Regina C. Lapate

53 total papers · 1.3k total citations
27 papers, 780 citations indexed

About

Regina C. Lapate is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Regina C. Lapate has authored 27 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 6 papers in Clinical Psychology. Recurrent topics in Regina C. Lapate's work include Neural and Behavioral Psychology Studies (8 papers), Functional Brain Connectivity Studies (7 papers) and Face Recognition and Perception (5 papers). Regina C. Lapate is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Functional Brain Connectivity Studies (7 papers) and Face Recognition and Perception (5 papers). Regina C. Lapate collaborates with scholars based in United States, United Kingdom and Netherlands. Regina C. Lapate's co-authors include Richard J. Davidson, Carien M. van Reekum, Stacey M. Schaefer, Carol D. Ryff, Catherine J. Norris, Aaron S. Heller, Lawrence L. Greischar, Bas Rokers, Jennifer Morozink Boylan and Barry Radler and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Regina C. Lapate

24 papers receiving 744 citations

Author Peers

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

Author Last Decade Papers Cites
Regina C. Lapate 300 257 252 248 102 27 780
David Marcusson‐Clavertz 316 1.1× 334 1.3× 230 0.9× 191 0.8× 117 1.1× 38 782
Almudena Duque 166 0.6× 320 1.2× 240 1.0× 283 1.1× 81 0.8× 23 726
Kathleen Merikangas 152 0.5× 263 1.0× 108 0.4× 225 0.9× 60 0.6× 25 709
David G. McDonald 207 0.7× 142 0.6× 156 0.6× 170 0.7× 95 0.9× 35 800
John C. Flournoy 332 1.1× 255 1.0× 158 0.6× 245 1.0× 74 0.7× 45 824
Lane Beckes 181 0.6× 250 1.0× 527 2.1× 306 1.2× 130 1.3× 25 864
Gennadij G. Knyazev 376 1.3× 239 0.9× 165 0.7× 363 1.5× 106 1.0× 15 855
Brandon L. Goldstein 190 0.6× 276 1.1× 176 0.7× 501 2.0× 38 0.4× 43 901
Casey L. Brown 261 0.9× 236 0.9× 325 1.3× 223 0.9× 113 1.1× 31 798
Bruce Doré 202 0.7× 235 0.9× 184 0.7× 208 0.8× 107 1.0× 27 667

Countries citing papers authored by Regina C. Lapate

Since Specialization
Citations

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

Fields of papers citing papers by Regina C. Lapate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Regina C. Lapate. 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 Regina C. Lapate. The network helps show where Regina C. Lapate may publish in the future.

Co-authorship network of co-authors of Regina C. Lapate

This figure shows the co-authorship network connecting the top 25 collaborators of Regina C. Lapate. A scholar is included among the top collaborators of Regina C. Lapate 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 Regina C. Lapate. Regina C. Lapate 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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