Marion Biermans

834 total citations
30 papers, 541 citations indexed

About

Marion Biermans is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Economics and Econometrics. According to data from OpenAlex, Marion Biermans has authored 30 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Economics and Econometrics. Recurrent topics in Marion Biermans's work include Chronic Disease Management Strategies (13 papers), Blood Pressure and Hypertension Studies (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Marion Biermans is often cited by papers focused on Chronic Disease Management Strategies (13 papers), Blood Pressure and Hypertension Studies (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Marion Biermans collaborates with scholars based in Netherlands, United States and Germany. Marion Biermans's co-authors include Tjard Schermer, Chris van Weel, Robert Verheij, Bianca W. M. Schalk, Hans Bor, Toine Lagro‐Janssen, W.J.C. de Grauw, Pieter F. de Vries Robbé, D.H. de Bakker and Jack F.M. Wetzels and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS Medicine.

In The Last Decade

Marion Biermans

26 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marion Biermans Netherlands 15 163 142 109 96 69 30 541
Osei Sarfo‐Kantanka Ghana 18 316 1.9× 318 2.2× 106 1.0× 217 2.3× 113 1.6× 39 897
Antoni Sicras Spain 12 73 0.4× 91 0.6× 105 1.0× 75 0.8× 44 0.6× 29 534
Siew Har Tan Singapore 5 174 1.1× 81 0.6× 120 1.1× 94 1.0× 52 0.8× 10 592
T O Lim Malaysia 15 67 0.4× 115 0.8× 56 0.5× 76 0.8× 174 2.5× 37 648
Stephanie Garies Canada 11 178 1.1× 107 0.8× 132 1.2× 109 1.1× 121 1.8× 34 639
Chelsea E. Hawley United States 14 53 0.3× 131 0.9× 127 1.2× 58 0.6× 140 2.0× 36 587
Teklewoini Mariye Ethiopia 16 122 0.7× 115 0.8× 107 1.0× 109 1.1× 57 0.8× 31 590
Shahriar Khan Canada 13 106 0.7× 99 0.7× 145 1.3× 50 0.5× 93 1.3× 25 446
Salwa S. Zghebi United Kingdom 11 163 1.0× 239 1.7× 101 0.9× 75 0.8× 57 0.8× 26 553
Jeffrey A. Ferguson United States 10 99 0.6× 129 0.9× 145 1.3× 194 2.0× 56 0.8× 15 622

Countries citing papers authored by Marion Biermans

Since Specialization
Citations

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

Fields of papers citing papers by Marion Biermans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Biermans

This figure shows the co-authorship network connecting the top 25 collaborators of Marion Biermans. A scholar is included among the top collaborators of Marion Biermans 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 Marion Biermans. Marion Biermans 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.
Biermans, Marion, Frans H. Rutten, Jaap Deinum, et al.. (2023). Stepwise treatment of uncontrolled HyperTensioN (Stepwise-HTN): Study design of a cluster randomised controlled trial in primary care. Contemporary Clinical Trials. 126. 107062–107062.
2.
Akkermans, Reinier, et al.. (2022). Performance of the SCORE and Globorisk cardiovascular risk prediction models: a prospective cohort study in Dutch general practice. British Journal of General Practice. 73(726). e24–e33. 3 indexed citations
4.
Nielen, M., Inge Spronk, Joke C. Korevaar, et al.. (2019). Estimating Morbidity Rates Based on Routine Electronic Health Records in Primary Care: Observational Study. JMIR Medical Informatics. 7(3). e11929–e11929. 55 indexed citations
5.
Grauw, W.J.C. de, et al.. (2019). Heart failure in primary care: prevalence related to age and comorbidity. Primary Health Care Research & Development. 20. e79–e79. 27 indexed citations
6.
Käyser, Sabine, Jaap Deinum, Wim JC De Grauw, et al.. (2018). Prevalence of primary aldosteronism in primary care: a cross-sectional study. British Journal of General Practice. 68(667). e114–e122. 41 indexed citations
7.
Wetzels, Jack F.M., et al.. (2017). Adherence to chronic kidney disease guidelines in primary care patients is associated with comorbidity. Family Practice. 34(4). 459–466. 11 indexed citations
8.
Biermans, Marion, et al.. (2017). A hospital-wide transition from paper to digital problem-oriented clinical notes. Applied Clinical Informatics. 8(2). 502–514. 5 indexed citations
9.
Haan, Nynke Scherpbier‐de, Reinier P. Akkermans, Eddy Adang, et al.. (2017). Web-based consultation between general practitioners and nephrologists: a cluster randomized controlled trial. Family Practice. 34(4). 430–436. 20 indexed citations
10.
Akker, Marjan van den, Kees van Boven, Joke C. Korevaar, et al.. (2017). Estimating incidence and prevalence rates of chronic diseases using disease modeling. Population Health Metrics. 15(1). 13–13. 12 indexed citations
11.
Bussel, Emma F. van, Edo Richard, Derk L. Arts, et al.. (2017). Dementia incidence trend over 1992-2014 in the Netherlands: Analysis of primary care data. PLoS Medicine. 14(3). e1002235–e1002235. 45 indexed citations
12.
Janssen, M., et al.. (2016). Gout and rheumatoid arthritis, both to keep in mind in cardiovascular risk management: A primary care retrospective cohort study. Joint Bone Spine. 84(1). 59–64. 20 indexed citations
13.
Haan, Nynke Scherpbier‐de, W.J.C. de Grauw, Gerald Vervoort, et al.. (2016). Quality of chronic kidney disease management in primary care: a retrospective study. Scandinavian Journal of Primary Health Care. 34(1). 73–80. 34 indexed citations
14.
16.
Akkermans, Reinier P., Marion Biermans, Gerben ter Riet, et al.. (2013). COPD prognosis in relation to diagnostic criteria for airflow obstruction in smokers. European Respiratory Journal. 43(1). 54–63. 17 indexed citations
17.
Akkermans, Reinier, et al.. (2013). Is the quality of data in an electronic medical record sufficient for assessing the quality of primary care?. Journal of the American Medical Informatics Association. 21(4). 692–698. 23 indexed citations
18.
Biermans, Marion, Peter Spreeuwenberg, Robert Verheij, et al.. (2009). Decreasing incidence of adenotonsillar problems in Dutch general practice: real or artefact?. British Journal of General Practice. 59(569). e368–e375. 5 indexed citations
19.
Biermans, Marion, et al.. (2007). Development of a case-based system for grouping diagnoses in general practice. International Journal of Medical Informatics. 77(7). 431–439. 26 indexed citations
20.
Biermans, Marion, Joost Dekker, & C.H.M. van den Ende. (2004). Prescription of technical aids by general practitioners in the Netherlands. Health Policy. 67(1). 107–113. 1 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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