Paula D. Prince

26 total papers · 539 total citations
14 papers, 453 citations indexed

About

Paula D. Prince is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Paula D. Prince has authored 14 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biochemistry, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Physiology. Recurrent topics in Paula D. Prince's work include Phytochemicals and Antioxidant Activities (6 papers), Diet, Metabolism, and Disease (5 papers) and Nitric Oxide and Endothelin Effects (3 papers). Paula D. Prince is often cited by papers focused on Phytochemicals and Antioxidant Activities (6 papers), Diet, Metabolism, and Disease (5 papers) and Nitric Oxide and Endothelin Effects (3 papers). Paula D. Prince collaborates with scholars based in Argentina, United States and Poland. Paula D. Prince's co-authors include Mónica Galleano, César G. Fraga, Jorge E. Toblli, Bárbara Piotrkowski, María C. Litterio, Valeria Calabró, Patricia I. Oteiza, Cecilia Rodríguez Lanzi, Roberto Miatello and Marcela Alejandra Vazquez-Prieto and has published in prestigious journals such as Free Radical Biology and Medicine, Annals of the New York Academy of Sciences and Life Sciences.

In The Last Decade

Paula D. Prince

13 papers receiving 449 citations

Author Peers

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

Author Last Decade Papers Cites
Paula D. Prince 131 119 118 83 77 14 453
Marcela Alejandra Vazquez-Prieto 111 0.8× 119 1.0× 121 1.0× 72 0.9× 57 0.7× 10 488
Valeria Calabró 122 0.9× 73 0.6× 130 1.1× 79 1.0× 57 0.7× 18 516
Barbara Buchetti 133 1.0× 78 0.7× 94 0.8× 68 0.8× 59 0.8× 11 483
Sithandiwe E. Mazibuko 102 0.8× 91 0.8× 179 1.5× 154 1.9× 52 0.7× 8 447
Antonio Zarzuelo 158 1.2× 97 0.8× 179 1.5× 158 1.9× 73 0.9× 12 548
Izabelle Barcellos Santos 187 1.4× 131 1.1× 101 0.9× 142 1.7× 58 0.8× 19 527
James I Dower 225 1.7× 100 0.8× 92 0.8× 69 0.8× 102 1.3× 9 534
Dezheng Gong 92 0.7× 58 0.5× 156 1.3× 75 0.9× 38 0.5× 22 546
Yeni Lim 94 0.7× 94 0.8× 139 1.2× 58 0.7× 32 0.4× 28 460
D Sandler 83 0.6× 107 0.9× 89 0.8× 68 0.8× 57 0.7× 11 451

Countries citing papers authored by Paula D. Prince

Since Specialization
Citations

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

Fields of papers citing papers by Paula D. Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula D. Prince. 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 Paula D. Prince. The network helps show where Paula D. Prince may publish in the future.

Co-authorship network of co-authors of Paula D. Prince

This figure shows the co-authorship network connecting the top 25 collaborators of Paula D. Prince. A scholar is included among the top collaborators of Paula D. Prince 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 Paula D. Prince. Paula D. Prince 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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