John Prindle

1.5k total citations
59 papers, 975 citations indexed

About

John Prindle is a scholar working on Clinical Psychology, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, John Prindle has authored 59 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Clinical Psychology, 18 papers in General Health Professions and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in John Prindle's work include Child Abuse and Trauma (25 papers), Homelessness and Social Issues (15 papers) and Migration, Health and Trauma (10 papers). John Prindle is often cited by papers focused on Child Abuse and Trauma (25 papers), Homelessness and Social Issues (15 papers) and Migration, Health and Trauma (10 papers). John Prindle collaborates with scholars based in United States, Germany and Canada. John Prindle's co-authors include Emily Putnam‐Hornstein, John J. McArdle, Jordan P. Davis, Andreas M. Brandmaier, Ulman Lindenberger, Penelope K. Trickett, Kihyun Kim, John M. Leventhal, Yee Lee Shing and Eric R. Pedersen and has published in prestigious journals such as PLoS ONE, NeuroImage and PEDIATRICS.

In The Last Decade

John Prindle

52 papers receiving 950 citations

Peers

John Prindle

GHP

PPCH

ECP

Primrose Letcher Australia

Wenxing Zha United States

Daniel L. Dickerson United States

Mark A. Prince United States

Vivian B. Faden United States

Ya-Fen Chan United States

Charles‐Édouard Giguère Canada

Ali Cheetham Australia

Sarah L. Pedersen United States

Håkan Källmén Sweden

Primrose Letcher Australia

John Prindle

710 ×1.6

253 ×1.1

GHP

183 ×0.9

PPCH

113 ×0.9

ECP

127 ×1.1

Citations per year, relative to John Prindle John Prindle (= 1×) peers Primrose Letcher

Countries citing papers authored by John Prindle

Since Specialization

Citations

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

Fields of papers citing papers by John Prindle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Prindle

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

Davis, Jordan P., Daniel Leightley, Eric R. Pedersen, et al.. (2025). Daily associations between sleep quality, stress, and cannabis or alcohol use among veterans. Drug and Alcohol Dependence. 271. 112661–112661.

Prindle, John, et al.. (2024). “You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. 7268–7287. 3 indexed citations

Davis, Jordan P., John Prindle, Esther Howe, et al.. (2024). Bidirectional Associations Between Pain and Perceived Stress Among Veterans: Depressive Disorder as a Predisposing Factor. Psychosomatic Medicine. 86(1). 44–51.

Prindle, John, et al.. (2024). Probabilistic Record Linkage for Families (PRLF): A Discussion of the Development and Validation of this Open-Source Linkage Tool. International Journal for Population Data Science. 9(5).

Rebbe, Rebecca, et al.. (2024). U.S. State rates of newborns reported to child protection at birth for prenatal substance exposure. International Journal of Drug Policy. 130. 104527–104527. 4 indexed citations

Pedersen, Eric R., Jordan P. Davis, Joan S. Tucker, et al.. (2023). Longitudinal associations among experiences of sexual assault, posttraumatic stress disorder symptoms, and heavy drinking in young adults. Journal of Traumatic Stress. 37(2). 243–256.

Davis, Jordan P., et al.. (2023). Longitudinal associations between insomnia, cannabis use and stress among US veterans. Journal of Sleep Research. 33(1). e13945–e13945. 4 indexed citations

Davis, Jordan P., Eric R. Pedersen, Joan S. Tucker, et al.. (2023). Directional associations between cannabis use and depression from late adolescence to young adulthood: the role of adverse childhood experiences. Addiction. 118(6). 1083–1092. 9 indexed citations

Prindle, John, et al.. (2023). An open-source probabilistic record linkage process for records with family-level information: Simulation study and applied analysis. PLoS ONE. 18(10). e0291581–e0291581. 4 indexed citations

10.

Davis, Jordan P., Eric R. Pedersen, Joan S. Tucker, et al.. (2023). Directional associations between posttraumatic stress disorder symptoms and cannabis use in young adults: Uncovering variation by sex, race, and ethnicity.. Psychology of Addictive Behaviors. 37(8). 1052–1065.

11.

Prindle, John, et al.. (2023). Changes in Household Challenges and Subsequent Child Welfare Report. American Journal of Preventive Medicine. 64(5). 677–685.

12.

Davis, Jordan P., Eric R. Pedersen, Joan S. Tucker, et al.. (2022). Directional associations between cannabis use and anxiety symptoms from late adolescence through young adulthood. Drug and Alcohol Dependence. 241. 109704–109704. 6 indexed citations

13.

Putnam‐Hornstein, Emily, et al.. (2022). A Population-Based Study of Mental Health Diagnoses and Child Protection System Involvement Among Medicaid-Insured Children. The Journal of Pediatrics. 252. 117–123. 2 indexed citations

14.

Putnam‐Hornstein, Emily, John Prindle, & Rebecca Rebbe. (2022). Community disadvantage, family socioeconomic status, and racial/ethnic differences in maltreatment reporting risk during infancy. Child Abuse & Neglect. 130(Pt 4). 105446–105446. 11 indexed citations

15.

Putnam‐Hornstein, Emily, et al.. (2021). Engaging Families in Voluntary Prevention Services to Reduce Future Child Abuse and Neglect: a Randomized Controlled Trial. Prevention Science. 22(7). 856–865. 18 indexed citations

16.

Pedersen, Eric R., et al.. (2021). Mental health symptoms among American veterans during the COVID-19 Pandemic. Psychiatry Research. 306. 114292–114292. 7 indexed citations

17.

Davis, Jordan P., et al.. (2021). Changes in alcohol use during the COVID-19 pandemic among American veterans. Addictive Behaviors. 122. 107052–107052. 15 indexed citations

18.

Raffington, Laurel, John Prindle, & Yee Lee Shing. (2018). Income gains predict cognitive functioning longitudinally throughout later childhood in poor children.. Developmental Psychology. 54(7). 1232–1243. 10 indexed citations

19.

Prindle, John, et al.. (2017). Prenatal substance exposure diagnosed at birth and infant involvement with child protective services. Child Abuse & Neglect. 76. 75–83. 90 indexed citations

20.

Trickett, Penelope K., Kihyun Kim, & John Prindle. (2011). Variations in emotional abuse experiences among multiply maltreated young adolescents and relations with developmental outcomes. Child Abuse & Neglect. 35(10). 876–86. 57 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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