Jan Štochl

4.6k total citations · 1 hit paper
104 papers, 2.9k citations indexed

About

Jan Štochl is a scholar working on Psychiatry and Mental health, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jan Štochl has authored 104 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Psychiatry and Mental health, 36 papers in Clinical Psychology and 23 papers in Experimental and Cognitive Psychology. Recurrent topics in Jan Štochl's work include Schizophrenia research and treatment (32 papers), Mental Health Research Topics (20 papers) and Tryptophan and brain disorders (18 papers). Jan Štochl is often cited by papers focused on Schizophrenia research and treatment (32 papers), Mental Health Research Topics (20 papers) and Tryptophan and brain disorders (18 papers). Jan Štochl collaborates with scholars based in United Kingdom, Czechia and United States. Jan Štochl's co-authors include Peter B. Jones, Golam M. Khandaker, Jesús Pérez, Stanley Zammit, Glyn Lewis, Karen D. Ersche, Tim Croudace, Julieta Galante, Adam P. Wagner and Maris Vainre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Jan Štochl

103 papers receiving 2.8k 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.

A mindfulness-based intervention to increase resilience to stress in university students (the Mindful Student Study): a pragmatic randomised controlled trial

2017 337 citations Julieta Galante, Géraldine Dufour et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Štochl United Kingdom	32	1.2k	832	570	467	416	104	2.9k
Tamsyn E. Van Rheenen Australia	29	1.2k 1.0×	1.4k 1.6×	487 0.9×	343 0.7×	248 0.6×	98	3.0k
Bernardo Carpiniello Italy	35	1.3k 1.1×	1.2k 1.5×	355 0.6×	614 1.3×	306 0.7×	161	3.4k
Caroline Bell New Zealand	30	1.1k 0.9×	408 0.5×	934 1.6×	406 0.9×	228 0.5×	87	3.1k
Humberto Corrêa Brazil	33	1.2k 1.0×	1.1k 1.3×	418 0.7×	246 0.5×	315 0.8×	125	3.0k
Diane Young United States	35	1.8k 1.5×	1.4k 1.6×	1.0k 1.8×	522 1.1×	280 0.7×	99	4.5k
Yoshiharu Kim Japan	30	2.0k 1.6×	501 0.6×	410 0.7×	323 0.7×	317 0.8×	120	3.9k
William R. Yates United States	42	1.7k 1.4×	941 1.1×	746 1.3×	541 1.2×	274 0.7×	139	4.6k
Aleksandar Janča Australia	34	1.8k 1.5×	1.1k 1.3×	501 0.9×	738 1.6×	347 0.8×	118	4.5k
Michaela C. Pascoe Australia	26	1.4k 1.1×	368 0.4×	365 0.6×	505 1.1×	167 0.4×	66	3.2k
Margaret T. Davis United States	19	3.1k 2.6×	458 0.6×	454 0.8×	508 1.1×	286 0.7×	49	4.7k

Countries citing papers authored by Jan Štochl

Since Specialization

Citations

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

Fields of papers citing papers by Jan Štochl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Štochl

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

Lan, William, Joanna Anderson, Jan Štochl, et al.. (2025). A qualitative study exploring the feasibility and acceptability of computerised adaptive testing to assess and monitor children and young people’s mental health in primary care settings in the UK. BMJ Mental Health. 28(1). e301381–e301381.

Trigg, Andrew, Rob Arbuckle, Jan Štochl, et al.. (2024). Psychometric evaluation of the Adelphi Adherence Questionnaire (ADAQ©) in adults with osteoarthritis. Journal of Patient-Reported Outcomes. 8(1). 118–118. 1 indexed citations

Cunningham, Adam, Sergio Marco Salas, Matthew Bracher‐Smith, et al.. (2023). Identifying the neurodevelopmental and psychiatric signatures of genomic disorders associated with intellectual disability: a machine learning approach. Molecular Autism. 14(1). 19–19. 8 indexed citations

Wagner, Adam P., Julieta Galante, Géraldine Dufour, et al.. (2023). Cost-effectiveness of providing university students with a mindfulness-based intervention to reduce psychological distress: economic evaluation of a pragmatic randomised controlled trial. BMJ Open. 13(11). e071724–e071724. 3 indexed citations

Burn, Anne‐Marie, Tamsin Ford, Jan Štochl, et al.. (2022). Developing a Web-Based App to Assess Mental Health Difficulties in Secondary School Pupils: Qualitative User-Centered Design Study. JMIR Formative Research. 6(1). e30565–e30565. 9 indexed citations

