Bailey Holt-Gosselin

980 total citations · 1 hit paper
20 papers, 557 citations indexed

About

Bailey Holt-Gosselin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Bailey Holt-Gosselin has authored 20 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 6 papers in Clinical Psychology. Recurrent topics in Bailey Holt-Gosselin's work include Functional Brain Connectivity Studies (12 papers), Mental Health Research Topics (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers). Bailey Holt-Gosselin is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), Mental Health Research Topics (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers). Bailey Holt-Gosselin collaborates with scholars based in United States, Australia and Spain. Bailey Holt-Gosselin's co-authors include Leanne M. Williams, Brooke R. Staveland, Arielle S. Keller, John E. Leikauf, Leonardo Tozzi, Megan Chesnut, Xue Zhang, Andrea Goldstein‐Piekarski, Patrick Stetz and Jun Ma and has published in prestigious journals such as Nature Medicine, NeuroImage and Biological Psychiatry.

In The Last Decade

Bailey Holt-Gosselin

20 papers receiving 551 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety

2024 80 citations Leonardo Tozzi, Xue Zhang et al. Nature Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bailey Holt-Gosselin United States	10	312	250	113	78	70	20	557
Arielle S. Keller United States	10	357 1.1×	211 0.8×	84 0.7×	65 0.8×	48 0.7×	29	592
Yangqian Shen United States	6	328 1.1×	256 1.0×	121 1.1×	69 0.9×	35 0.5×	9	507
Thomas Sobanski Germany	10	339 1.1×	243 1.0×	122 1.1×	117 1.5×	112 1.6×	25	646
Maria M. Rive Netherlands	6	402 1.3×	249 1.0×	90 0.8×	159 2.0×	86 1.2×	7	602
Brooke R. Staveland United States	5	252 0.8×	184 0.7×	64 0.6×	59 0.8×	70 1.0×	7	401
Georgia O’Callaghan United States	8	266 0.9×	241 1.0×	182 1.6×	80 1.0×	56 0.8×	12	543
Peter C. Clasen United States	10	272 0.9×	310 1.2×	164 1.5×	47 0.6×	45 0.6×	12	563
Shin-ichi Suzuki Japan	11	407 1.3×	339 1.4×	134 1.2×	101 1.3×	104 1.5×	14	704
Eduardo López‐Caneda Portugal	19	456 1.5×	151 0.6×	148 1.3×	90 1.2×	46 0.7×	35	954
Matthew E. Hudgens‐Haney United States	9	342 1.1×	220 0.9×	122 1.1×	142 1.8×	25 0.4×	13	559

Countries citing papers authored by Bailey Holt-Gosselin

Since Specialization

Citations

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

Fields of papers citing papers by Bailey Holt-Gosselin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bailey Holt-Gosselin. 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 Bailey Holt-Gosselin. The network helps show where Bailey Holt-Gosselin may publish in the future.

Co-authorship network of co-authors of Bailey Holt-Gosselin

This figure shows the co-authorship network connecting the top 25 collaborators of Bailey Holt-Gosselin. A scholar is included among the top collaborators of Bailey Holt-Gosselin 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 Bailey Holt-Gosselin. Bailey Holt-Gosselin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brieant, Alexis, Tingting Cai, Ka I Ip, Bailey Holt-Gosselin, & Dylan G. Gee. (2025). Heterogeneity in Developmental Trajectories of Internalizing and Externalizing Symptomatology: Associations with Risk and Protective Factors. Child Psychiatry & Human Development. 1 indexed citations

Tozzi, Leonardo, Xue Zhang, Adam Pines, et al.. (2024). Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety. Nature Medicine. 30(7). 2076–2087. 80 indexed citations breakdown →

Holt-Gosselin, Bailey, Taylor J. Keding, Timothy Hendrickson, et al.. (2024). Familial risk for depression moderates neural circuitry in healthy preadolescents to predict adolescent depression symptoms in the Adolescent Brain Cognitive Development (ABCD) Study. Developmental Cognitive Neuroscience. 68. 101400–101400. 1 indexed citations

Holt-Gosselin, Bailey, Taylor J. Keding, Alexis Brieant, et al.. (2023). 12. Neural Circuit Markers of Familial Risk for Depression Among Healthy Youth in the Adolescent Brain Cognitive Development (ABCD) Study. Biological Psychiatry. 93(9). S74–S74. 3 indexed citations

