Mark Nuijten

1.4k total citations · 1 hit paper
44 papers, 954 citations indexed

About

Mark Nuijten is a scholar working on Economics and Econometrics, General Health Professions and Physiology. According to data from OpenAlex, Mark Nuijten has authored 44 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Economics and Econometrics, 11 papers in General Health Professions and 4 papers in Physiology. Recurrent topics in Mark Nuijten's work include Health Systems, Economic Evaluations, Quality of Life (37 papers), Pharmaceutical Economics and Policy (15 papers) and Healthcare Policy and Management (8 papers). Mark Nuijten is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (37 papers), Pharmaceutical Economics and Policy (15 papers) and Healthcare Policy and Management (8 papers). Mark Nuijten collaborates with scholars based in Netherlands, United States and United Kingdom. Mark Nuijten's co-authors include Ewa Orlewska, Josephine Mauskopf, Sean D. Sullivan, John B. Watkins, Lieven Annemans, Paul Trueman, J. Jaime, C. Daniel Mullins, Frans Rutten and Dominique Dubois and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Reviews Clinical Oncology and Frontiers in Pharmacology.

In The Last Decade

Mark Nuijten

43 papers receiving 897 citations

Hit Papers

Principles of Good Practice for Budget Impact Analysis: R... 2007 2026 2013 2019 2007 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Principles of Good Practice for Budget Impact Analysis: Report of the ISPOR Task Force on Good Research Practices—Budget Impact Analysis
    2007 520 citations Mark Nuijten et al. Value in Health profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Nuijten Netherlands 12 487 199 102 94 77 44 954
Eileen A. Sandberg United States 10 655 1.3× 332 1.7× 82 0.8× 103 1.1× 48 0.6× 12 1.1k
Grazyna Teresa Adamiak Poland 5 414 0.9× 248 1.2× 128 1.3× 81 0.9× 35 0.5× 10 858
Francis Ruiz United Kingdom 18 389 0.8× 191 1.0× 94 0.9× 97 1.0× 76 1.0× 57 919
Diana Brixner United States 10 461 0.9× 194 1.0× 58 0.6× 79 0.8× 29 0.4× 37 977
Marco Barbieri United Kingdom 14 524 1.1× 247 1.2× 125 1.2× 79 0.8× 27 0.4× 34 1.1k
Laura Ginnelly United Kingdom 12 523 1.1× 276 1.4× 128 1.3× 144 1.5× 51 0.7× 14 1.2k
Ross Maclean United States 20 282 0.6× 255 1.3× 151 1.5× 135 1.4× 35 0.5× 38 1.6k
Steven Soroka Canada 17 295 0.6× 192 1.0× 93 0.9× 85 0.9× 98 1.3× 50 1.4k
Christopher Zacker United States 17 244 0.5× 202 1.0× 97 1.0× 163 1.7× 77 1.0× 49 1.2k
Hélène Chevrou‐Séverac Switzerland 13 378 0.8× 145 0.7× 74 0.7× 74 0.8× 106 1.4× 28 691

Countries citing papers authored by Mark Nuijten

Since Specialization
Citations

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

Fields of papers citing papers by Mark Nuijten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Nuijten

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Nuijten. A scholar is included among the top collaborators of Mark Nuijten 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 Mark Nuijten. Mark Nuijten 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.
Nuijten, Mark & Stefano Capri. (2024). Valuation of Medical Innovation Handling with Uncertainty and Risk. SHILAP Revista de lepidopterología. 12(3). 199–208. 1 indexed citations
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Pouwels, Xavier, Chris Sampson, Renée J.G. Arnold, et al.. (2022). Opportunities and Barriers to the Development and Use of Open Source Health Economic Models: A Survey. Value in Health. 25(4). 473–479. 11 indexed citations
4.
Nuijten, Mark, et al.. (2021). Replication of Published Health Economic Obesity Models: Assessment of Facilitators, Hurdles and Reproduction Success. PharmacoEconomics. 39(4). 433–446. 6 indexed citations
5.
Nuijten, Mark, et al.. (2018). Event simulation and external validation applied in published health economic models for obesity: a systematic review. Expert Review of Pharmacoeconomics & Outcomes Research. 18(5). 529–541. 5 indexed citations
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Nuijten, Mark, et al.. (2014). Health Economic Modelling in Stratified Medicine - Example Depression. Current pharmacogenomics and personalized medicine (Online). 12(3). 148–158. 1 indexed citations
10.
Freijer, Karen, Martijn J.L. Bours, Mark Nuijten, et al.. (2013). The Economic Value of Enteral Medical Nutrition in the Management of Disease-Related Malnutrition: A Systematic Review. Journal of the American Medical Directors Association. 15(1). 17–29. 49 indexed citations
11.
Nuijten, Mark, et al.. (2012). Stratified Medicine and Reimbursement Issues. Frontiers in Pharmacology. 3. 181–181. 17 indexed citations
12.
Nuijten, Mark & Dominique Dubois. (2011). Cost-Utility Analysis: Current Methodological Issues and Future Perspectives. Frontiers in Pharmacology. 2. 29–29. 25 indexed citations
13.
Nuijten, Mark, Thomas Mittendorf, & Ulf Persson. (2010). Practical issues in handling data input and uncertainty in a budget impact analysis. The European Journal of Health Economics. 12(3). 231–241. 31 indexed citations
14.
Nuijten, Mark, et al.. (2010). Cost Effectiveness of Paricalcitol versus a Non-Selective Vitamin D Receptor Activator for Secondary Hyperparathyroidism in the UK. Clinical Drug Investigation. 30(8). 545–557. 18 indexed citations
15.
Nuijten, Mark, Maiwenn Al, & Frans Rutten. (2006). Inter-variable Uncertainty In Decision Analytic Modeling: The Concept Of Second-order Sensitivity. Studies of Applied Economics. 24(3). 711–730. 1 indexed citations
16.
Nuijten, Mark & Frans Rutten. (2003). The Incorporation of Potential Confounding Variables in Markov Models. PharmacoEconomics. 21(13). 941–950. 4 indexed citations
17.
Nuijten, Mark. (2000). Bridging Decision Analytic Modelling with a Cross-Sectional Study. PharmacoEconomics. 17(3). 227–236. 11 indexed citations
18.
Smet, Peter A. G. M. De, et al.. (2000). Introduction to the Pharmacoeconomics of Herbal Medicines. PharmacoEconomics. 18(1). 1–7. 8 indexed citations
19.
Nuijten, Mark. (1998). The Selection of Data Sources For Use in Modelling Studies. PharmacoEconomics. 13(3). 305–316. 55 indexed citations
20.
Nuijten, Mark, et al.. (1997). Measuring Sensitivity in Pharmacoeconomic Studies. PharmacoEconomics. 12(5). 555–564. 9 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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