Audrei Pavanello

54 total papers · 631 total citations
32 papers, 397 citations indexed

About

Audrei Pavanello is a scholar working on Physiology, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Audrei Pavanello has authored 32 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 16 papers in Pediatrics, Perinatology and Child Health and 8 papers in Surgery. Recurrent topics in Audrei Pavanello's work include Birth, Development, and Health (16 papers), Diet and metabolism studies (13 papers) and Adipose Tissue and Metabolism (8 papers). Audrei Pavanello is often cited by papers focused on Birth, Development, and Health (16 papers), Diet and metabolism studies (13 papers) and Adipose Tissue and Metabolism (8 papers). Audrei Pavanello collaborates with scholars based in Brazil, United States and France. Audrei Pavanello's co-authors include Paulo Cézar de Freitas Mathias, Júlio Cézar de Oliveira, Tatiane Aparecida Ribeiro, Claudinéia Conationi da Silva Franco, Laize Peron Tófolo, Rosiane Aparecida Miranda, Ananda Malta, Luiz F. Barella, Kesia Palma‐Rigo and Isabela Peixoto Martins and has published in prestigious journals such as Scientific Reports, Endocrinology and Nutrients.

In The Last Decade

Audrei Pavanello

27 papers receiving 391 citations

Author Peers

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

Author						Papers	Cites
Audrei Pavanello	191	168	89	55	52	32	397
Tatiane Aparecida Ribeiro	193 1.0×	205 1.2×	77 0.9×	73 1.3×	67 1.3×	32	429
Laize Peron Tófolo	168 0.9×	186 1.1×	74 0.8×	48 0.9×	60 1.2×	25	378
José Firmino Nogueira-Neto	168 0.9×	125 0.7×	67 0.8×	49 0.9×	22 0.4×	15	387
Leonardo Máximo Cardoso	106 0.6×	159 0.9×	66 0.7×	44 0.8×	44 0.8×	37	439
Kesia Palma‐Rigo	89 0.5×	113 0.7×	49 0.6×	71 1.3×	44 0.8×	28	383
Rosana Torrezan	144 0.8×	191 1.1×	98 1.1×	87 1.6×	90 1.7×	24	405
Jairza Maria Barreto Medeiros	101 0.5×	182 1.1×	55 0.6×	45 0.8×	19 0.4×	47	433
K-L. Catherine Jen	112 0.6×	178 1.1×	104 1.2×	116 2.1×	39 0.8×	19	423
Maria G. Tavares do Carmo	174 0.9×	115 0.7×	244 2.7×	34 0.6×	18 0.3×	23	397
Sanya Roysommuti	225 1.2×	108 0.6×	41 0.5×	82 1.5×	29 0.6×	43	433

Countries citing papers authored by Audrei Pavanello

Since Specialization

Citations

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

Fields of papers citing papers by Audrei Pavanello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrei Pavanello

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