Taylor N. Day

37 total papers · 1.2k total citations
27 papers, 846 citations indexed

About

Taylor N. Day is a scholar working on Clinical Psychology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Taylor N. Day has authored 27 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Clinical Psychology, 20 papers in Cognitive Neuroscience and 11 papers in Psychiatry and Mental health. Recurrent topics in Taylor N. Day's work include Autism Spectrum Disorder Research (16 papers), Family and Disability Support Research (10 papers) and Child and Adolescent Psychosocial and Emotional Development (9 papers). Taylor N. Day is often cited by papers focused on Autism Spectrum Disorder Research (16 papers), Family and Disability Support Research (10 papers) and Child and Adolescent Psychosocial and Emotional Development (9 papers). Taylor N. Day collaborates with scholars based in United States and Israel. Taylor N. Day's co-authors include Carla A. Mazefsky, Nancy J. Minshew, Michael Kofler, Erica L. Wells, Sherelle L. Harmon, Dustin E. Sarver, Jamie A. Spiegel, Paula Aduen, Amy M. Wetherby and Paul A. Pilkonis and has published in prestigious journals such as Child Development, Journal of the American Academy of Child & Adolescent Psychiatry and Behaviour Research and Therapy.

In The Last Decade

Taylor N. Day

26 papers receiving 819 citations

Author Peers

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

Author						Papers	Cites
Taylor N. Day	654	538	415	140	131	27	846
Joshua M. Nadeau	625 1.0×	761 1.4×	308 0.7×	91 0.7×	70 0.5×	38	920
Alexia Rattazzi	633 1.0×	321 0.6×	251 0.6×	113 0.8×	115 0.9×	22	737
Annelies Spek	672 1.0×	411 0.8×	291 0.7×	152 1.1×	87 0.7×	29	810
Amy Keefer	674 1.0×	610 1.1×	372 0.9×	103 0.7×	104 0.8×	22	993
Patricia Renno	663 1.0×	587 1.1×	247 0.6×	135 1.0×	122 0.9×	15	748
Carmen Nieto	725 1.1×	330 0.6×	333 0.8×	185 1.3×	141 1.1×	31	1.0k
Alana J. McVey	596 0.9×	411 0.8×	206 0.5×	118 0.8×	152 1.2×	28	703
J. Gerald Young	498 0.8×	383 0.7×	475 1.1×	141 1.0×	53 0.4×	19	912
Alinda Gillott	640 1.0×	399 0.7×	244 0.6×	160 1.1×	132 1.0×	12	830
Danielle Ung	519 0.8×	524 1.0×	238 0.6×	101 0.7×	82 0.6×	20	746

Countries citing papers authored by Taylor N. Day

Since Specialization

Citations

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

Fields of papers citing papers by Taylor N. Day

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor N. Day. 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 Taylor N. Day. The network helps show where Taylor N. Day may publish in the future.

Co-authorship network of co-authors of Taylor N. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Taylor N. Day. A scholar is included among the top collaborators of Taylor N. Day 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 Taylor N. Day. Taylor N. Day 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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