Megan Puzia

2.1k total citations · 1 hit paper
46 papers, 1.3k citations indexed

About

Megan Puzia is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Applied Psychology. According to data from OpenAlex, Megan Puzia has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Clinical Psychology, 14 papers in Experimental and Cognitive Psychology and 14 papers in Applied Psychology. Recurrent topics in Megan Puzia's work include Digital Mental Health Interventions (14 papers), COVID-19 and Mental Health (13 papers) and Suicide and Self-Harm Studies (11 papers). Megan Puzia is often cited by papers focused on Digital Mental Health Interventions (14 papers), COVID-19 and Mental Health (13 papers) and Suicide and Self-Harm Studies (11 papers). Megan Puzia collaborates with scholars based in United States, Canada and Australia. Megan Puzia's co-authors include Jennifer Huberty, Jeni Green, Linda Larkey, Adam J. Zolotor, Chong D. Lee, Sheila E. Crowell, Grace K. Cushman, Daniel P. Dickstein, Mitchell J. Prinstein and Joseph C. Franklin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Abnormal Psychology.

In The Last Decade

Megan Puzia

45 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Efficacy of the Mindfulness Meditation Mobile App “Calm” to Reduce Stress Among College Students: Randomized Controlled Trial

2019 283 citations Jennifer Huberty, Jeni Green et al. JMIR mhealth and uhealth profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan Puzia United States	20	864	321	260	253	199	46	1.3k
Kenny A. Karyadi United States	13	619 0.7×	299 0.9×	335 1.3×	107 0.4×	155 0.8×	25	1.1k
Clare Mackie United Kingdom	20	842 1.0×	270 0.8×	206 0.8×	217 0.9×	83 0.4×	29	1.8k
Agnes M. Annus United States	8	1.1k 1.2×	468 1.5×	422 1.6×	180 0.7×	222 1.1×	8	1.5k
Stephanie Rodgers Switzerland	22	967 1.1×	137 0.4×	210 0.8×	229 0.9×	159 0.8×	60	1.6k
Johanna Schröder Germany	23	728 0.8×	627 2.0×	535 2.1×	276 1.1×	328 1.6×	71	1.6k
Jennifer L. Hames United States	17	879 1.0×	115 0.4×	365 1.4×	208 0.8×	225 1.1×	29	1.3k
Patrick Pössel United States	21	939 1.1×	178 0.6×	364 1.4×	100 0.4×	191 1.0×	114	1.5k
Wei Lin Toh Australia	19	1.1k 1.2×	116 0.4×	372 1.4×	404 1.6×	113 0.6×	77	1.6k
Laura Mezquita Spain	22	673 0.8×	229 0.7×	303 1.2×	111 0.4×	211 1.1×	78	1.3k
Zijuan Ma China	19	850 1.0×	160 0.5×	625 2.4×	112 0.4×	160 0.8×	71	1.4k

Countries citing papers authored by Megan Puzia

Since Specialization

Citations

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

Fields of papers citing papers by Megan Puzia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Puzia

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Espel‐Huynh, Hallie, Matthew Baldwin, Megan Puzia, & Jennifer Huberty. (2022). The Indirect Effects of a Mindfulness Mobile App on Productivity Through Changes in Sleep Among Retail Employees: Secondary Analysis. JMIR mhealth and uhealth. 10(9). e40500–e40500. 1 indexed citations

Huberty, Jennifer, et al.. (2022). Testing the Pragmatic Effectiveness of a Consumer-Based Mindfulness Mobile App in the Workplace: Randomized Controlled Trial. JMIR mhealth and uhealth. 10(9). e38903–e38903. 21 indexed citations

Puzia, Megan, et al.. (2022). Examining the associations of using the Calm app with team mindfulness and psychological safety in remote workers. SHILAP Revista de lepidopterología. 4(1). n/a–n/a. 2 indexed citations

Huberty, Jennifer, et al.. (2022). Meditation Mobile App Developed for Patients With and Survivors of Cancer: Feasibility Randomized Controlled Trial. JMIR Cancer. 8(4). e39228–e39228. 1 indexed citations

Puzia, Megan, et al.. (2021). Associations Between Rural or Urban Status, Health Outcomes and Behaviors, and COVID-19 Perceptions Among Meditation App Users: Longitudinal Survey Study. JMIR mhealth and uhealth. 9(5). e26037–e26037. 12 indexed citations

