Peter van Baarlen

7.6k total citations · 2 hit papers
83 papers, 5.6k citations indexed

About

Peter van Baarlen is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Peter van Baarlen has authored 83 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 22 papers in Plant Science and 17 papers in Food Science. Recurrent topics in Peter van Baarlen's work include Gut microbiota and health (21 papers), Streptococcal Infections and Treatments (13 papers) and Probiotics and Fermented Foods (11 papers). Peter van Baarlen is often cited by papers focused on Gut microbiota and health (21 papers), Streptococcal Infections and Treatments (13 papers) and Probiotics and Fermented Foods (11 papers). Peter van Baarlen collaborates with scholars based in Netherlands, United Kingdom and France. Peter van Baarlen's co-authors include Michiel Kleerebezem, Jerry M. Wells, Guido Hooiveld, Peter A. Bron, J.A.L. van Kan, Marjolein Meijerink, Oriana Rossi, Willem M. de Vos, Muriel Derrien and Martijn Staats and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Gastroenterology.

In The Last Decade

Peter van Baarlen

81 papers receiving 5.4k citations

Hit Papers

Emerging molecular insights into the interaction between ... 2011 2026 2016 2021 2011 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter van Baarlen Netherlands 37 3.1k 1.4k 1.2k 764 615 83 5.6k
Huajun Zheng China 42 3.1k 1.0× 694 0.5× 900 0.8× 600 0.8× 349 0.6× 150 6.0k
Jean Paul Lallès France 40 1.9k 0.6× 1.1k 0.8× 781 0.7× 405 0.5× 1.1k 1.8× 146 6.9k
G. Douglas Inglis Canada 38 1.5k 0.5× 1.2k 0.9× 985 0.8× 887 1.2× 265 0.4× 144 4.3k
Makedonka Mitreva United States 48 4.0k 1.3× 510 0.4× 1.7k 1.4× 1.7k 2.2× 489 0.8× 222 9.1k
Todd D. Taylor Japan 28 3.3k 1.1× 1.1k 0.8× 314 0.3× 631 0.8× 638 1.0× 59 5.0k
Évelyne Forano France 31 2.6k 0.8× 1.1k 0.8× 505 0.4× 562 0.7× 835 1.4× 92 5.1k
Huaijun Zhou United States 44 2.0k 0.6× 664 0.5× 455 0.4× 635 0.8× 257 0.4× 161 5.6k
Yoshitoshi Ogura Japan 39 3.3k 1.1× 1.1k 0.8× 552 0.5× 1.7k 2.2× 206 0.3× 183 7.1k
Daniel E. Voth United States 26 2.7k 0.8× 383 0.3× 630 0.5× 1.4k 1.8× 223 0.4× 55 6.5k
Andrew K. Benson United States 37 3.3k 1.0× 1.6k 1.1× 392 0.3× 1.1k 1.4× 504 0.8× 88 5.7k

Countries citing papers authored by Peter van Baarlen

Since Specialization
Citations

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

Fields of papers citing papers by Peter van Baarlen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter van Baarlen. 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 Peter van Baarlen. The network helps show where Peter van Baarlen may publish in the future.

