Paolo Parisi

54 total papers · 537 total citations
23 papers, 421 citations indexed

About

Paolo Parisi is a scholar working on Rehabilitation, Physiology and Genetics. According to data from OpenAlex, Paolo Parisi has authored 23 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rehabilitation, 6 papers in Physiology and 5 papers in Genetics. Recurrent topics in Paolo Parisi's work include Exercise and Physiological Responses (6 papers), Cognitive Abilities and Testing (3 papers) and Adipose Tissue and Metabolism (3 papers). Paolo Parisi is often cited by papers focused on Exercise and Physiological Responses (6 papers), Cognitive Abilities and Testing (3 papers) and Adipose Tissue and Metabolism (3 papers). Paolo Parisi collaborates with scholars based in Italy, United States and Denmark. Paolo Parisi's co-authors include Daniela Caporossi, Ivan Dimauro, Monica Pittaluga, Stefania Sabatini, L. Gedda, Andrea Brunelli, Guglielmo Duranti, Attilio Parisi, Maria Reyes Beltran‐Valls and Paolo Caserotti and has published in prestigious journals such as Medicine & Science in Sports & Exercise, BMC Public Health and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Paolo Parisi

22 papers receiving 408 citations

Author Peers

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

Author Last Decade Papers Cites
Paolo Parisi 141 132 96 56 54 23 421
Hsiun-ing Chen 119 0.8× 89 0.7× 68 0.7× 32 0.6× 47 0.9× 18 385
D. Merino 202 1.4× 120 0.9× 126 1.3× 116 2.1× 50 0.9× 20 483
Reza Gharakhanlou 214 1.5× 84 0.6× 113 1.2× 25 0.4× 36 0.7× 47 428
Sunghwun Kang 274 1.9× 73 0.6× 81 0.8× 43 0.8× 49 0.9× 48 463
Paulo Guimarães Gandra 137 1.0× 109 0.8× 139 1.4× 109 1.9× 93 1.7× 15 410
Daniela Sayuri Inoue 228 1.6× 151 1.1× 27 0.3× 39 0.7× 127 2.4× 25 485
Daniel Paulino Venâncio 161 1.1× 45 0.3× 48 0.5× 24 0.4× 27 0.5× 23 461
Ivan Gustavo Masselli dos Reis 183 1.3× 96 0.7× 40 0.4× 93 1.7× 116 2.1× 46 470
Karina Ghisoni 121 0.9× 60 0.5× 84 0.9× 21 0.4× 17 0.3× 13 408
William W. Heusner 143 1.0× 56 0.4× 112 1.2× 162 2.9× 70 1.3× 31 492

Countries citing papers authored by Paolo Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Parisi

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