Patricia T. Becker

72 total papers · 924 total citations
34 papers, 697 citations indexed

About

Patricia T. Becker is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Psychology and Pharmacy. According to data from OpenAlex, Patricia T. Becker has authored 34 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pediatrics, Perinatology and Child Health, 16 papers in Clinical Psychology and 10 papers in Pharmacy. Recurrent topics in Patricia T. Becker's work include Infant Development and Preterm Care (14 papers), Family and Disability Support Research (10 papers) and Infant Health and Development (10 papers). Patricia T. Becker is often cited by papers focused on Infant Development and Preterm Care (14 papers), Family and Disability Support Research (10 papers) and Infant Health and Development (10 papers). Patricia T. Becker collaborates with scholars based in United States, South Africa and United Kingdom. Patricia T. Becker's co-authors include Evelyn B. Thoman, Jane E. Brazy, Christine Acebo, Marion Becker, Kristin F. Lutz, Susan K. Riesch, Lori Anderson, Roger Brown, Karen F. Pridham and Kay Engelhardt and has published in prestigious journals such as Science, Child Development and Journal of Advanced Nursing.

In The Last Decade

Patricia T. Becker

31 papers receiving 646 citations

Author Peers

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

Author Last Decade Papers Cites
Patricia T. Becker 413 200 188 171 96 34 697
Lina Kurdahi Zahr 382 0.9× 224 1.1× 152 0.8× 151 0.9× 46 0.5× 30 651
Rosemarie Bigsby 586 1.4× 142 0.7× 305 1.6× 234 1.4× 139 1.4× 22 763
Ashley Darcy Mahoney 331 0.8× 112 0.6× 193 1.0× 75 0.4× 112 1.2× 36 770
Madalynn Neu 485 1.2× 131 0.7× 190 1.0× 228 1.3× 76 0.8× 37 680
Linda Gilkerson 468 1.1× 283 1.4× 244 1.3× 151 0.9× 87 0.9× 33 718
Celia Harding 229 0.6× 150 0.8× 113 0.6× 71 0.4× 72 0.8× 50 586
J. Kevin Nugent 428 1.0× 293 1.5× 92 0.5× 174 1.0× 19 0.2× 38 738
Eleonora Mascheroni 506 1.2× 285 1.4× 129 0.7× 115 0.7× 138 1.4× 40 770
Manuela Filippa 582 1.4× 60 0.3× 88 0.5× 438 2.6× 46 0.5× 41 731
Thaíla Corrêa Castral 468 1.1× 42 0.2× 112 0.6× 197 1.2× 53 0.6× 44 607

Countries citing papers authored by Patricia T. Becker

Since Specialization
Citations

This map shows the geographic impact of Patricia T. Becker'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 Patricia T. Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia T. Becker more than expected).

Fields of papers citing papers by Patricia T. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia T. Becker. 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 Patricia T. Becker. The network helps show where Patricia T. Becker may publish in the future.

Co-authorship network of co-authors of Patricia T. Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia T. Becker. A scholar is included among the top collaborators of Patricia T. Becker 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 Patricia T. Becker. Patricia T. Becker 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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