Shawna M. Thayer

11 total papers · 739 total citations
10 papers, 519 citations indexed

About

Shawna M. Thayer is a scholar working on Social Psychology, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Shawna M. Thayer has authored 10 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 7 papers in Clinical Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Shawna M. Thayer's work include Child and Adolescent Psychosocial and Emotional Development (7 papers), Attachment and Relationship Dynamics (5 papers) and Cognitive Abilities and Testing (3 papers). Shawna M. Thayer is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (7 papers), Attachment and Relationship Dynamics (5 papers) and Cognitive Abilities and Testing (3 papers). Shawna M. Thayer collaborates with scholars based in United States and Cameroon. Shawna M. Thayer's co-authors include Kimberly A. Updegraff, Susan M. McHale, Shawn D. Whiteman, Melissa Y. Delgado, Ann C. Crouter, Lorey A. Wheeler, Sarah E. Killoren, Heather M. Helms and Alan Booth and has published in prestigious journals such as Child Development, Journal of Marriage and the Family and Journal of Youth and Adolescence.

In The Last Decade

Shawna M. Thayer

10 papers receiving 486 citations

Author Peers

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

Author Last Decade Papers Cites
Shawna M. Thayer 316 191 188 167 107 10 519
Kimberly A. Rhoades 448 1.4× 117 0.6× 209 1.1× 99 0.6× 69 0.6× 10 584
Inge E. VanderValk 353 1.1× 152 0.8× 238 1.3× 118 0.7× 44 0.4× 12 529
Yuh‐Ling Shen 332 1.1× 174 0.9× 146 0.8× 129 0.8× 48 0.4× 12 540
Jerome Levitt 265 0.8× 150 0.8× 149 0.8× 181 1.1× 53 0.5× 9 512
Amanda Kowal 359 1.1× 201 1.1× 144 0.8× 81 0.5× 164 1.5× 11 561
Evie Kins 309 1.0× 252 1.3× 265 1.4× 86 0.5× 61 0.6× 10 574
Kristen Schoff 330 1.0× 123 0.6× 119 0.6× 219 1.3× 42 0.4× 8 518
Ronald J. Sinclair 234 0.7× 169 0.9× 143 0.8× 291 1.7× 44 0.4× 13 614
Jasmin Aquan‐Assee 301 1.0× 96 0.5× 178 0.9× 112 0.7× 96 0.9× 9 476
Tracy Kempton 441 1.4× 106 0.6× 112 0.6× 96 0.6× 82 0.8× 15 584

Countries citing papers authored by Shawna M. Thayer

Since Specialization
Citations

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

Fields of papers citing papers by Shawna M. Thayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawna M. Thayer. 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 Shawna M. Thayer. The network helps show where Shawna M. Thayer may publish in the future.

Co-authorship network of co-authors of Shawna M. Thayer

This figure shows the co-authorship network connecting the top 25 collaborators of Shawna M. Thayer. A scholar is included among the top collaborators of Shawna M. Thayer 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 Shawna M. Thayer. Shawna M. Thayer 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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