Miranda T. Schram
About
Miranda T. Schram is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology.
According to data from OpenAlex, Miranda T. Schram has authored 229 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Cardiology and Cardiovascular Medicine, 55 papers in Endocrinology, Diabetes and Metabolism and 48 papers in Physiology. Recurrent topics in Miranda T. Schram's work include Cardiovascular Health and Disease Prevention (43 papers), Blood Pressure and Hypertension Studies (31 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers). Miranda T. Schram is often cited by papers focused on Cardiovascular Health and Disease Prevention (43 papers), Blood Pressure and Hypertension Studies (31 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers). Miranda T. Schram collaborates with scholars based in Netherlands, United States and United Kingdom. Miranda T. Schram's co-authors include Coen D.A. Stehouwer, Ronald M.A. Henry, Nicolaas C. Schaper, Pieter C. Dagnelie, Frans Pouwer, Carla Kallen, Annemarie Koster, Simone J. S. Sep, Casper G. Schalkwijk and Alfons J.H.M. Houben and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
In The Last Decade
Miranda T. Schram
216 papers receiving 8.7k citations
Peers
Miranda T. Schram
Jun Hata Japan
Guðný Eiríksdóttir Iceland
Gerard J. Blauw Netherlands
Alice M. Arnold United States
A. Richey Sharrett United States
Shiro Tanaka Japan
Ronald M.A. Henry Netherlands
Andrea L.C. Schneider United States
Kazumasa Yamagishi Japan
Kim Sutton-Tyrrell United States
Citations per year, relative to Miranda T. Schram Miranda T. Schram (= 1×)
peers
Jun Hata
Countries citing papers authored by Miranda T. Schram
Since
Specialization
Citations
This map shows the geographic impact of Miranda T. Schram'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 Miranda T. Schram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miranda T. Schram more than expected).
Fields of papers citing papers by Miranda T. Schram
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Miranda T. Schram. 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 Miranda T. Schram. The network helps show where Miranda T. Schram may publish in the future.
Co-authorship network of co-authors of Miranda T. Schram
This figure shows the co-authorship network connecting the top 25 collaborators of Miranda T. Schram. A scholar is included among the top collaborators of Miranda T. Schram 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 Miranda T. Schram. Miranda T. Schram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Hernando, M. Elena, Junfeng Wang, Wim Goettsch, et al.. (2025). Prediction of glycaemic control and quality of life in people with type 2 diabetes using glucose‐lowering drugs with machine learning—The Maastricht study. Diabetes Obesity and Metabolism. 27(10). 5524–5537.
2.
Singh‐Manoux, Archana, Sèverine Sabia, Sebastian Köhler, et al.. (2025). Genetic variation in the glucagon-like peptide-1 receptor protein encoding region is associated with higher heart rate variability, but not with neurodegeneration of the brain, retina, and peripheral nerves: The Maastricht study. Cardiovascular Diabetology. 24(1). 397–397.
3.
Eussen, Simone J. P. M., Pieter C. Dagnelie, Carla Kallen, et al.. (2025). Liver fat content is not elevated in people with type 1 diabetes: the Maastricht Study. Diabetologia. 69(2). 364–373.
4.
Deckers, Kay, Martin P.J. van Boxtel, Walter H. Backes, et al.. (2024). Association of ambient air pollution with cognitive functioning and markers of structural brain damage: The Maastricht study. Environment International. 192. 109048–109048.
5.
Jaarsma, Eva A., Esther E. Bron, Frank J. Wolters, et al.. (2024). Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. Journal of Biomedical Informatics. 155. 104661–104661.
6.
Mayeux, Richard, Thomas T. van Sloten, Miranda T. Schram, et al.. (2024). The association of sociodemographic factors with total and item-level semantic fluency metrics.. Neuropsychology. 38(7). 665–678.
7.
