Justin Parreno

57 total papers · 729 total citations
36 papers, 479 citations indexed

About

Justin Parreno is a scholar working on Rheumatology, Molecular Biology and Cell Biology. According to data from OpenAlex, Justin Parreno has authored 36 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Rheumatology, 14 papers in Molecular Biology and 11 papers in Cell Biology. Recurrent topics in Justin Parreno's work include Osteoarthritis Treatment and Mechanisms (15 papers), Connexins and lens biology (10 papers) and Tendon Structure and Treatment (9 papers). Justin Parreno is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (15 papers), Connexins and lens biology (10 papers) and Tendon Structure and Treatment (9 papers). Justin Parreno collaborates with scholars based in United States, Canada and United Kingdom. Justin Parreno's co-authors include Rita A. Kandel, Velia M. Fowler, David A. Hart, Catherine Cheng, Sneha Raju, Roberta B. Nowak, Vanessa Bianchi, David Backstein, Naoto Yagi and Juliet A. Moncaster and has published in prestigious journals such as The Journal of Physiology, FEBS Letters and Science Advances.

In The Last Decade

Justin Parreno

32 papers receiving 477 citations

Author Peers

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

Author Last Decade Papers Cites
Justin Parreno 184 164 123 91 73 36 479
Linyi Cai 152 0.8× 210 1.3× 100 0.8× 67 0.7× 55 0.8× 21 483
Anna Hyc 224 1.2× 91 0.6× 69 0.6× 99 1.1× 45 0.6× 42 483
Anne Gigout 292 1.6× 162 1.0× 42 0.3× 113 1.2× 65 0.9× 27 490
Yuki Tanne 283 1.5× 132 0.8× 79 0.6× 87 1.0× 21 0.3× 29 514
K. K�hn 126 0.7× 111 0.7× 86 0.7× 79 0.9× 70 1.0× 18 483
Carol A. Pacione 372 2.0× 110 0.7× 75 0.6× 211 2.3× 42 0.6× 15 542
Katsura Sugawara 231 1.3× 108 0.7× 69 0.6× 154 1.7× 128 1.8× 24 444
R. Raiss 340 1.8× 49 0.3× 71 0.6× 145 1.6× 45 0.6× 18 419
Junichi Shida 230 1.3× 129 0.8× 65 0.5× 220 2.4× 44 0.6× 15 508
Qiang Lin 238 1.3× 110 0.7× 53 0.4× 85 0.9× 23 0.3× 20 499

Countries citing papers authored by Justin Parreno

Since Specialization
Citations

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

Fields of papers citing papers by Justin Parreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Parreno

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