Co-authorship network of co-authors of Peter van Baarlen

This figure shows the co-authorship network connecting the top 25 collaborators of Peter van Baarlen. A scholar is included among the top collaborators of Peter van Baarlen 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 Peter van Baarlen. Peter van Baarlen 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
2.
Hee, Bart van der, et al.. (2024). Identification of plasminogen-binding sites in Streptococcus suis enolase that contribute to bacterial translocation across the blood-brain barrier. Frontiers in Cellular and Infection Microbiology. 14. 1356628–1356628. 5 indexed citations
4.
Tyc, Olaf, Purva Kulkarni, Adam Ossowicki, et al.. (2022). Exploring the Interspecific Interactions and the Metabolome of the Soil Isolate Hylemonella gracilis. mSystems. 8(1). e0057422–e0057422. 4 indexed citations
5.
Horst-Kreft, Deborah, et al.. (2020). Campylobacter jejuni Cas9 Modulates the Transcriptome in Caco-2 Intestinal Epithelial Cells. Genes. 11(10). 1193–1193. 9 indexed citations
6.
Vries, Stefan P. W. de, Rob Rodrigues Pereira, Lidy Pelsser, et al.. (2019). Biomarker Research in ADHD: the Impact of Nutrition (BRAIN) - study protocol of an open-label trial to investigate the mechanisms underlying the effects of a few-foods diet on ADHD symptoms in children. BMJ Open. 9(11). e029422–e029422. 12 indexed citations
7.
Martens, Koen J.A., Sam P. B. van Beljouw, Jochem N. A. Vink, et al.. (2019). Visualisation of dCas9 target search in vivo using an open-microscopy framework. Nature Communications. 10(1). 3552–3552. 67 indexed citations
8.
Toydemir, Gamze, Nicole de Wit, Edoardo Saccenti, et al.. (2017). Use of Microarray Datasets to generate Caco-2-dedicated Networks and to identify Reporter Genes of Specific Pathway Activity. Scientific Reports. 7(1). 6778–6778. 6 indexed citations
9.
Sovran, Bruno, Peng Lü, Linda M. P. Loonen, et al.. (2016). Identification of Commensal Species Positively Correlated with Early Stress Responses to a Compromised Mucus Barrier. Inflammatory Bowel Diseases. 22(4). 826–840. 27 indexed citations
10.
Pearson, Bruce M., Rogier Louwen, Peter van Baarlen, & Arnoud H. M. van Vliet. (2015). Differential Distribution of Type II CRISPR-Cas Systems in Agricultural and NonagriculturalCampylobacter coliandCampylobacter jejuniIsolates Correlates with Lack of Shared Environments. Genome Biology and Evolution. 7(9). 2663–2679. 26 indexed citations
11.
Ferrando, Maria Laura, Peter van Baarlen, Germano Orrù, et al.. (2014). Carbohydrate Availability Regulates Virulence Gene Expression in Streptococcus suis. PLoS ONE. 9(3). e89334–e89334. 48 indexed citations
12.
Swagemakers, Sigrid, Charlotte I. de Bie, Sabine Middendorp, et al.. (2013). Gene Expression Analysis of Peripheral Cells for Subclassification of Pediatric Inflammatory Bowel Disease in Remission. PLoS ONE. 8(11). e79549–e79549. 12 indexed citations
13.
14.
Baarlen, Peter van, Michiel Kleerebezem, & Jerry M. Wells. (2013). Omics approaches to study host–microbiota interactions. Current Opinion in Microbiology. 16(3). 270–277. 22 indexed citations
15.
Aidy, Sahar El, Peter van Baarlen, Muriel Derrien, et al.. (2012). Temporal and spatial interplay of microbiota and intestinal mucosa drive establishment of immune homeostasis in conventionalized mice. Mucosal Immunology. 5(5). 567–579. 170 indexed citations
16.
Baarlen, Peter van, Freddy J. Troost, Saskia van Hemert, et al.. (2009). Differential NF-κB pathways induction by Lactobacillus plantarum in the duodenum of healthy humans correlating with immune tolerance. Proceedings of the National Academy of Sciences. 106(7). 2371–2376. 318 indexed citations
17.
Baarlen, Peter van & Roland J. Siezen. (2009). Genomics of plant‐associated microbes. Microbial Biotechnology. 2(4). 406–411. 3 indexed citations
18.
Troost, Freddy J., Peter van Baarlen, Patrick Lindsey, et al.. (2008). Identification of the transcriptional response of human intestinal mucosa to Lactobacillus plantarum WCFS1 in vivo. BMC Genomics. 9(1). 374–374. 67 indexed citations
19.
Schütte, Conny, Peter van Baarlen, H. Dijkman, & Marcel Dicke. (1996). How can predatory mites loose their response to plant signals. Socio-Environmental Systems Modeling. 7. 195–196. 6 indexed citations
20.
Dicke, Marcel, et al.. (1993). Systemic production of herbivore-induced synomones by lima bean plants helps solving a foraging problem of the herbivore's predators.. Socio-Environmental Systems Modeling. 4. 39–44. 4 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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