Max de Leeuw

558 total citations
24 papers, 380 citations indexed

About

Max de Leeuw is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Max de Leeuw has authored 24 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 8 papers in Cognitive Neuroscience and 6 papers in Clinical Psychology. Recurrent topics in Max de Leeuw's work include Bipolar Disorder and Treatment (9 papers), Functional Brain Connectivity Studies (8 papers) and Schizophrenia research and treatment (6 papers). Max de Leeuw is often cited by papers focused on Bipolar Disorder and Treatment (9 papers), Functional Brain Connectivity Studies (8 papers) and Schizophrenia research and treatment (6 papers). Max de Leeuw collaborates with scholars based in Netherlands, Belgium and United States. Max de Leeuw's co-authors include Matthijs Vink, René S. Kahn, R.S. Kahn, Albert M. van Hemert, Erik J. Giltay, Nic J.A. van der Wee, Jurjen J. Luykx, M. A. Koenders, Sanne J.H. van Rooij and Iris Kleerekooper and has published in prestigious journals such as NeuroImage, Neuroscience & Biobehavioral Reviews and Neuropsychopharmacology.

In The Last Decade

Max de Leeuw

23 papers receiving 377 citations

Peers

Max de Leeuw

PMH

ECP

RNMI

Sara Ambrosino Netherlands

Lindsay C. Hanford United States

Prerona Mukherjee United States

Cassandra Wannan Australia

Anna Nagashima Japan

Maria Gloria Rossetti Italy

Sarai van Dijk Netherlands

Linda A. Antonucci Italy

Jessica P.Y. Hua United States

Jessica A. Wojtalik United States

Sara Ambrosino Netherlands

Max de Leeuw

228 ×1.1

115 ×0.8

PMH

52 ×0.7

40 ×0.6

ECP

62 ×0.9

RNMI

Citations per year, relative to Max de Leeuw Max de Leeuw (= 1×) peers Sara Ambrosino

Countries citing papers authored by Max de Leeuw

Since Specialization

Citations

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

Fields of papers citing papers by Max de Leeuw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max de Leeuw. 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 Max de Leeuw. The network helps show where Max de Leeuw may publish in the future.

Co-authorship network of co-authors of Max de Leeuw

This figure shows the co-authorship network connecting the top 25 collaborators of Max de Leeuw. A scholar is included among the top collaborators of Max de Leeuw 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 Max de Leeuw. Max de Leeuw 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

Wee, Nic J.A. van der, et al.. (2025). The Bipolar Lithium Imaging Scan Study (BLISS): protocol for a 7T lithium-7 magnetic resonance study in bipolar disorder. PubMed. 5. kkaf003–kkaf003. 1 indexed citations

Son, Gabriëlle E. van, et al.. (2025). Effectiveness of bright light therapy in patients suffering from unipolar or bipolar depression; A naturalistic study. The European Journal of Psychiatry. 39(3). 100294–100294.

Koenders, M. A., Wiep Klaas Smits, Johanna M. Geleijnse, et al.. (2024). A healthy dietary pattern is associated with microbiota diversity in recently diagnosed bipolar patients: The Bipolar Netherlands Cohort (BINCO) study. Journal of Affective Disorders. 355. 157–166. 5 indexed citations

Koenders, M. A., et al.. (2023). Association Between the Fronto-Limbic Network and Cognitive and Emotional Functioning in Individuals With Bipolar Disorder. JAMA Psychiatry. 80(5). 432–432. 27 indexed citations

Koenders, M. A., et al.. (2023). Dynamic time warp analysis of individual symptom trajectories in individuals with bipolar disorder. Bipolar Disorders. 26(1). 44–57. 13 indexed citations

Leeuw, Max de, et al.. (2023). The role of the circadian system in the etiology of depression. Neuroscience & Biobehavioral Reviews. 153. 105383–105383. 31 indexed citations

Koenders, M. A., et al.. (2021). Effects of the COVID‐19 pandemic in a preexisting longitudinal study of patients with recently diagnosed bipolar disorder: Indications for increases in manic symptoms. Brain and Behavior. 11(11). e2326–e2326. 13 indexed citations

Ottenheim, Nathaly Rius, Willem van der Does, Brenda W.J.H. Penninx, et al.. (2021). Anger and cluster B personality traits and the conversion from unipolar depression to bipolar disorder. Depression and Anxiety. 38(6). 671–681. 9 indexed citations

Giltay, Erik J., et al.. (2020). Salivary markers of stress system activation and social withdrawal in humans. Journal of Psychiatric Research. 136. 435–443. 5 indexed citations

10.

Brilleslijper‐Kater, Sonja N., Eva Verlinden, Guy Widdershoven, et al.. (2019). A Descriptive Mixed-Methods Analysis of Sexual Behavior and Knowledge in Very Young Children Assessed for Sexual Abuse: The ASAC Study. Frontiers in Psychology. 9. 2716–2716. 9 indexed citations

11.

Hillegers, Manon H. J., et al.. (2019). [Earlier recognition of bipolar disorder - necessity and advice for clinical practice].. PubMed. 61(6). 384–391. 1 indexed citations

12.

Koenders, M. A., Annet T. Spijker, Max de Leeuw, et al.. (2019). Personality traits and the risk of incident (hypo)mania among subjects initially suffering from depressive and anxiety disorders in a 9-year cohort study. Journal of Affective Disorders. 259. 451–457. 2 indexed citations

13.

Werff, Steven J.A. van der, et al.. (2018). Elevated salivary alpha-amylase levels at awakening in patients with depression. Psychoneuroendocrinology. 97. 69–77. 19 indexed citations

14.

Brilleslijper‐Kater, Sonja N., Guy Widdershoven, Arianne H. Teeuw, et al.. (2017). Psychosocial symptoms in very young children assessed for sexual abuse: A qualitative analysis from the ASAC study. Child Abuse & Neglect. 73. 8–23. 7 indexed citations

15.

Luykx, Jurjen J., et al.. (2017). The DRD2 rs1076560 polymorphism and schizophrenia-related intermediate phenotypes: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews. 74(Pt A). 214–224. 23 indexed citations

16.

Kleerekooper, Iris, Sanne J.H. van Rooij, Wery P. M. van den Wildenberg, et al.. (2016). The effect of aging on fronto-striatal reactive and proactive inhibitory control. NeuroImage. 132. 51–58. 44 indexed citations

17.

Leeuw, Max de, Marc M. Bohlken, René C.W. Mandl, et al.. (2016). Changes in White Matter Organization in Adolescent Offspring of Schizophrenia Patients. Neuropsychopharmacology. 42(2). 495–501. 14 indexed citations

18.

Leeuw, Max de, Marc M. Bohlken, René C.W. Mandl, René S. Kahn, & Matthijs Vink. (2015). Reduced fronto–striatal white matter integrity in schizophrenia patients and unaffected siblings: a DTI study. Schizophrenia. 1(1). 15001–15001. 18 indexed citations

19.

Vink, Matthijs, Max de Leeuw, Jurjen J. Luykx, et al.. (2015). DRD2 Schizophrenia-Risk Allele Is Associated With Impaired Striatal Functioning in Unaffected Siblings of Schizophrenia Patients. Schizophrenia Bulletin. 42(3). 843–850. 21 indexed citations

20.

Leeuw, Max de, René S. Kahn, Bram B. Zandbelt, Christian G. Widschwendter, & Matthijs Vink. (2013). Working Memory and Default Mode Network abnormalities in unaffected siblings of schizophrenia patients. Schizophrenia Research. 150(2-3). 555–562. 31 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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