Osimo, Emanuele F., Luke Baxter, Jan Štochl, et al.. (2021). Longitudinal association between CRP levels and risk of psychosis: a meta-analysis of population-based cohort studies. Schizophrenia. 7(1). 31–31. 29 indexed citations

Perry, Benjamin I., Emanuele F. Osimo, Rachel Upthegrove, et al.. (2021). Development and external validation of the Psychosis Metabolic Risk Calculator (PsyMetRiC): a cardiometabolic risk prediction algorithm for young people with psychosis. The Lancet Psychiatry. 8(7). 589–598. 28 indexed citations

Turner, Lorinda, Julieta Galante, Maris Vainre, et al.. (2020). Immune dysregulation among students exposed to exam stress and its mitigation by mindfulness training: findings from an exploratory randomised trial. Scientific Reports. 10(1). 5812–5812. 20 indexed citations

Knight, Clare, Debra A Russo, Jan Štochl, Peter B. Jones, & Jesús Pérez. (2020). More sensitive identification of psychotic experiences in common mental disorder by primary mental healthcare services – effect on prevalence and recovery: casting the net wider. BJPsych Open. 6(6). e136–e136. 4 indexed citations

10.

Polek, Ela, Sharon Neufeld, Paul Wilkinson, et al.. (2020). How do the prevalence and relative risk of non-suicidal self-injury and suicidal thoughts vary across the population distribution of common mental distress (the p factor)? Observational analyses replicated in two independent UK cohorts of young people. BMJ Open. 10(5). e032494–e032494. 12 indexed citations

11.

Fritz, Jessica, Jan Štochl, Ian Goodyer, Anne‐Laura van Harmelen, & Paul Wilkinson. (2020). Embracing the positive: an examination of how well resilience factors at age 14 can predict distress at age 17. Translational Psychiatry. 10(1). 272–272. 8 indexed citations

12.

Štochl, Jan, Adam P. Wagner, Juha Veijola, et al.. (2019). Association between developmental milestones and age of schizophrenia onset: Results from the Northern Finland Birth Cohort 1966. Schizophrenia Research. 208. 228–234. 6 indexed citations

13.

Osimo, Emanuele F., Jan Štochl, Stanley Zammit, et al.. (2019). Longitudinal population subgroups of CRP and risk of depression in the ALSPAC birth cohort. Comprehensive Psychiatry. 96. 152143–152143. 20 indexed citations

14.

Chu, Alexander L., Jan Štochl, Glyn Lewis, et al.. (2018). Longitudinal association between inflammatory markers and specific symptoms of depression in a prospective birth cohort. Brain Behavior and Immunity. 76. 74–81. 87 indexed citations

15.

Lewis, Gemma, Konstantinos Ioannidis, Anne‐Laura van Harmelen, et al.. (2018). The association between pubertal status and depressive symptoms and diagnoses in adolescent females: A population-based cohort study. PLoS ONE. 13(6). e0198804–e0198804. 41 indexed citations

16.

Khandaker, Golam M., Jan Štochl, Stefania Chetcuti Zammit, Glyn Lewis, & Petra Jones. (2014). Childhood Epstein Barr virus infection and subsequent risk of psychotic experiences in early-adolescence: a population-based prospective serological study. UCL Discovery (University College London). 1 indexed citations

17.

Russo, Debra A, Jan Štochl, Tim Croudace, et al.. (2011). Use of the theory of planned behaviour to assess factors influencing the identification of individuals at ultra‐high risk for psychosis in primary care. Early Intervention in Psychiatry. 6(3). 265–275. 6 indexed citations

18.

Lukavský, Jiří, et al.. (2010). SPIRITUALITY OF AMERICAN AND CZECH STUDENTS - A CROSS-CULTURAL COMPARISON. Studia Psychologica. 52(3). 243–251. 5 indexed citations

19.

Štochl, Jan, et al.. (2008). Globální sebehodnocení u skupiny českých seniorů a adolescentů Global self esteem in a sample of Czech seniors and adolescents. SHILAP Revista de lepidopterología. 1 indexed citations

20.

Štochl, Jan, et al.. (2008). GLOBAL SELF ESTEEM IN A SAMPLE OF CZECH SENIORS AND ADOLESCENTS. Acta Gymnica. 38(4). 31–37. 2 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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