Renata S. Leite

22 total papers · 719 total citations
21 papers, 527 citations indexed

About

Renata S. Leite is a scholar working on Periodontics, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Renata S. Leite has authored 21 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Periodontics, 7 papers in Public Health, Environmental and Occupational Health and 4 papers in Genetics. Recurrent topics in Renata S. Leite's work include Oral microbiology and periodontitis research (11 papers), Oral Health Pathology and Treatment (7 papers) and Opioid Use Disorder Treatment (5 papers). Renata S. Leite is often cited by papers focused on Oral microbiology and periodontitis research (11 papers), Oral Health Pathology and Treatment (7 papers) and Opioid Use Disorder Treatment (5 papers). Renata S. Leite collaborates with scholars based in United States, Australia and Germany. Renata S. Leite's co-authors include Jyotika K. Fernandes, Neil Marlow, Kathie L. Hermayer, Keith L. Kirkwood, Dipankar Bandyopadhyay, Jenna L. McCauley, Kathleen T. Brady, Roger B. Fillingim, Yan Huang and Elizabeth H. Slate and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal Of Clinical Periodontology and The Journal of the American Dental Association.

In The Last Decade

Renata S. Leite

21 papers receiving 476 citations

Author Peers

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

Author Last Decade Papers Cites
Renata S. Leite 296 145 94 74 51 21 527
Renata Magalhães Cyrino 361 1.2× 93 0.6× 93 1.0× 55 0.7× 26 0.5× 21 462
Livia R. Turgeon 158 0.5× 77 0.5× 89 0.9× 35 0.5× 48 0.9× 16 485
E D Theaker 204 0.7× 98 0.7× 120 1.3× 21 0.3× 31 0.6× 25 606
L. Jorkjend 338 1.1× 26 0.2× 157 1.7× 76 1.0× 35 0.7× 30 482
Satoshi Sekino 367 1.2× 66 0.5× 184 2.0× 57 0.8× 71 1.4× 21 596
Guy Vandenhoven 182 0.6× 64 0.4× 94 1.0× 74 1.0× 44 0.9× 26 619
Patrícia Weidlich 441 1.5× 126 0.9× 120 1.3× 81 1.1× 33 0.6× 26 608
Mats Wallström 218 0.7× 32 0.2× 119 1.3× 141 1.9× 95 1.9× 20 501
Guglielmo Campus 419 1.4× 84 0.6× 93 1.0× 62 0.8× 29 0.6× 15 568
Masayasu Kitamura 297 1.0× 49 0.3× 48 0.5× 89 1.2× 60 1.2× 30 506

Countries citing papers authored by Renata S. Leite

Since Specialization
Citations

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

Fields of papers citing papers by Renata S. Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renata S. Leite. 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 Renata S. Leite. The network helps show where Renata S. Leite may publish in the future.

Co-authorship network of co-authors of Renata S. Leite

This figure shows the co-authorship network connecting the top 25 collaborators of Renata S. Leite. A scholar is included among the top collaborators of Renata S. Leite 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 Renata S. Leite. Renata S. Leite 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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