Felipe Ornell

121 total papers · 3.7k total citations
54 papers, 1.2k citations indexed

About

Felipe Ornell is a scholar working on Clinical Psychology, General Health Professions and Epidemiology. According to data from OpenAlex, Felipe Ornell has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Clinical Psychology, 13 papers in General Health Professions and 12 papers in Epidemiology. Recurrent topics in Felipe Ornell's work include Substance Abuse Treatment and Outcomes (11 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and COVID-19 and Mental Health (8 papers). Felipe Ornell is often cited by papers focused on Substance Abuse Treatment and Outcomes (11 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and COVID-19 and Mental Health (8 papers). Felipe Ornell collaborates with scholars based in Brazil, United States and Canada. Felipe Ornell's co-authors include Félix Henrique Paim Kessler, Lísia von Diemen, Joana Corrêa de Magalhães Narvaez, Silvia Chwartzmann Halpern, Juliana Nichterwitz Scherer, Flávio Pechansky, Helena Ferreira Moura, Anne Orgler Sordi, Jaqueline Bohrer Schuch and João Quevedo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychopharmacology.

In The Last Decade

Felipe Ornell

53 papers receiving 1.1k citations

Hit Papers

The COVID-19 pandemic and... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Felipe Ornell 527 238 130 116 115 54 1.2k
Seung‐Hyun Kim 365 0.7× 133 0.6× 101 0.8× 187 1.6× 86 0.7× 67 1.5k
Bénédicte Gohier 446 0.8× 229 1.0× 144 1.1× 143 1.2× 66 0.6× 76 1.3k
Gino Pozzi 449 0.9× 146 0.6× 233 1.8× 161 1.4× 178 1.5× 57 1.3k
Nagesh Pai 461 0.9× 153 0.6× 120 0.9× 162 1.4× 55 0.5× 72 1.3k
Rebecca Jones 568 1.1× 255 1.1× 98 0.8× 184 1.6× 53 0.5× 55 1.4k
Chiara Gastaldon 604 1.1× 172 0.7× 75 0.6× 245 2.1× 48 0.4× 57 1.5k
S. M. Channabasavanna 626 1.2× 129 0.5× 129 1.0× 322 2.8× 80 0.7× 82 1.5k
Kim Donoghue 309 0.6× 241 1.0× 99 0.8× 184 1.6× 291 2.5× 44 1.3k
Anna Kolliakou 401 0.8× 175 0.7× 133 1.0× 162 1.4× 68 0.6× 41 1.4k
Roberto Quartesan 364 0.7× 174 0.7× 61 0.5× 113 1.0× 77 0.7× 59 1.2k

Countries citing papers authored by Felipe Ornell

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Ornell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Ornell

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