Flavio Cadegiani

108 total papers · 1.8k total citations
45 papers, 819 citations indexed

About

Flavio Cadegiani is a scholar working on Infectious Diseases, Rehabilitation and Orthopedics and Sports Medicine. According to data from OpenAlex, Flavio Cadegiani has authored 45 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 15 papers in Rehabilitation and 14 papers in Orthopedics and Sports Medicine. Recurrent topics in Flavio Cadegiani's work include Exercise and Physiological Responses (15 papers), Sports Performance and Training (14 papers) and COVID-19 Clinical Research Studies (12 papers). Flavio Cadegiani is often cited by papers focused on Exercise and Physiological Responses (15 papers), Sports Performance and Training (14 papers) and COVID-19 Clinical Research Studies (12 papers). Flavio Cadegiani collaborates with scholars based in Brazil, United States and Portugal. Flavio Cadegiani's co-authors include Cláudio E. Kater, Andy Goren, Carlos Gustavo Wambier, John McCoy, Ricardo Ariel Zimerman, Sergio Vañó‐Galván, Antonellá Tosti, Jerry Shapiro, Rodney Sinclair and Scott C. Forbes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Sports Sciences and Frontiers in Endocrinology.

In The Last Decade

Flavio Cadegiani

45 papers receiving 778 citations

Author Peers

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

Author Last Decade Papers Cites
Flavio Cadegiani 235 229 210 120 98 45 819
Christopher A. Moore 73 0.3× 331 1.4× 252 1.2× 130 1.1× 104 1.1× 43 969
David Varillas‐Delgado 47 0.2× 177 0.8× 31 0.1× 175 1.5× 97 1.0× 84 791
Solange Marta Franzói de Moraes 30 0.1× 449 2.0× 139 0.7× 100 0.8× 287 2.9× 60 1.0k
Marco Gervasi 29 0.1× 154 0.7× 96 0.5× 108 0.9× 256 2.6× 48 860
Dongling Zhong 61 0.3× 34 0.1× 144 0.7× 33 0.3× 106 1.1× 55 957
Liesbet De Baets 34 0.1× 86 0.4× 99 0.5× 77 0.6× 133 1.4× 65 1.0k
Tom A. Ranger 52 0.2× 137 0.6× 23 0.1× 124 1.0× 55 0.6× 27 857
C. Fédou 59 0.3× 145 0.6× 77 0.4× 343 2.9× 393 4.0× 48 885
Rhys Thatcher 39 0.2× 261 1.1× 160 0.8× 152 1.3× 235 2.4× 40 855
Zahra Alizadeh 35 0.1× 62 0.3× 55 0.3× 39 0.3× 330 3.4× 71 1.0k

Countries citing papers authored by Flavio Cadegiani

Since Specialization
Citations

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

Fields of papers citing papers by Flavio Cadegiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavio Cadegiani

This figure shows the co-authorship network connecting the top 25 collaborators of Flavio Cadegiani. A scholar is included among the top collaborators of Flavio Cadegiani 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 Flavio Cadegiani. Flavio Cadegiani 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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2026