Fábio Campioni

38 total papers · 494 total citations
27 papers, 389 citations indexed

About

Fábio Campioni is a scholar working on Food Science, Biotechnology and Endocrinology. According to data from OpenAlex, Fábio Campioni has authored 27 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Food Science, 11 papers in Biotechnology and 11 papers in Endocrinology. Recurrent topics in Fábio Campioni's work include Salmonella and Campylobacter epidemiology (22 papers), Listeria monocytogenes in Food Safety (11 papers) and Antibiotic Resistance in Bacteria (9 papers). Fábio Campioni is often cited by papers focused on Salmonella and Campylobacter epidemiology (22 papers), Listeria monocytogenes in Food Safety (11 papers) and Antibiotic Resistance in Bacteria (9 papers). Fábio Campioni collaborates with scholars based in Brazil, United States and United Kingdom. Fábio Campioni's co-authors include Juliana Pfrimer Falcão, Alzira Maria Morato Bergamini, Dália dos Prazeres Rodrigues, Monique Ribeiro Tiba‐Casas, Giovana Verginia Barancelli, André Pitondo‐Silva, Ernani Porto, Carlos Augusto Fernandes de Oliveira, Ernesto Hofer and Adriano G. Cruz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Food Microbiology.

In The Last Decade

Fábio Campioni

27 papers receiving 385 citations

Author Peers

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

Author						Papers	Cites
Fábio Campioni	323	135	132	111	87	27	389
You-Wun Wang	230 0.7×	198 1.5×	166 1.3×	51 0.5×	59 0.7×	26	378
Sandra Simon	267 0.8×	124 0.9×	101 0.8×	60 0.5×	119 1.4×	29	433
W. A. Gebreyes	246 0.8×	82 0.6×	123 0.9×	65 0.6×	102 1.2×	12	398
J. Kleer	348 1.1×	128 0.9×	79 0.6×	98 0.9×	94 1.1×	29	415
Dai Kuang	260 0.8×	114 0.8×	152 1.2×	108 1.0×	67 0.8×	26	388
V Hasseltvedt	179 0.6×	134 1.0×	87 0.7×	73 0.7×	56 0.6×	25	425
Pravin R. Kaldhone	246 0.8×	85 0.6×	160 1.2×	83 0.7×	68 0.8×	19	374
Slawomir Owczarek	380 1.2×	137 1.0×	181 1.4×	119 1.1×	36 0.4×	16	435
María Inés Caffer	204 0.6×	126 0.9×	125 0.9×	50 0.5×	42 0.5×	28	353
Xiaoyun Qu	267 0.8×	84 0.6×	161 1.2×	66 0.6×	97 1.1×	21	383

Countries citing papers authored by Fábio Campioni

Since Specialization

Citations

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

Fields of papers citing papers by Fábio Campioni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fábio Campioni

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