Holt-Gosselin, Bailey, Taylor J. Keding, Alexis Brieant, et al.. (2023). Neural Circuit Markers of Familial Risk for Depression Among Healthy Youths in the Adolescent Brain Cognitive Development Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 9(2). 185–195. 1 indexed citations

Fischer, Adina S., Bailey Holt-Gosselin, Kelsey E. Hagan, et al.. (2022). Intrinsic Connectivity and Family Dynamics: Striatolimbic Markers of Risk and Resilience in Youth at Familial Risk for Mood Disorders. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 7(9). 855–866. 11 indexed citations

Holt-Gosselin, Bailey, et al.. (2022). Lack of robust associations between prepandemic coping strategies and frontolimbic circuitry with depression and anxiety symptoms during the COVID-19 pandemic: A preregistered longitudinal study.. Behavioral Neuroscience. 136(6). 528–540. 2 indexed citations

Cohodes, Emily M., et al.. (2022). Associations Between Early-Life Stress Exposure and Internalizing Symptomatology During the COVID-19 Pandemic: Assessing the Role of Neurobehavioral Mediators. Biological Psychiatry Global Open Science. 3(3). 362–373. 1 indexed citations

Tozzi, Leonardo, et al.. (2021). Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination. NeuroImage Clinical. 30. 102570–102570. 71 indexed citations

10.

Holt-Gosselin, Bailey, et al.. (2021). Greater baseline connectivity of the salience and negative affect circuits are associated with natural improvements in anxiety over time in untreated participants. Journal of Affective Disorders. 295. 366–376. 1 indexed citations

11.

Goldstein‐Piekarski, Andrea, Tali M. Ball, Zoe Samara, et al.. (2021). Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety. Biological Psychiatry. 91(6). 561–571. 82 indexed citations

12.

Holt-Gosselin, Bailey, et al.. (2021). Coping Strategies, Neural Structure, and Depression and Anxiety During the COVID-19 Pandemic: A Longitudinal Study in a Naturalistic Sample Spanning Clinical Diagnoses and Subclinical Symptoms. Biological Psychiatry Global Open Science. 1(4). 261–271. 20 indexed citations

13.

Fischer, Adina S., Bailey Holt-Gosselin, Scott L. Fleming, et al.. (2020). Intrinsic reward circuit connectivity profiles underlying symptom and quality of life outcomes following antidepressant medication: a report from the iSPOT-D trial. Neuropsychopharmacology. 46(4). 809–819. 19 indexed citations

14.

Goldstein‐Piekarski, Andrea, Tali M. Ball, Zoe Samara, et al.. (2020). Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety. SSRN Electronic Journal. 3 indexed citations

15.

Tozzi, Leonardo, Brooke R. Staveland, Bailey Holt-Gosselin, et al.. (2020). The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression. NeuroImage. 214. 116715–116715. 34 indexed citations

16.

Fischer, Adina S., et al.. (2020). Family Dynamics and Emotion Processing: Functional Connectivity Biomarkers of Risk and Resilience in Youth at Familial Risk for Mood Disorders. Biological Psychiatry. 87(9). S288–S288. 1 indexed citations

17.

Keller, Arielle S., John E. Leikauf, Bailey Holt-Gosselin, Brooke R. Staveland, & Leanne M. Williams. (2019). Paying attention to attention in depression. Translational Psychiatry. 9(1). 279–279. 191 indexed citations

18.

Goldstein‐Piekarski, Andrea, et al.. (2019). Integrating sleep, neuroimaging, and computational approaches for precision psychiatry. Neuropsychopharmacology. 45(1). 192–204. 21 indexed citations

19.

Holt-Gosselin, Bailey, et al.. (2019). Worth working for: The influence of effort costs on teens’ choices during a novel decision making game. Developmental Cognitive Neuroscience. 37. 100652–100652. 13 indexed citations

20.

Holt-Gosselin, Bailey, et al.. (2016). 6.127 RELATIONSHIP BETWEEN ADVERSE CHILDHOOD EXPERIENCES AND METABOLIC AND PSYCHIATRIC OUTCOMES USING THE YALE-VERMONT ADVERSITY IN CHILDHOOD SCALE. Journal of the American Academy of Child & Adolescent Psychiatry. 55(10). S244–S245. 1 indexed citations

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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