Paola A. Sequeira

22 total papers · 593 total citations
16 papers, 420 citations indexed

About

Paola A. Sequeira is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Speech and Hearing. According to data from OpenAlex, Paola A. Sequeira has authored 16 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Pediatrics, Perinatology and Child Health and 8 papers in Speech and Hearing. Recurrent topics in Paola A. Sequeira's work include Diabetes Management and Research (12 papers), Adolescent and Pediatric Healthcare (8 papers) and Childhood Cancer Survivors' Quality of Life (8 papers). Paola A. Sequeira is often cited by papers focused on Diabetes Management and Research (12 papers), Adolescent and Pediatric Healthcare (8 papers) and Childhood Cancer Survivors' Quality of Life (8 papers). Paola A. Sequeira collaborates with scholars based in United States. Paola A. Sequeira's co-authors include Anne L. Peters, Elizabeth A. Pyatak, Marc J. Weigensberg, Jamie Wood, Robin Whittemore, Valerie Ruelas, Lucy Montoya, Cheryl Vigen, Kristine Carandang and Jeanine Blanchard and has published in prestigious journals such as Diabetes Care, Bone and Journal of Adolescent Health.

In The Last Decade

Paola A. Sequeira

15 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Paola A. Sequeira 239 201 164 84 52 16 420
Gail Dovey‐Pearce 132 0.6× 370 1.8× 306 1.9× 97 1.2× 19 0.4× 14 489
Frances Thurber 246 1.0× 104 0.5× 134 0.8× 52 0.6× 75 1.4× 14 403
Kaitlyn Rechenberg 255 1.1× 110 0.5× 95 0.6× 84 1.0× 84 1.6× 34 428
Kaye Farrell 196 0.8× 291 1.4× 217 1.3× 60 0.7× 70 1.3× 14 390
Oscar Escobar 290 1.2× 132 0.7× 93 0.6× 38 0.5× 94 1.8× 14 467
Vincent McDarby 377 1.6× 165 0.8× 159 1.0× 52 0.6× 144 2.8× 9 462
Beth Loots 324 1.4× 104 0.5× 131 0.8× 50 0.6× 149 2.9× 9 459
Katherine Wentzell 259 1.1× 62 0.3× 48 0.3× 216 2.6× 116 2.2× 17 474
Nana‐Hawa Yayah Jones 318 1.3× 73 0.4× 72 0.4× 87 1.0× 135 2.6× 24 479
Patrice Yasuda 192 0.8× 39 0.2× 125 0.8× 44 0.5× 80 1.5× 16 410

Countries citing papers authored by Paola A. Sequeira

Since Specialization
Citations

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

Fields of papers citing papers by Paola A. Sequeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paola A. Sequeira. 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 Paola A. Sequeira. The network helps show where Paola A. Sequeira may publish in the future.

Co-authorship network of co-authors of Paola A. Sequeira

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