Marcel van de Wouw

8.2k total citations · 3 hit papers
35 papers, 2.3k citations indexed

About

Marcel van de Wouw is a scholar working on Molecular Biology, Biological Psychiatry and Physiology. According to data from OpenAlex, Marcel van de Wouw has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Biological Psychiatry and 9 papers in Physiology. Recurrent topics in Marcel van de Wouw's work include Gut microbiota and health (21 papers), Tryptophan and brain disorders (14 papers) and Diet and metabolism studies (7 papers). Marcel van de Wouw is often cited by papers focused on Gut microbiota and health (21 papers), Tryptophan and brain disorders (14 papers) and Diet and metabolism studies (7 papers). Marcel van de Wouw collaborates with scholars based in Ireland, Canada and United States. Marcel van de Wouw's co-authors include John F. Cryan, Timothy G. Dinan, Gerard Clarke, Catherine Stanton, Roman M. Stilling, Harriët Schellekens, Marcus Boehme, Joshua M. Lyte, Niamh Wiley and Conall Strain and has published in prestigious journals such as The Journal of Physiology, The FASEB Journal and Journal of Nutrition.

In The Last Decade

Marcel van de Wouw

35 papers receiving 2.3k citations

Hit Papers

align trajectories sort by overperformance

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.

The neuropharmacology of butyrate: The bread and butter of the microbiota-gut-brain axis?

2016 656 citations Roman M. Stilling, Marcel van de Wouw et al. Neurochemistry International profile →
Short‐chain fatty acids: microbial metabolites that alleviate stress‐induced brain–gut axis alterations

2018 571 citations Marcel van de Wouw, Marcus Boehme et al. The Journal of Physiology profile →
The gut virome is associated with stress-induced changes in behaviour and immune responses in mice

2024 45 citations Nathaniel L. Ritz, Lorraine A. Draper et al. Nature Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcel van de Wouw Ireland	19	1.6k	890	678	253	227	35	2.3k
Aurelijus Burokas Lithuania	19	1.4k 0.9×	755 0.8×	657 1.0×	221 0.9×	209 0.9×	44	2.3k
Veronica L. Peterson Ireland	17	1.9k 1.2×	979 1.1×	959 1.4×	316 1.2×	173 0.8×	20	2.8k
Viorica Braniste France	13	1.9k 1.2×	855 1.0×	833 1.2×	407 1.6×	206 0.9×	19	2.9k
Thomaz F. S. Bastiaanssen Ireland	28	1.3k 0.8×	673 0.8×	661 1.0×	186 0.7×	112 0.5×	60	1.9k
Sophie Leclercq Belgium	26	1.9k 1.2×	821 0.9×	665 1.0×	189 0.7×	258 1.1×	54	3.4k
Eoin Sherwin Ireland	11	1.2k 0.7×	580 0.7×	600 0.9×	182 0.7×	126 0.6×	14	1.9k
Helen E. Vuong United States	14	1.7k 1.1×	846 1.0×	484 0.7×	313 1.2×	178 0.8×	25	2.6k
Aitak Farzi Austria	25	1.9k 1.2×	1.1k 1.2×	950 1.4×	414 1.6×	212 0.9×	39	3.4k
Conall Strain Ireland	22	1.2k 0.8×	627 0.7×	477 0.7×	197 0.8×	319 1.4×	31	2.1k
Shugui Wang Singapore	9	2.0k 1.3×	707 0.8×	734 1.1×	409 1.6×	262 1.2×	9	2.9k

Countries citing papers authored by Marcel van de Wouw

Since Specialization

Citations

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

Fields of papers citing papers by Marcel van de Wouw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel van de Wouw. 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 Marcel van de Wouw. The network helps show where Marcel van de Wouw may publish in the future.

Co-authorship network of co-authors of Marcel van de Wouw

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

Wouw, Marcel van de, Yanan Wang, Matthew L. Workentine, et al.. (2024). Cluster-specific associations between the gut microbiota and behavioral outcomes in preschool-aged children. Microbiome. 12(1). 60–60. 2 indexed citations

Wouw, Marcel van de, Elizabeth Dorrance Hall, Verena Kuret, et al.. (2024). Neurodevelopment in the First 2 Years of Life Following Prenatal Exposure to Maternal SARS-CoV-2 Infection. JAMA Network Open. 7(11). e2443697–e2443697. 4 indexed citations

Jacquier, Emma, et al.. (2024). Local and Systemic Effects of Bioactive Food Ingredients: Is There a Role for Functional Foods to Prime the Gut for Resilience?. Foods. 13(5). 739–739. 15 indexed citations

Ritz, Nathaniel L., Lorraine A. Draper, Thomaz F. S. Bastiaanssen, et al.. (2024). The gut virome is associated with stress-induced changes in behaviour and immune responses in mice. Nature Microbiology. 9(2). 359–376. 45 indexed citations breakdown →

