Daniel M. Mackin

637 total citations · 1 hit paper
29 papers, 353 citations indexed

About

Daniel M. Mackin is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Daniel M. Mackin has authored 29 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Clinical Psychology, 13 papers in Experimental and Cognitive Psychology and 7 papers in Psychiatry and Mental health. Recurrent topics in Daniel M. Mackin's work include Child and Adolescent Psychosocial and Emotional Development (15 papers), Mental Health Research Topics (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). Daniel M. Mackin is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (15 papers), Mental Health Research Topics (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). Daniel M. Mackin collaborates with scholars based in United States, Netherlands and Israel. Daniel M. Mackin's co-authors include Daniel N. Klein, Greg Perlman, Roman Kotov, Joanne Davila, Brandon L. Goldstein, Brady D. Nelson, Jamilah Silver, Gabrielle A. Carlson, Brittain Mahaffey and Adam Gonzalez and has published in prestigious journals such as Journal of Abnormal Psychology, Journal of the American Academy of Child & Adolescent Psychiatry and Journal of Child Psychology and Psychiatry.

In The Last Decade

Daniel M. Mackin

24 papers receiving 345 citations

Hit Papers

Randomized Trial of a Generative AI Chatbot for Mental He... 2025 2026 2025 10 20 30 40

Peers

Daniel M. Mackin
John Venz Germany
Austin J. Gallyer United States
Angela C. Santee United States
Jennifer M. Primack United States
Liat Itzhaky United States
Allison P. Danzig United States
Alissa Nichles Australia
Lance P. Kelley United States
John Venz Germany
Daniel M. Mackin
Citations per year, relative to Daniel M. Mackin Daniel M. Mackin (= 1×) peers John Venz

Countries citing papers authored by Daniel M. Mackin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Mackin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Mackin. 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 Daniel M. Mackin. The network helps show where Daniel M. Mackin may publish in the future.

Co-authorship network of co-authors of Daniel M. Mackin

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

All Works

20 of 20 papers shown
1.
Heinz, Michael V., et al.. (2025). Randomized Trial of a Generative AI Chatbot for Mental Health Treatment. NEJM AI. 2(4). 45 indexed citations breakdown →
4.
Lekkas, Damien, Amanda C Collins, Michael V. Heinz, et al.. (2025). Acute suicidal ideation in context: highlighting sentiment-based markers through the diary entries of a clinically depressed sample. BMC Psychiatry. 25(1). 650–650. 1 indexed citations
5.
Heinz, Michael V., et al.. (2024). A large-scale observational comparison of antidepressants and their effects. Journal of Psychiatric Research. 178. 219–224.
6.
Collins, Amanda C, Damien Lekkas, Matthew D. Nemesure, et al.. (2024). Anhedonia in flux: Understanding the associations of emotion regulation and anxiety with anhedonia dynamics in a sample with major depressive disorder. Journal of Affective Disorders. 372. 27–36. 3 indexed citations
7.
Collins, Amanda C, Damien Lekkas, Cara A. Struble, et al.. (2024). From mood to use: Using ecological momentary assessments to examine how anhedonia and depressed mood impact cannabis use in a depressed sample. Psychiatry Research. 339. 116110–116110. 2 indexed citations
8.
Price, George, Amanda C Collins, Daniel M. Mackin, Michael V. Heinz, & Nicholas C. Jacobson. (2024). Use of passively collected actigraphy data to detect individual depressive symptoms in a clinical subpopulation and a general population.. Journal of Psychopathology and Clinical Science. 134(1). 31–40. 2 indexed citations
9.
Zimmerman, Mark & Daniel M. Mackin. (2024). Validity of the DSM‐5 Mixed Features Specifier Interview. Bipolar Disorders. 26(5). 479–487.
10.
Zimmerman, Mark & Daniel M. Mackin. (2023). Identifying the DSM-5 mixed features specifier in depressed patients: A comparison of measures. Journal of Affective Disorders. 339. 854–859. 4 indexed citations
11.
Zimmerman, Mark & Daniel M. Mackin. (2023). Reliability and validity of the difficult to treat depression questionnaire (DTDQ). Psychiatry Research. 324. 115225–115225. 2 indexed citations
12.
Silver, Jamilah, Daniel M. Mackin, Sara J. Bufferd, et al.. (2022). Tonic and phasic irritability in 6‐year‐old children : differential correlates and outcomes. Journal of Child Psychology and Psychiatry. 64(2). 234–243. 13 indexed citations
13.
Zimmerman, Mark, et al.. (2022). The relative importance of diagnostic specific and transdiagnostic factors in evaluating treatment outcome of depressed patients. Psychiatry Research. 317. 114883–114883. 2 indexed citations
14.
Mackin, Daniel M., Megan C. Finsaas, Brady D. Nelson, et al.. (2022). Intergenerational transmission of depressive and anxiety disorders: Mediation via youth personality.. Journal of Psychopathology and Clinical Science. 131(5). 467–478. 3 indexed citations
15.
Goldstein, Brandon L., Daniel M. Mackin, Greg Perlman, et al.. (2022). Is personality stable and symptoms fleeting? A longitudinal comparison in adolescence. Journal of Research in Personality. 97. 104190–104190. 6 indexed citations
16.
Mackin, Daniel M., et al.. (2022). Agreement, Stability, and Validity of Parent- and Youth-Reported Anxiety Symptoms from Childhood to Adolescence. Research on Child and Adolescent Psychopathology. 50(11). 1445–1455. 11 indexed citations
17.
Larsen, Emmett M., et al.. (2021). Online Survey of the Impact of COVID-19 Risk and Cost Estimates on Worry and Health Behavior Compliance in Young Adults. Frontiers in Public Health. 9. 612725–612725. 16 indexed citations
18.
Finsaas, Megan C., Thomas M. Olino, Mariah T. Hawes, Daniel M. Mackin, & Daniel N. Klein. (2020). Psychometric analysis of the adult separation anxiety symptom questionnaire: Item functioning and invariance across gender and time.. Psychological Assessment. 32(6). 582–593. 2 indexed citations
19.
Mackin, Daniel M., Roman Kotov, Greg Perlman, et al.. (2019). Reward processing and future life stress: Stress generation pathway to depression.. Journal of Abnormal Psychology. 128(4). 305–314. 33 indexed citations
20.
Mackin, Daniel M., Greg Perlman, Joanne Davila, Roman Kotov, & Daniel N. Klein. (2016). Social support buffers the effect of interpersonal life stress on suicidal ideation and self-injury during adolescence. Psychological Medicine. 47(6). 1149–1161. 93 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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