Kaitlyn Larkin

29 total papers · 516 total citations
16 papers, 297 citations indexed

About

Kaitlyn Larkin is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Neurology. According to data from OpenAlex, Kaitlyn Larkin has authored 16 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Clinical Psychology, 6 papers in Experimental and Cognitive Psychology and 4 papers in Neurology. Recurrent topics in Kaitlyn Larkin's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). Kaitlyn Larkin is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). Kaitlyn Larkin collaborates with scholars based in United States, Canada and Brazil. Kaitlyn Larkin's co-authors include Frank D. Buono, Amir Garakani, Rafael C. Freire, Robyn P. Thom, Dan V. Iosifescu, James W. Murrough, William T. Zempsky, Staci Martin, Lauretta E. Grau and Jennifer Stinson and has published in prestigious journals such as PLoS ONE, Journal of Affective Disorders and Frontiers in Psychology.

In The Last Decade

Kaitlyn Larkin

16 papers receiving 286 citations

Author Peers

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

Author						Papers	Cites
Kaitlyn Larkin	54	54	48	48	47	16	297
Emily Drabant Conley	53 1.0×	38 0.7×	27 0.6×	40 0.8×	51 1.1×	12	271
Jean-François Costemale-Lacoste	60 1.1×	37 0.7×	46 1.0×	35 0.7×	34 0.7×	17	285
J Weissenburger	44 0.8×	83 1.5×	67 1.4×	34 0.7×	120 2.6×	15	363
Cynthia D. Delmo	70 1.3×	49 0.9×	58 1.2×	118 2.5×	56 1.2×	11	333
Uzoezi Ozomaro	68 1.3×	54 1.0×	37 0.8×	41 0.9×	26 0.6×	8	269
Shin-Chang Kuo	44 0.8×	42 0.8×	23 0.5×	66 1.4×	48 1.0×	21	280
Patricia Handschuh	34 0.6×	33 0.6×	32 0.7×	53 1.1×	32 0.7×	26	263
Constanza de Dios	32 0.6×	42 0.8×	51 1.1×	50 1.0×	67 1.4×	26	313
Atsunobu Murata	24 0.4×	27 0.5×	61 1.3×	66 1.4×	70 1.5×	11	313
Van Dang	37 0.7×	25 0.5×	65 1.4×	69 1.4×	54 1.1×	10	326

Countries citing papers authored by Kaitlyn Larkin

Since Specialization

Citations

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

Fields of papers citing papers by Kaitlyn Larkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlyn Larkin. 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 Kaitlyn Larkin. The network helps show where Kaitlyn Larkin may publish in the future.

Co-authorship network of co-authors of Kaitlyn Larkin

This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlyn Larkin. A scholar is included among the top collaborators of Kaitlyn Larkin 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 Kaitlyn Larkin. Kaitlyn Larkin 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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