Huberty, Jennifer, Jeni Green, Megan Puzia, & Chad Stecher. (2021). Evaluation of Mood Check-in Feature for Participation in Meditation Mobile App Users: Retrospective Longitudinal Analysis. JMIR mhealth and uhealth. 9(4). e27106–e27106. 17 indexed citations

Green, Jeni, Jennifer Huberty, Megan Puzia, & Chad Stecher. (2021). The Effect of Meditation and Physical Activity on the Mental Health Impact of COVID-19–Related Stress and Attention to News Among Mobile App Users in the United States: Cross-sectional Survey. JMIR Mental Health. 8(4). e28479–e28479. 34 indexed citations

Huberty, Jennifer, Megan Puzia, Jeni Green, & Chad Stecher. (2021). Mental Health and Meditation Practices of Pregnant Women during COVID-19. 4(1).

Huberty, Jennifer, Megan Puzia, Linda Larkey, Michael R. Irwin, & Ana‐Maria Vranceanu. (2020). Use of the Consumer-Based Meditation App Calm for Sleep Disturbances: Cross-Sectional Survey Study. JMIR Formative Research. 4(11). e19508–e19508. 12 indexed citations

10.

Puzia, Megan, et al.. (2020). Parents’ Perceptions of Their Children’s Engagement in a Consumer-Based Meditation Mobile App: Cross-Sectional Survey Study. JMIR Pediatrics and Parenting. 3(2). e24536–e24536. 13 indexed citations

11.

Puzia, Megan, Jennifer Huberty, Ryan Eckert, Linda Larkey, & Ruben A. Mesa. (2020). Associations Between Global Mental Health and Response to an App-Based Meditation Intervention in Myeloproliferative Neoplasm Patients. Integrative Cancer Therapies. 19. 1872146212–1872146212. 19 indexed citations

12.

Huberty, Jennifer, et al.. (2019). Efficacy of the Mindfulness Meditation Mobile App “Calm” to Reduce Stress Among College Students: Randomized Controlled Trial. JMIR mhealth and uhealth. 7(6). e14273–e14273. 283 indexed citations breakdown →

13.

Huberty, Jennifer, Megan Puzia, Ryan Eckert, & Linda Larkey. (2019). Cancer Patients’ and Survivors’ Perceptions of the Calm App: Cross-Sectional Descriptive Study. JMIR Cancer. 6(1). e16926–e16926. 13 indexed citations

14.

Price, Cynthia, Sheila E. Crowell, Kenneth C. Pike, et al.. (2018). Psychological and Autonomic Correlates of Emotion Dysregulation among Women in Substance Use Disorder Treatment. Substance Use & Misuse. 54(1). 110–119. 7 indexed citations

15.

Seymour, Karen E., Richard N. Jones, Grace K. Cushman, et al.. (2015). Emotional face recognition in adolescent suicide attempters and adolescents engaging in non-suicidal self-injury. European Child & Adolescent Psychiatry. 25(3). 247–259. 34 indexed citations

16.

Dickstein, Daniel P., Megan Puzia, Grace K. Cushman, et al.. (2015). Self‐injurious implicit attitudes among adolescent suicide attempters versus those engaged in nonsuicidal self‐injury. Journal of Child Psychology and Psychiatry. 56(10). 1127–1136. 37 indexed citations

17.

Wegbreit, Ezra, Grace K. Cushman, Megan Puzia, et al.. (2015). Facial emotion recognition in childhood‐onset bipolar I disorder: an evaluation of developmental differences between youths and adults. Bipolar Disorders. 17(5). 471–485. 20 indexed citations

18.

Kim, Kerri L., Thania Galvan, Megan Puzia, et al.. (2014). Psychiatric and Self‐Injury Profiles of Adolescent Suicide Attempters versus Adolescents Engaged in Nonsuicidal Self‐Injury. Suicide and Life-Threatening Behavior. 45(1). 37–50. 25 indexed citations

19.

Franklin, Joseph C., Megan Puzia, Kent M. Lee, & Mitchell J. Prinstein. (2014). Low implicit and explicit aversion toward self-cutting stimuli longitudinally predict nonsuicidal self-injury.. Journal of Abnormal Psychology. 123(2). 463–469. 55 indexed citations

20.

Zolotor, Adam J. & Megan Puzia. (2010). Bans against corporal punishment: a systematic review of the laws, changes in attitudes and behaviours. Child Abuse Review. 19(4). 229–247. 107 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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