Flávia Bonamin

14 total papers · 465 total citations
11 papers, 374 citations indexed

About

Flávia Bonamin is a scholar working on Pharmacology, Molecular Biology and Food Science. According to data from OpenAlex, Flávia Bonamin has authored 11 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 3 papers in Molecular Biology and 3 papers in Food Science. Recurrent topics in Flávia Bonamin's work include Essential Oils and Antimicrobial Activity (3 papers), Ginger and Zingiberaceae research (3 papers) and Pomegranate: compositions and health benefits (2 papers). Flávia Bonamin is often cited by papers focused on Essential Oils and Antimicrobial Activity (3 papers), Ginger and Zingiberaceae research (3 papers) and Pomegranate: compositions and health benefits (2 papers). Flávia Bonamin collaborates with scholars based in Brazil and Australia. Flávia Bonamin's co-authors include Clélia Akiko Hiruma-Lima, Raquel Cássia Santos, Lúcia Regina Machado da Rocha, Wagner Vilegas, Taís Maria Bauab, Hélio Kushima, Fernando Pereira Beserra, Thiago Mello Moraes, Luiz Cláudio Di Stasi and Alba Regina Monteiro Souza Brito and has published in prestigious journals such as Journal of Ethnopharmacology, Biomedicine & Pharmacotherapy and Phytotherapy Research.

In The Last Decade

Flávia Bonamin

10 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Flávia Bonamin	139	126	75	74	72	11	374
Ana Cristina Alves de Almeida	183 1.3×	151 1.2×	84 1.1×	126 1.7×	43 0.6×	15	445
Ricardo José Dunder	150 1.1×	137 1.1×	71 0.9×	115 1.6×	30 0.4×	15	382
Germana Freire Rocha Caldas	177 1.3×	173 1.4×	77 1.0×	88 1.2×	43 0.6×	14	382
Márcio Adriano Andréo	121 0.9×	98 0.8×	65 0.9×	118 1.6×	48 0.7×	18	346
Thiago Mello Moraes	119 0.9×	134 1.1×	85 1.1×	82 1.1×	69 1.0×	9	353
Mateus Freire Leite	150 1.1×	168 1.3×	39 0.5×	95 1.3×	20 0.3×	15	365
D. R. Kulkarni	189 1.4×	99 0.8×	35 0.5×	57 0.8×	20 0.3×	19	379
Francesca Maialetti	107 0.8×	108 0.9×	38 0.5×	72 1.0×	43 0.6×	14	425
Famous Erhunmwunsee	149 1.1×	206 1.6×	61 0.8×	84 1.1×	19 0.3×	9	426
Karin Maia Monteiro	101 0.7×	135 1.1×	44 0.6×	129 1.7×	27 0.4×	19	377

Countries citing papers authored by Flávia Bonamin

Since Specialization

Citations

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

Fields of papers citing papers by Flávia Bonamin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flávia Bonamin

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