Marian Beekman

31.7k citations

125 papers · 4.5k indexed · h-index 39

Molecular Biology top 5%
Physiology top 1%
Aging top 0.1%
Genetics top 2%
Pediatrics, Perinatology and Child Health top 2%

Co-authors: P. Eline Slagboom Rudi G. J. Westendorp Diana van Heemst Jeanine J. Houwing‐Duistermaat Anton J.M. de Craen Bastiaan T. Heijmans Simon P. Mooijaart Gerard J. Blauw
Topics: Genetics, Aging, and Longevity in Model Organisms (32 papers)Birth, Development, and Health (27 papers)Diet and metabolism studies (25 papers)
Cited by: Aging Physiology Geriatrics and Gerontology
Journals: Proceedings of the National Academy of Sciences Nature Communications The EMBO Journal
Partner nations: Netherlands Germany United Kingdom

In The Last Decade

Marian Beekman

119 papers receiving 4.4k citations

Peers

Countries citing papers authored by Marian Beekman

Since Specialization

Citations

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

Fields of papers citing papers by Marian Beekman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marian Beekman

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

#	Work	Indexed citations
1	Late reproduction is associated with extended female survival but not with familial longevity 2024 ·Reproductive BioMedicine Online ·Annelien C. de Kat,(unknown),P. Eline Slagboom,Frank J. Broekmans,Marian Beekman,Niels van den Berg	0
2	The performance of metabolomics-based prediction scores for mortality in older patients with solid tumors 2024 ·GeroScience ·(unknown),Simon P. Mooijaart,(unknown),Floor J. van Deudekom,Dina Vojinović,Daniele Bizzarri,Erik B. van den Akker,Raymond Noordam,Joris Deelen,Diana van Heemst,(unknown),Cynthia Holterhues,Geert Labots,Frederiek van den Bos,Marian Beekman,P. Eline Slagboom,Barbara C. Van Munster,Johanneke E. A. Portielje,Stella Trompet	3
3	Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk 2023 ·The Journals of Gerontology Series A ·(unknown),Harmke A. Polinder‐Bos,Daniele Bizzarri,Dina Vojinović,Costanza L. Vallerga,Marian Beekman,Martijn E.T. Dollé,Mohsen Ghanbari,Trudy Voortman,Marcel Reinders,W. M. Monique Verschuren,P. Eline Slagboom,Erik B. van den Akker,Joyce B. J. van Meurs	39
4	Technical Report: A Comprehensive Comparison between Different Quantification Versions of Nightingale Health’s 1H-NMR Metabolomics Platform 2023 ·Metabolites ·Daniele Bizzarri,Marcel Reinders,Marian Beekman,P. Eline Slagboom,Erik B. van den Akker,(unknown)	9
5	Gut microbiome changes due to sleep disruption in older and younger individuals: a case for sarcopenia? 2022 ·SLEEP ·(unknown),Panagiotis Giannos,Clara Belzer,Marian Beekman,P. Eline Slagboom,Konstantinos Prokopidis	17
6	MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health’s 1H-NMR metabolomics data 2022 ·Bioinformatics ·Daniele Bizzarri,Marcel Reinders,Marian Beekman,P. Eline Slagboom,Erik B. van den Akker	11
7	PLIS : A metabolomic response monitor to a lifestyle intervention study in older adults 2022 ·The FASEB Journal ·(unknown),Thies Gehrmann,Marian Beekman,Erik B. van den Akker,Ondine van de Rest,Roland Hangelbroek,Raymond Noordam,Simon P. Mooijaart,C.P.G.M. de Groot,Marcel Reinders,P. Eline Slagboom	8
8	Improved selection of participants in genetic longevity studies: family scores revisited 2021 ·BMC Medical Research Methodology ·(unknown),Niels van den Berg,Michel H. Hof,Marian Beekman,P. Eline Slagboom	0
9	Differential insulin sensitivity of NMR-based metabolomic measures in a two-step hyperinsulinemic euglycemic clamp study 2021 ·Metabolomics ·Wenyi Wang,Ko Willems van Dijk,Carolien A. Wijsman,Maarten Pieter Rozing,Simon P. Mooijaart,Marian Beekman,P. Eline Slagboom,J. Wouter Jukema,Raymond Noordam,Diana van Heemst	0
10	1H-NMR metabolomics-based surrogates to impute common clinical risk factors and endpoints 2021 ·EBioMedicine ·Daniele Bizzarri,Marcel Reinders,Marian Beekman,P. Eline Slagboom,(unknown),Erik B. van den Akker	16
