Daniel Leightley

2.0k total citations · 1 hit paper
56 papers, 762 citations indexed

About

Daniel Leightley is a scholar working on Clinical Psychology, Applied Psychology and General Health Professions. According to data from OpenAlex, Daniel Leightley has authored 56 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Clinical Psychology, 19 papers in Applied Psychology and 16 papers in General Health Professions. Recurrent topics in Daniel Leightley's work include Digital Mental Health Interventions (19 papers), Substance Abuse Treatment and Outcomes (10 papers) and Mental Health Research Topics (9 papers). Daniel Leightley is often cited by papers focused on Digital Mental Health Interventions (19 papers), Substance Abuse Treatment and Outcomes (10 papers) and Mental Health Research Topics (9 papers). Daniel Leightley collaborates with scholars based in United Kingdom, United States and Spain. Daniel Leightley's co-authors include Nicola T. Fear, Moi Hoon Yap, Jamie S. McPhee, Alice Wickersham, Victoria Williamson, Matthew Hotopf, Laura Goodwin, Roberto J. Rona, John Darby and Carolin Oetzmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Medicine.

In The Last Decade

Daniel Leightley

49 papers receiving 752 citations

Hit Papers

Digital health tools for the passive monitoring of depres... 2022 2026 2023 2024 2022 25 50 75 100
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.

  1. Digital health tools for the passive monitoring of depression: a systematic review of methods
    2022 104 citations Valeria de Angel, Katie M White et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Leightley United Kingdom 15 271 232 174 136 125 56 762
Ty Ferguson Australia 10 186 0.7× 211 0.9× 337 1.9× 141 1.0× 116 0.9× 24 1.2k
Mathew J. Gregoski United States 17 270 1.0× 155 0.7× 265 1.5× 134 1.0× 109 0.9× 69 1.4k
Christophe Lemey France 9 221 0.8× 162 0.7× 68 0.4× 136 1.0× 208 1.7× 22 718
Daphne Sze Ki Cheung Hong Kong 22 236 0.9× 77 0.3× 329 1.9× 65 0.5× 141 1.1× 105 1.3k
Michel Walter France 15 515 1.9× 347 1.5× 261 1.5× 226 1.7× 394 3.2× 67 1.4k
Benjamin W. Nelson United States 17 432 1.6× 182 0.8× 117 0.7× 254 1.9× 202 1.6× 53 1.2k
Niranjan Bidargaddi Australia 20 166 0.6× 409 1.8× 389 2.2× 136 1.0× 100 0.8× 89 1.2k
Amanda Edwards‐Stewart United States 14 319 1.2× 147 0.6× 111 0.6× 79 0.6× 73 0.6× 28 618
Mariya Shiyko United States 17 213 0.8× 196 0.8× 111 0.6× 194 1.4× 126 1.0× 38 971
Eldin Dzubur United States 19 182 0.7× 319 1.4× 198 1.1× 147 1.1× 81 0.6× 48 933

Countries citing papers authored by Daniel Leightley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Leightley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Leightley

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Leightley. A scholar is included among the top collaborators of Daniel Leightley 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 Leightley. Daniel Leightley 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.
Williamson, Charlotte, et al.. (2025). Post-traumatic growth in refugees and internally displaced persons worldwide: systematic review and meta-analysis. European journal of psychotraumatology. 16(1). 2500885–2500885.
2.
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.
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Sharp, Marie‐Louise, Margaret Jones, Lisa Hull, et al.. (2023). Health and well-being of serving and ex-serving UK Armed Forces personnel: protocol for the fourth phase of a longitudinal cohort study. BMJ Open. 13(10). e079016–e079016. 2 indexed citations
7.
King, Kate, Daniel Leightley, Neil Greenberg, & Nicola T. Fear. (2023). The DrinksRation Smartphone App for Modifying Alcohol Use Behaviors in UK Military Service Personnel at Risk of Alcohol-Related Harm: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 12. e49918–e49918. 1 indexed citations
8.
Leightley, Daniel, et al.. (2023). Acceptance and commitment therapy for co-occurring gambling disorder and posttraumatic stress disorder in veterans: a narrative review. European journal of psychotraumatology. 14(1). 2178203–2178203. 4 indexed citations
9.
Matcham, Faith, Sara Simblett, Daniel Leightley, et al.. (2022). The association between persistent cognitive difficulties and depression and functional outcomes in people with major depressive disorder. Psychological Medicine. 53(13). 6334–6344. 13 indexed citations
10.
Leightley, Daniel, et al.. (2022). Associations between Post-Traumatic Stress Disorder, Quality of Life and Alcohol Misuse among UK Veterans. Military Behavioral Health. 10(4). 444–450. 5 indexed citations
11.
Williamson, Charlotte, Katie M White, Roberto J. Rona, et al.. (2022). Smartphone-Based Alcohol Interventions: A Systematic Review on the Role of Notifications in Changing Behaviors toward Alcohol. Substance Abuse. 43(1). 1231–1244. 9 indexed citations
12.
Oetzmann, Carolin, Katie M White, Alina Ivan, et al.. (2022). Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. npj Digital Medicine. 5(1). 133–133. 7 indexed citations
13.
Williamson, Charlotte, Roberto J. Rona, Nicola T. Fear, et al.. (2022). An Expert and Veteran User Assessment of the Usability of an Alcohol Reduction App for Military Veterans, Drinks: Ration: A Mixed-Methods Pilot Study. Military Behavioral Health. 11(1-2). 14–27. 4 indexed citations
14.
Angel, Valeria de, Katie M White, Carolin Oetzmann, et al.. (2021). Digital Health Tools for the Passive Monitoring of Depression: A Systematic Review of Methods. medRxiv. 8 indexed citations
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DiGuiseppi, Graham, Jordan P. Davis, Daniel Leightley, & Eric Rice. (2020). Predictors of Adolescents' First Episode of Homelessness Following Substance Use Treatment. Journal of Adolescent Health. 66(4). 408–415. 14 indexed citations
17.
Leightley, Daniel, David Pernet, Sumithra Velupillai, et al.. (2020). The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine Learning. JMIR Medical Informatics. 8(5). e15852–e15852. 3 indexed citations
18.
Leightley, Daniel, et al.. (2019). Identifying Veterans Using Electronic Health Records in the United Kingdom: A Feasibility Study. Healthcare. 8(1). 1–1. 27 indexed citations
19.
Leightley, Daniel, Zoe Chui, Margaret Jones, et al.. (2018). Integrating electronic healthcare records of armed forces personnel: Developing a framework for evaluating health outcomes in England, Scotland and Wales. International Journal of Medical Informatics. 113. 17–25. 10 indexed citations
20.
Leightley, Daniel, Victoria Williamson, John Darby, & Nicola T. Fear. (2018). Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohort. Journal of Mental Health. 28(1). 34–41. 45 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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