Rebecca C. Shaffer

106 total papers · 2.4k total citations
63 papers, 967 citations indexed

About

Rebecca C. Shaffer is a scholar working on Cognitive Neuroscience, Genetics and Clinical Psychology. According to data from OpenAlex, Rebecca C. Shaffer has authored 63 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 32 papers in Genetics and 29 papers in Clinical Psychology. Recurrent topics in Rebecca C. Shaffer's work include Autism Spectrum Disorder Research (46 papers), Genetics and Neurodevelopmental Disorders (32 papers) and Family and Disability Support Research (19 papers). Rebecca C. Shaffer is often cited by papers focused on Autism Spectrum Disorder Research (46 papers), Genetics and Neurodevelopmental Disorders (32 papers) and Family and Disability Support Research (19 papers). Rebecca C. Shaffer collaborates with scholars based in United States, United Kingdom and Canada. Rebecca C. Shaffer's co-authors include Craig A. Erickson, Ernest V. Pedapati, Logan Wink, Kelli C. Dominick, Lauren Schmitt, Carla A. Mazefsky, Paul S. Horn, Anna J. Esbensen, Matthew Siegel and Giulia Righi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Current Biology.

In The Last Decade

Rebecca C. Shaffer

56 papers receiving 955 citations

Author Peers

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

Author						Papers	Cites
Rebecca C. Shaffer	682	355	317	276	127	63	967
Emily S. Kuschner	809 1.2×	263 0.7×	187 0.6×	321 1.2×	115 0.9×	46	1.1k
Clara Lajonchere	805 1.2×	449 1.3×	346 1.1×	262 0.9×	150 1.2×	29	1.2k
Erik J. Mulder	738 1.1×	355 1.0×	323 1.0×	305 1.1×	135 1.1×	24	1.1k
Kandice J. Varcin	822 1.2×	239 0.7×	418 1.3×	379 1.4×	90 0.7×	55	1.2k
Loyse Hippolyte	677 1.0×	318 0.9×	196 0.6×	131 0.5×	150 1.2×	22	932
Danielle Baribeau	408 0.6×	180 0.5×	241 0.8×	219 0.8×	113 0.9×	32	901
Nahit Motavallı Mukaddes	719 1.1×	269 0.8×	459 1.4×	421 1.5×	214 1.7×	42	1.2k
Jean Xavier	674 1.0×	215 0.6×	208 0.7×	244 0.9×	112 0.9×	36	1.0k
Michael Davidovitch	693 1.0×	264 0.7×	325 1.0×	391 1.4×	64 0.5×	39	1.1k
John Wray	829 1.2×	227 0.6×	449 1.4×	440 1.6×	113 0.9×	41	1.2k

Countries citing papers authored by Rebecca C. Shaffer

Since Specialization

Citations

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

Fields of papers citing papers by Rebecca C. Shaffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca C. Shaffer

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