Bruna Panizzutti

72 total papers · 1.1k total citations
40 papers, 821 citations indexed

About

Bruna Panizzutti is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Bruna Panizzutti has authored 40 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biological Psychiatry, 16 papers in Psychiatry and Mental health and 12 papers in Genetics. Recurrent topics in Bruna Panizzutti's work include Tryptophan and brain disorders (17 papers), Bipolar Disorder and Treatment (14 papers) and Genetics and Neurodevelopmental Disorders (10 papers). Bruna Panizzutti is often cited by papers focused on Tryptophan and brain disorders (17 papers), Bipolar Disorder and Treatment (14 papers) and Genetics and Neurodevelopmental Disorders (10 papers). Bruna Panizzutti collaborates with scholars based in Australia, Brazil and United States. Bruna Panizzutti's co-authors include Clarissa Severino Gama, Flávio Kapczinski, Laura Stertz, Michael Berk, Raffael Massuda, Ken Walder, Carolina Gubert, Chiara C. Bortolasci, Bianca Pfaffenseller and Laura Gray and has published in prestigious journals such as Biological Psychiatry, International Journal of Molecular Sciences and Neuroscience.

In The Last Decade

Bruna Panizzutti

38 papers receiving 813 citations

Author Peers

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

Author Last Decade Papers Cites
Bruna Panizzutti 320 228 194 160 138 40 821
Shinsuke Hidese 307 1.0× 189 0.8× 192 1.0× 172 1.1× 114 0.8× 48 1.0k
Mariana Pedrini 334 1.0× 333 1.5× 180 0.9× 122 0.8× 95 0.7× 29 780
Camila O. Arent 296 0.9× 236 1.0× 256 1.3× 118 0.7× 125 0.9× 34 839
Abigail J. Sheldrick 303 0.9× 212 0.9× 160 0.8× 95 0.6× 195 1.4× 32 915
Donghong Cui 203 0.6× 201 0.9× 263 1.4× 121 0.8× 82 0.6× 70 973
Timothy R. Powell 358 1.1× 148 0.6× 229 1.2× 203 1.3× 225 1.6× 51 998
Shoko Tsuchimine 164 0.5× 273 1.2× 112 0.6× 116 0.7× 96 0.7× 67 882
Felipe Schmitz 154 0.5× 181 0.8× 235 1.2× 140 0.9× 103 0.7× 58 1.0k
Chirayu D. Pandya 205 0.6× 81 0.4× 257 1.3× 132 0.8× 128 0.9× 30 910
Yun Tan 294 0.9× 216 0.9× 181 0.9× 150 0.9× 141 1.0× 22 921

Countries citing papers authored by Bruna Panizzutti

Since Specialization
Citations

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

Fields of papers citing papers by Bruna Panizzutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruna Panizzutti

This figure shows the co-authorship network connecting the top 25 collaborators of Bruna Panizzutti. A scholar is included among the top collaborators of Bruna Panizzutti 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 Bruna Panizzutti. Bruna Panizzutti 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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