Martin Beukema

1.1k total citations · 1 hit paper
26 papers, 859 citations indexed

About

Martin Beukema is a scholar working on Plant Science, Nutrition and Dietetics and Immunology. According to data from OpenAlex, Martin Beukema has authored 26 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Nutrition and Dietetics and 8 papers in Immunology. Recurrent topics in Martin Beukema's work include Polysaccharides and Plant Cell Walls (9 papers), Infant Nutrition and Health (5 papers) and Pediatric health and respiratory diseases (4 papers). Martin Beukema is often cited by papers focused on Polysaccharides and Plant Cell Walls (9 papers), Infant Nutrition and Health (5 papers) and Pediatric health and respiratory diseases (4 papers). Martin Beukema collaborates with scholars based in Netherlands, Japan and United States. Martin Beukema's co-authors include Paul de Vos, Marijke M. Faas, Henk A. Schols, M. A. Berg, Bart J. de Haan, Renate Akkerman, Berit Troost, E.M.A.M. Bruininx, Marco van den Berg and Geert Bruggeman and has published in prestigious journals such as Biomaterials, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Martin Beukema

26 papers receiving 852 citations

Hit Papers

The effects of different dietary fiber pectin structures ... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Beukema Netherlands 16 316 292 285 215 83 26 859
Uttara S. Ramasamy Netherlands 7 162 0.5× 312 1.1× 196 0.7× 129 0.6× 44 0.5× 8 564
Phoency Lai China 23 415 1.3× 461 1.6× 384 1.3× 684 3.2× 34 0.4× 38 1.3k
Yangyang Liu China 19 183 0.6× 92 0.3× 483 1.7× 176 0.8× 49 0.6× 32 831
Peng Du China 16 379 1.2× 171 0.6× 432 1.5× 440 2.0× 34 0.4× 40 1.1k
Ana S. Luís United Kingdom 15 131 0.4× 178 0.6× 489 1.7× 153 0.7× 43 0.5× 25 808
Katrien Swennen Belgium 10 233 0.7× 713 2.4× 227 0.8× 267 1.2× 22 0.3× 15 1.1k
Poonam Dharmani India 13 164 0.5× 97 0.3× 357 1.3× 178 0.8× 210 2.5× 14 925
Jianxin Zhao China 10 169 0.5× 221 0.8× 469 1.6× 428 2.0× 45 0.5× 21 940
Sheng Zuo China 13 237 0.8× 158 0.5× 363 1.3× 195 0.9× 31 0.4× 20 710
Yanlong Cui China 10 237 0.8× 241 0.8× 343 1.2× 392 1.8× 27 0.3× 13 762

Countries citing papers authored by Martin Beukema

Since Specialization
Citations

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

Fields of papers citing papers by Martin Beukema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Beukema

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Beukema. A scholar is included among the top collaborators of Martin Beukema 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 Martin Beukema. Martin Beukema 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
1.
Zhou, Fan, Martin Beukema, Joanna Waldock, et al.. (2025). Comparison of air-liquid interface transwell and airway organoid models for human respiratory virus infection studies. Frontiers in Immunology. 16. 1532144–1532144. 6 indexed citations
2.
Gong, Shuran, Martin Beukema, Jacqueline de Vries‐Idema, & Anke Huckriede. (2024). Assessing human B cell responses to influenza virus vaccines and adjuvants in a PBMC-derived in vitro culture system. Vaccine. 44. 126563–126563. 1 indexed citations
3.
Beukema, Martin, Anke Huckriede, Johan Zuidema, et al.. (2023). A Single Injection with Sustained-Release Microspheres and a Prime-Boost Injection of Bovine Serum Albumin Elicit the Same IgG Antibody Response in Mice. Pharmaceutics. 15(2). 676–676. 2 indexed citations
5.
Lee, Jihui, Martin Beukema, Conor O’Mahony, et al.. (2023). Efficient fabrication of thermo-stable dissolving microneedle arrays for intradermal delivery of influenza whole inactivated virus vaccine. Biomaterials Science. 11(20). 6790–6800. 8 indexed citations
6.
Beukema, Martin, Shuran Gong, Florian Krammer, et al.. (2023). Prolonging the delivery of influenza virus vaccine improves the quantity and quality of the induced immune responses in mice. Frontiers in Immunology. 14. 1249902–1249902. 5 indexed citations
7.
Tian, Yu, Koen van der Maaden, Renate Akkerman, et al.. (2022). Intradermal Administration of Influenza Vaccine with Trehalose and Pullulan-Based Dissolving Microneedle Arrays. Journal of Pharmaceutical Sciences. 111(4). 1070–1080. 24 indexed citations
9.
Beukema, Martin, Madelon J. Logtenberg, Renate Akkerman, et al.. (2022). The level and distribution of methyl-esters influence the impact of pectin on intestinal T cells, microbiota, and Ahr activation. Carbohydrate Polymers. 286. 119280–119280. 20 indexed citations
10.
Sablerolles, Roos S. G., Wim J. R. Rietdijk, Abraham Goorhuis, et al.. (2022). Durability of Immune Responses After Boosting in Ad26.COV2.S-Primed Healthcare Workers. Clinical Infectious Diseases. 76(3). e533–e536. 7 indexed citations
11.
Akkerman, Renate, et al.. (2021). 2′-Fucosyllactose impacts the expression of mucus-related genes in goblet cells and maintains barrier function of gut epithelial cells. Journal of Functional Foods. 85. 104630–104630. 15 indexed citations
12.
Beukema, Martin, Renate Akkerman, Chunli Kong, et al.. (2021). Pectins that Structurally Differ in the Distribution of Methyl‐Esters Attenuate Citrobacter rodentium‐Induced Colitis. Molecular Nutrition & Food Research. 65(19). e2100346–e2100346. 21 indexed citations
13.
Kong, Chunli, Martin Beukema, Min Wang, Bart J. de Haan, & Paul de Vos. (2021). Human milk oligosaccharides and non-digestible carbohydrates prevent adhesion of specific pathogensviamodulating glycosylation or inflammatory genes in intestinal epithelial cells. Food & Function. 12(17). 8100–8119. 16 indexed citations
14.
Beukema, Martin, et al.. (2021). Pectin limits epithelial barrier disruption by Citrobacter rodentium through anti-microbial effects. Food & Function. 12(2). 881–891. 15 indexed citations
16.
Beukema, Martin, et al.. (2021). Revealing methyl-esterification patterns of pectins by enzymatic fingerprinting: Beyond the degree of blockiness. Carbohydrate Polymers. 277. 118813–118813. 35 indexed citations
17.
Beukema, Martin, et al.. (2020). The influence of calcium on pectin's impact on TLR2 signalling. Food & Function. 11(9). 7427–7432. 9 indexed citations
18.
Prado, Samira Bernardino Ramos do, et al.. (2020). Pectin Interaction with Immune Receptors is Modulated by Ripening Process in Papayas. Scientific Reports. 10(1). 1690–1690. 46 indexed citations
19.
Beukema, Martin, Marijke M. Faas, & Paul de Vos. (2020). The effects of different dietary fiber pectin structures on the gastrointestinal immune barrier: impact via gut microbiota and direct effects on immune cells. Experimental & Molecular Medicine. 52(9). 1364–1376. 234 indexed citations breakdown →
20.
Beukema, Martin, et al.. (2020). The impact of the level and distribution of methyl-esters of pectins on TLR2-1 dependent anti-inflammatory responses. Carbohydrate Polymers. 251. 117093–117093. 53 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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