Giesbrecht, Gerald F., Marcel van de Wouw, Susan A. Graham, et al.. (2024). Language learning in the context of a global pandemic: proximal and distal factors matter. Pediatric Research. 97(6). 1900–1910. 1 indexed citations

Lebel, Catherine, Lianne Tomfohr‐Madsen, Gerald F. Giesbrecht, et al.. (2023). Prenatal mental health data and birth outcomes in the pregnancy during the COVID-19 Pandemic dataset. Data in Brief. 49. 109366–109366. 3 indexed citations

Wouw, Marcel van de, Yanan Wang, Elnaz Vaghef‐Mehrabany, et al.. (2023). Long-term and trimester-specific effects of prenatal stress on the child gut microbiota. Psychoneuroendocrinology. 158. 106380–106380. 7 indexed citations

Giesbrecht, Gerald F., Marcel van de Wouw, Charlie Rioux, et al.. (2023). Cumulative effects of pre-pandemic vulnerabilities and pandemic-related hardship on psychological distress among pregnant individuals. General Hospital Psychiatry. 83. 93–100. 5 indexed citations

Vaghef‐Mehrabany, Elnaz, Yanan Wang, Marcel van de Wouw, et al.. (2022). Dietary changes among pregnant individuals compared to pre-pandemic: A cross-sectional analysis of the Pregnancy during the COVID-19 Pandemic (PdP) study. Frontiers in Nutrition. 9. 997236–997236. 3 indexed citations

10.

Wang, Yanan, Marcel van de Wouw, Lauren L. Drogos, et al.. (2022). Sleep and the gut microbiota in preschool-aged children. SLEEP. 45(6). 25 indexed citations

11.

Giesbrecht, Gerald F., Mercedes Bagshawe, Anna MacKinnon, et al.. (2021). Protocol for the Pregnancy During the COVID-19 Pandemic (PdP) Study: A Longitudinal Cohort Study of Mental Health Among Pregnant Canadians During the COVID-19 Pandemic and Developmental Outcomes in Their Children. JMIR Research Protocols. 10(4). e25407–e25407. 30 indexed citations

12.

Wouw, Marcel van de, Yanan Wang, Matthew L. Workentine, et al.. (2021). Associations Between the Gut Microbiota and Internalizing Behaviors in Preschool Children. Psychosomatic Medicine. 84(2). 159–169. 11 indexed citations

13.

Berding, Kirsten, Caitríona M. Long-Smith, Carina Carbia, et al.. (2020). A specific dietary fibre supplementation improves cognitive performance—an exploratory randomised, placebo-controlled, crossover study. Psychopharmacology. 238(1). 149–163. 60 indexed citations

14.

Moloney, Gerard M., Feargal J. Ryan, Marcel van de Wouw, et al.. (2019). Differential gene expression in the mesocorticolimbic system of innately high- and low-impulsive rats. Behavioural Brain Research. 364. 193–204. 9 indexed citations

15.

Gururajan, Anand, Marcel van de Wouw, Marcus Boehme, et al.. (2019). Resilience to chronic stress is associated with specific neurobiological, neuroendocrine and immune responses. Brain Behavior and Immunity. 80. 583–594. 55 indexed citations

16.

Boehme, Marcus, Marcel van de Wouw, Thomaz F. S. Bastiaanssen, et al.. (2019). Mid-life microbiota crises: middle age is associated with pervasive neuroimmune alterations that are reversed by targeting the gut microbiome. Molecular Psychiatry. 25(10). 2567–2583. 100 indexed citations

17.

Wouw, Marcel van de, Marcus Boehme, Timothy G. Dinan, & John F. Cryan. (2019). Monocyte mobilisation, microbiota & mental illness. Brain Behavior and Immunity. 81. 74–91. 27 indexed citations

18.

Wouw, Marcel van de, Marcus Boehme, Joshua M. Lyte, et al.. (2018). Short‐chain fatty acids: microbial metabolites that alleviate stress‐induced brain–gut axis alterations. The Journal of Physiology. 596(20). 4923–4944. 571 indexed citations breakdown →

19.

Wouw, Marcel van de, Harriët Schellekens, Timothy G. Dinan, & John F. Cryan. (2017). Microbiota-Gut-Brain Axis: Modulator of Host Metabolism and Appetite. Journal of Nutrition. 147(5). 727–745. 319 indexed citations

20.

Stilling, Roman M., Marcel van de Wouw, Gerard Clarke, et al.. (2016). The neuropharmacology of butyrate: The bread and butter of the microbiota-gut-brain axis?. Neurochemistry International. 99. 110–132. 656 indexed citations breakdown →

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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