Mariska Bot

5.3k total citations · 1 hit paper
85 papers, 3.4k citations indexed

About

Mariska Bot is a scholar working on Clinical Psychology, Biological Psychiatry and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mariska Bot has authored 85 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Clinical Psychology, 21 papers in Biological Psychiatry and 20 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mariska Bot's work include Tryptophan and brain disorders (21 papers), Eating Disorders and Behaviors (19 papers) and Stress Responses and Cortisol (16 papers). Mariska Bot is often cited by papers focused on Tryptophan and brain disorders (21 papers), Eating Disorders and Behaviors (19 papers) and Stress Responses and Cortisol (16 papers). Mariska Bot collaborates with scholars based in Netherlands, United Kingdom and Germany. Mariska Bot's co-authors include Brenda W.J.H. Penninx, Catherine N. Black, P Scheffer, Pim Cuijpers, Ingeborg A. Brouwer, Marjolein Visser, Frans Pouwer, Yuri Milaneschi, Deborah Gibson-Smith and Peter de Jonge and has published in prestigious journals such as JAMA, PLoS ONE and Diabetes Care.

In The Last Decade

Mariska Bot

82 papers receiving 3.3k 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.

Is depression associated with increased oxidative stress? A systematic review and meta-analysis

2014 551 citations Mariska Bot, Brenda W.J.H. Penninx et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mariska Bot Netherlands	33	872	698	614	577	529	85	3.4k
Jesper Krogh Denmark	28	1.6k 1.9×	678 1.0×	908 1.5×	1.1k 1.8×	315 0.6×	95	4.3k
Johannes van Pelt Netherlands	26	504 0.6×	350 0.5×	602 1.0×	1.2k 2.1×	235 0.4×	60	3.0k
Lívia A. Carvalho United Kingdom	35	1.6k 1.8×	527 0.8×	305 0.5×	1.6k 2.8×	315 0.6×	76	4.2k
Steven Moylan Australia	22	1.3k 1.5×	627 0.9×	528 0.9×	714 1.2×	426 0.8×	41	3.6k
Tommi Tolmunen Finland	33	525 0.6×	436 0.6×	732 1.2×	306 0.5×	406 0.8×	108	2.9k
Pao‐Yen Lin Taiwan	36	653 0.7×	666 1.0×	679 1.1×	269 0.5×	317 0.6×	176	4.6k
Paul F. Bouvy Netherlands	11	419 0.5×	758 1.1×	1.2k 1.9×	314 0.5×	1.1k 2.2×	13	3.6k
Panagiota Pervanidou Greece	27	201 0.2×	598 0.9×	793 1.3×	782 1.4×	664 1.3×	104	3.8k
David T. George United States	41	312 0.4×	561 0.8×	1.2k 1.9×	593 1.0×	355 0.7×	135	4.7k
Tammy Scott United States	44	334 0.4×	1.2k 1.7×	1.2k 1.9×	636 1.1×	836 1.6×	123	7.2k

Countries citing papers authored by Mariska Bot

Since Specialization

Citations

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

Fields of papers citing papers by Mariska Bot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariska Bot

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

Huisman, Sasja D., Christel Hendrieckx, Mariska Bot, Frans Pouwer, & Giesje Nefs. (2022). Prevalence, associations and health outcomes of binge eating in adults with type 1 or type 2 diabetes: Results from Diabetes MILES – The Netherlands. Diabetic Medicine. 40(1). e14953–e14953. 13 indexed citations

Kluiver, Hilde de, Rick Jansen, Yuri Milaneschi, et al.. (2021). Metabolomic profiles discriminating anxiety from depression. Acta Psychiatrica Scandinavica. 144(2). 178–193. 26 indexed citations

Owens, Matthew, Edward Watkins, Mariska Bot, et al.. (2020). Nutrition and depression: Summary of findings from the EU‐funded MooDFOOD depression prevention randomised controlled trial and a critical review of the literature. Nutrition Bulletin. 45(4). 403–414. 6 indexed citations

Bot, Mariska, Ingeborg A. Brouwer, Miquel Roca, et al.. (2019). Effect of Multinutrient Supplementation and Food-Related Behavioral Activation Therapy on Prevention of Major Depressive Disorder Among Overweight or Obese Adults With Subsyndromal Depressive Symptoms. JAMA. 321(9). 858–858. 91 indexed citations

Thesing, Carisha S., Anja Lok, Yuri Milaneschi, et al.. (2019). Fatty acids and recurrence of major depressive disorder: combined analysis of two Dutch clinical cohorts. Acta Psychiatrica Scandinavica. 141(4). 362–373. 11 indexed citations