11	Longevity Relatives Count score identifies heritable longevity carriers and suggests case improvement in genetic studies 2020 ·Aging Cell ·Niels van den Berg,Mar Rodríguez‐Girondo,Kees Mandemakers,A.A.P.O. Janssens,Marian Beekman,P. Eline Slagboom	11
12	Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference 2020 ·Metabolites ·Elisa Benedetti,(unknown),Maja Pučić‐Baković,Toma Keser,Karli R. Reiding,L. Renee Ruhaak,Tamara Štambuk,Maurice H. J. Selman,Igor Rudan,Ozren Polašek,Caroline Hayward,Marian Beekman,P. Eline Slagboom,Manfred Wuhrer,Malcolm G. Dunlop,Gordan Lauc,Jan Krumsiek	15
13	Lifestyle‐Intervention‐Induced Reduction of Abdominal Fat Is Reflected by a Decreased Circulating Glycerol Level and an Increased HDL Diameter 2020 ·Molecular Nutrition & Food Research ·Marian Beekman,(unknown),Erik B. van den Akker,Raymond Noordam,Petra Dibbets‐Schneider,Lioe‐Fee de Geus‐Oei,Joris Deelen,Ondine van de Rest,Diana van Heemst,Edith J. M. Feskens,P. Eline Slagboom	7
14	Metabolomic and lipidomic assessment of the metabolic syndrome in Dutch middle-aged individuals reveals novel biological signatures separating health and disease 2019 ·Metabolomics ·Izabella Surowiec,Raymond Noordam,Kate Bennett,Marian Beekman,P. Eline Slagboom,Torbjörn Lundstedt,Diana van Heemst	42
15	Basal cell carcinoma genetic susceptibility increases the rate of skin ageing: a Mendelian randomization study 2019 ·Journal of the European Academy of Dermatology and Venereology ·(unknown),David A. Gunn,Marian Beekman,(unknown),P. Eline Slagboom,Diana van Heemst,Raymond Noordam	6
16	Evidence of genetic enrichment for exceptional survival using a family approach: the Leiden Longevity Study (Reprinted from EUROPEAN JOURNAL OF HUMAN GENETICS, vol 13, pg 1025-1032, 2005) 2017 ·European Journal of Human Genetics ·(unknown),A.J.M. de Craen,Paul H. E. Meijer,Marian Beekman,Gerard J. Blauw,P. Eline Slagboom,(unknown)	1
17	A gain of function mutation in TNFRSF11B causes osteoarthritis with chondrocalcinosis 2014 ·Osteoarthritis and Cartilage ·Y.F. Ramos,Steffan D. Bos,Ruud van der Breggen,Joris Deelen,M. Kloppenburg,(unknown),Marian Beekman,(unknown),Rob G. H. H. Nelissen,P. Eline Slagboom,Ingrid Meulenbelt	1
18	Integrating Protein-Protein Interaction Networks with Gene- Gene Co-Expression Networks improves Gene Signatures for Classifying Breast Cancer Metastasis 2011 ·Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics ·Erik B. van den Akker,Bas Verbruggen,B.T. Heijmans,Marian Beekman,Joost N. Kok,P. Eline Slagboom,Marcel Reinders	16
19	Reduced insulin/IGF‐1 signalling and human longevity 2005 ·Aging Cell ·Diana van Heemst,Marian Beekman,Simon P. Mooijaart,Bastiaan T. Heijmans,Bernd W. Brandt,Bas J. Zwaan,P. Eline Slagboom,Rudi G. J. Westendorp	211
20	Mapping QTLs for HDL-C, LDL-C and Associated Proteins and Identification of Underlying Genetic Variation: A Meta-analysis of Four Genome Scans 2004 ·Twin Research and Human Genetics ·(unknown),Hein Putter,Marian Beekman,Nico Lakenberg,(unknown),(unknown),R.R. Frants,Ulf DeFaire,(unknown),(unknown),Nicholas G. Martin,DI Boomsma,P. Eline Slagboom	1

About Marian Beekman

Marian Beekman is a scholar working on Aging, Physiology and Pediatrics, Perinatology and Child Health, having authored 125 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (32 papers), Birth, Development, and Health (27 papers) and Diet and metabolism studies (25 papers). The work is most often cited by research in Aging (1.1k citations), Physiology (1.3k citations) and Geriatrics and Gerontology (177 citations). Marian Beekman has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include P. Eline Slagboom, Rudi G. J. Westendorp, Diana van Heemst, Jeanine J. Houwing‐Duistermaat, Anton J.M. de Craen, Bastiaan T. Heijmans, Simon P. Mooijaart, Gerard J. Blauw, Joris Deelen and Hae‐Won Uh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

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.

Explore authors with similar magnitude of impact