Stehouwer, Coen D.A., Jacobus F.A. Jansen, Alfons J.H.M. Houben, et al.. (2024). Microvascular Dysfunction and Whole‐Brain White Matter Connectivity: The Maastricht Study. Journal of the American Heart Association. 13(3). e9112–e9112.
8.
Koster, Annemarie, Hans H. C. M. Savelberg, Simone J. P. M. Eussen, et al.. (2023). Accelerometer-derived physical activity and sedentary time and cardiac biomarkers: The Maastricht Study. Frontiers in Cardiovascular Medicine. 10. 1081713–1081713.
9.
Sánchez, Jennifer Monereo, Jacobus F.A. Jansen, Martin P.J. van Boxtel, et al.. (2023). Association of hippocampal subfield volumes with prevalence, course and incidence of depressive symptoms: The Maastricht Study. The British Journal of Psychiatry. 224(2). 66–73.
10.
Koster, Annemarie, Miranda T. Schram, Simone J. P. M. Eussen, et al.. (2023). Socioeconomic Position and Type 2 Diabetes: The Mediating Role of Psychosocial Work Environment- the Maastricht Study. International Journal of Public Health. 68.
11.
Galan, Bastiaan E. de, Coen D.A. Stehouwer, Miranda T. Schram, et al.. (2023). Socioeconomic inequalities in health-related functioning among people with Type 2 Diabetes. European Journal of Public Health. 33(Supplement_2).
12.
Kallen, Carla, Tos T. J. M. Berendschot, Fábio Scarpa, et al.. (2023). (Pre)diabetes and a higher level of glycaemic measures are continuously associated with corneal neurodegeneration assessed by corneal confocal microscopy: the Maastricht Study. Diabetologia. 66(11). 2030–2041.
13.
Gianfredi, Vincenza, Nicolaas C. Schaper, Anna Odone, et al.. (2022). Daily patterns of physical activity, sedentary behavior, and prevalent and incident depression—The Maastricht Study. Scandinavian Journal of Medicine and Science in Sports. 32(12). 1768–1780.
14.
Henry, Ronald M.A., Abraham A. Kroon, Pieter C. Dagnelie, et al.. (2022). (Pre)diabetes, glycemia, and daily glucose variability are associated with retinal nerve fiber layer thickness in The Maastricht Study. Scientific Reports. 12(1). 17750–17750.
15.
Gianfredi, Vincenza, Annemarie Koster, Simone J. P. M. Eussen, et al.. (2021). Association between social network characteristics and prevalent and incident depression: The Maastricht Study. Journal of Affective Disorders. 293. 338–346.
16.
Schram, Miranda T., Jacobus F.A. Jansen, Walter H. Backes, et al.. (2021). Extracerebral microvascular dysfunction is related to brain MRI markers of cerebral small vessel disease: The Maastricht Study. GeroScience. 44(1). 147–157.
17.
Stehouwer, Coen D.A., Martin P.J. van Boxtel, Frans R.J. Verhey, et al.. (2021). Association of Type 2 Diabetes, According to the Number of Risk Factors Within Target Range, With Structural Brain Abnormalities, Cognitive Performance, and Risk of Dementia. Diabetes Care. 44(11). 2493–2502.
18.
Schouten, Jan S.A.G., Tos T. J. M. Berendschot, Fleur Goezinne, et al.. (2020). Vascular risk factors for optical coherence tomography‐detected macular cysts: The Maastricht Study. Acta Ophthalmologica. 99(6). e860–e868.
19.
Henry, Ronald M.A., Hans H. C. M. Savelberg, Julianne D. van der Berg, et al.. (2020). Association of the Amount and Pattern of Physical Activity With Arterial Stiffness: The Maastricht Study. Journal of the American Heart Association. 9(20). e017502–e017502.
20.
Zhou, Ting, Carla Kallen, Pieter C. Dagnelie, et al.. (2019). Carotid stiffness is associated with retinal microvascular dysfunction: the Maastricht study. TU/e Research Portal (Eindhoven University of Technology).
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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