Baldofski, Sabrina, Ezgi Dogan-Sander, Mariska Bot, et al.. (2019). Depressive Symptom Clusters in Relation to Body Weight Status: Results From Two Large European Multicenter Studies. Frontiers in Psychiatry. 10. 858–858. 12 indexed citations

Gibson-Smith, Deborah, Mariska Bot, Ingeborg A. Brouwer, et al.. (2019). Association of food groups with depression and anxiety disorders. European Journal of Nutrition. 59(2). 767–778. 83 indexed citations

Paans, Nadine P.G., Mariska Bot, Ingeborg A. Brouwer, Marjolein Visser, & Brenda W.J.H. Penninx. (2018). Contributions of depression and body mass index to body image. Journal of Psychiatric Research. 103. 18–25. 57 indexed citations

Paans, Nadine P.G., Mariska Bot, Deborah Gibson-Smith, et al.. (2017). Which biopsychosocial variables contribute to more weight gain in depressed persons?. Psychiatry Research. 254. 96–103. 6 indexed citations

10.

Bot, Mariska, Christel M. Middeldorp, Eco J. C. de Geus, et al.. (2016). Validity of LIDAS (LIfetime Depression Assessment Self-report): a self-report online assessment of lifetime major depressive disorder. Psychological Medicine. 47(2). 279–289. 20 indexed citations

11.

Ramsey, Jordan M., Jason D. Cooper, Mariska Bot, et al.. (2016). Sex Differences in Serum Markers of Major Depressive Disorder in the Netherlands Study of Depression and Anxiety (NESDA). PLoS ONE. 11(5). e0156624–e0156624. 54 indexed citations

12.

Gibson-Smith, Deborah, Mariska Bot, Yuri Milaneschi, et al.. (2015). Major Depressive Disorder, Antidepressant Use, and Subsequent 2-Year Weight Change Patterns in the Netherlands Study of Depression and Anxiety. The Journal of Clinical Psychiatry. 77(2). e144–e151. 38 indexed citations

13.

Gottschalk, Michael G., Jason D. Cooper, Man K. Chan, et al.. (2015). Discovery of serum biomarkers predicting development of a subsequent depressive episode in social anxiety disorder. Brain Behavior and Immunity. 48. 123–131. 14 indexed citations

14.

Chan, Man K., Jason D. Cooper, Mariska Bot, et al.. (2015). Identification of an Immune-Neuroendocrine Biomarker Panel for Detection of Depression: A Joint Effects Statistical Approach. Neuroendocrinology. 103(6). 693–710. 11 indexed citations

15.

Kendler, Kenneth S., Steven H. Aggen, Cathryn M. Lewis, et al.. (2015). The similarity of the structure of DSM-IV criteria for major depression in depressed women from China, the United States and Europe. Psychological Medicine. 45(9). 1945–1954. 20 indexed citations

16.

Mocking, Roel J. T., Johanna Assies, Mariska Bot, et al.. (2012). Biological Effects of Add-On Eicosapentaenoic Acid Supplementation in Diabetes Mellitus and Co-Morbid Depression: A Randomized Controlled Trial. PLoS ONE. 7(11). e49431–e49431. 30 indexed citations

17.

Bot, Mariska, Frans Pouwer, Peter de Jonge, et al.. (2012). Differential associations between depressive symptoms and glycaemic control in outpatients with diabetes. Diabetic Medicine. 30(3). e115–22. 75 indexed citations

18.

Bot, Mariska, Frans Pouwer, Johanna Assies, et al.. (2011). Supplementation with Eicosapentaenoic Omega-3 Fatty Acid Does Not Influence Serum Brain-Derived Neurotrophic Factor in Diabetes Mellitus Patients with Major Depression: A Randomized Controlled Pilot Study. Neuropsychobiology. 63(4). 219–223. 32 indexed citations

19.

Bot, Mariska, Frans Pouwer, Johan Ormel, Joris P. J. Slaets, & Peter de Jonge. (2010). Predictors of incident major depression in diabetic outpatients with subthreshold depression. Diabetic Medicine. 27(11). 1295–1301. 50 indexed citations

20.

Bot, Mariska, Frans Pouwer, Johanna Assies, et al.. (2010). Eicosapentaenoic acid as an add-on to antidepressant medication for co-morbid major depression in patients with diabetes mellitus: A randomized, double-blind placebo-controlled study. Journal of Affective Disorders. 126(1-2). 282–286. 48 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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