106 1.2× 138 1.9× 20 0.3× 34 608
Zahra Hajializadeh 106 0.8× 132 1.0× 61 0.7× 38 0.5× 19 0.3× 34 547
Na Zhao 155 1.1× 254 2.0× 51 0.6× 89 1.3× 44 0.7× 30 560
Shuyan Yu 242 1.8× 87 0.7× 57 0.7× 84 1.2× 15 0.2× 29 501
Kexiang Zhao 226 1.6× 239 1.9× 42 0.5× 80 1.1× 42 0.7× 22 552
Suman Mukherjee 206 1.5× 84 0.7× 75 0.9× 37 0.5× 55 0.9× 27 561
Sanchari Basu Mallik 162 1.2× 62 0.5× 43 0.5× 81 1.1× 23 0.4× 20 506
Ashi Mannan 191 1.4× 81 0.6× 69 0.8× 52 0.7× 9 0.1× 49 456

Countries citing papers authored by Bruno Dutra Arbo

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Dutra Arbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Dutra Arbo. 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 Bruno Dutra Arbo. The network helps show where Bruno Dutra Arbo may publish in the future.

Co-authorship network of co-authors of Bruno Dutra Arbo

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Dutra Arbo. A scholar is included among the top collaborators of Bruno Dutra Arbo 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 Bruno Dutra Arbo. Bruno Dutra Arbo 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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