Laura Machlin

37 total papers · 874 total citations
28 papers, 599 citations indexed

About

Laura Machlin is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Behavioral Neuroscience. According to data from OpenAlex, Laura Machlin has authored 28 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Clinical Psychology, 7 papers in Experimental and Cognitive Psychology and 6 papers in Behavioral Neuroscience. Recurrent topics in Laura Machlin's work include Child and Adolescent Psychosocial and Emotional Development (18 papers), Child Abuse and Trauma (11 papers) and Stress Responses and Cortisol (6 papers). Laura Machlin is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (18 papers), Child Abuse and Trauma (11 papers) and Stress Responses and Cortisol (6 papers). Laura Machlin collaborates with scholars based in United States, Czechia and Belgium. Laura Machlin's co-authors include Margaret A. Sheridan, Katie A. McLaughlin, Adam Bryant Miller, Jenna Snyder, Melissa A. Brotman, Daniel S. Pine, Elizabeth Moroney, John M. Hettema, Roxann Roberson‐Nay and Ellen Leibenluft and has published in prestigious journals such as American Journal of Psychiatry, Biological Psychiatry and Cerebral Cortex.

In The Last Decade

Laura Machlin

28 papers receiving 594 citations

Author Peers

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

Author						Papers	Cites
Laura Machlin	421	124	117	115	91	28	599
Tyler C. Hein	369 0.9×	148 1.2×	86 0.7×	59 0.5×	55 0.6×	22	568
Arianna M. Gard	401 1.0×	137 1.1×	126 1.1×	79 0.7×	103 1.1×	29	679
Justin D. Russell	341 0.8×	105 0.8×	145 1.2×	45 0.4×	84 0.9×	35	574
Alva Tang	319 0.8×	185 1.5×	167 1.4×	61 0.5×	73 0.8×	37	613
Elizabeth Bolger	427 1.0×	79 0.6×	79 0.7×	68 0.6×	40 0.4×	15	591
Ge Xiong	296 0.7×	129 1.0×	119 1.0×	59 0.5×	32 0.4×	23	497
Brittany E. Evans	222 0.5×	152 1.2×	117 1.0×	52 0.5×	53 0.6×	40	553
Chiara A. M. Spatola	341 0.8×	57 0.5×	203 1.7×	72 0.6×	61 0.7×	28	612
Vanessa B. Puetz	463 1.1×	128 1.0×	98 0.8×	54 0.5×	40 0.4×	24	640
Jill Portnoy	396 0.9×	82 0.7×	79 0.7×	77 0.7×	38 0.4×	30	668

Countries citing papers authored by Laura Machlin

Since Specialization

Citations

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

Fields of papers citing papers by Laura Machlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Machlin

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