Hanneke W. Drewes

1.1k total citations
35 papers, 661 citations indexed

About

Hanneke W. Drewes is a scholar working on General Health Professions, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Hanneke W. Drewes has authored 35 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Health Professions, 15 papers in Epidemiology and 7 papers in Economics and Econometrics. Recurrent topics in Hanneke W. Drewes's work include Chronic Disease Management Strategies (15 papers), Primary Care and Health Outcomes (12 papers) and Health Policy Implementation Science (11 papers). Hanneke W. Drewes is often cited by papers focused on Chronic Disease Management Strategies (15 papers), Primary Care and Health Outcomes (12 papers) and Health Policy Implementation Science (11 papers). Hanneke W. Drewes collaborates with scholars based in Netherlands, Taiwan and Nepal. Hanneke W. Drewes's co-authors include Caroline A. Baan, Jeroen N. Struijs, Richard Heijink, Lidwien Lemmens, Jolanda A. C. Meeuwissen, Hubertus JM Vrijhoef, Karin Lemmens, Lotte Steuten, Arianne Elissen and Marcel C. Adriaanse and has published in prestigious journals such as International Journal of Environmental Research and Public Health, BMC Public Health and Quality of Life Research.

In The Last Decade

Hanneke W. Drewes

33 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanneke W. Drewes Netherlands 13 381 258 159 143 66 35 661
Juan F. Orueta Spain 16 245 0.6× 417 1.6× 296 1.9× 183 1.3× 88 1.3× 38 797
Sarah C. Shih United States 16 408 1.1× 128 0.5× 238 1.5× 86 0.6× 160 2.4× 40 785
Katie Merrell United States 8 362 1.0× 178 0.7× 244 1.5× 142 1.0× 46 0.7× 14 559
Jaan Sidorov United States 12 370 1.0× 189 0.7× 143 0.9× 177 1.2× 248 3.8× 33 791
Mariëlle Ouwens Netherlands 10 476 1.2× 243 0.9× 153 1.0× 87 0.6× 209 3.2× 12 849
Michelle A. Lampman United States 13 334 0.9× 94 0.4× 114 0.7× 45 0.3× 116 1.8× 38 631
J. L. Ellis United States 4 202 0.5× 200 0.8× 124 0.8× 85 0.6× 28 0.4× 6 409
Sabrina K. H. How United States 6 403 1.1× 133 0.5× 251 1.6× 41 0.3× 61 0.9× 12 561
Cherie P. Brunker United States 9 238 0.6× 163 0.6× 164 1.0× 52 0.4× 44 0.7× 18 516

Countries citing papers authored by Hanneke W. Drewes

Since Specialization
Citations

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

Fields of papers citing papers by Hanneke W. Drewes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanneke W. Drewes. 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 Hanneke W. Drewes. The network helps show where Hanneke W. Drewes may publish in the future.

Co-authorship network of co-authors of Hanneke W. Drewes

This figure shows the co-authorship network connecting the top 25 collaborators of Hanneke W. Drewes. A scholar is included among the top collaborators of Hanneke W. Drewes 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 Hanneke W. Drewes. Hanneke W. Drewes 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
2.
Struijs, Jeroen N., et al.. (2022). Conceptualizing learning health systems: A mapping review. Learning Health Systems. 7(1). e10311–e10311. 5 indexed citations
3.
Drewes, Hanneke W., et al.. (2020). Cross-Sector Collaboration for a Healthy Living Environment—Which Strategies to Implement, Why, and in Which Context?. International Journal of Environmental Research and Public Health. 17(17). 6250–6250. 10 indexed citations
4.
Drewes, Hanneke W., et al.. (2019). Barriers to payment reform: Experiences from nine Dutch population health management sites. Health Policy. 123(11). 1100–1107. 21 indexed citations
5.
Drewes, Hanneke W., et al.. (2019). Measuring Population Health from a Broader Perspective: Assessing the My Quality of Life Questionnaire. International Journal of Integrated Care. 19(2). 7–7. 4 indexed citations
6.
Drewes, Hanneke W., et al.. (2019). Measuring Regional Quality of Health Care Using Unsolicited Online Data: Text Analysis Study. JMIR Medical Informatics. 7(4). e13053–e13053.
8.
Baan, Caroline A., et al.. (2018). Population health management guiding principles to stimulate collaboration and improve pharmaceutical care. Journal of Health Organization and Management. 32(2). 224–245. 7 indexed citations
9.
Spreeuwenberg, Marieke D., et al.. (2018). Harvesting the wisdom of the crowd: using online ratings to explore care experiences in regions. BMC Health Services Research. 18(1). 801–801. 5 indexed citations
10.
Lemmens, Lidwien, Hanneke W. Drewes, Manon Lette, & Caroline A. Baan. (2017). [A population-targeted approach to connect prevention, care and welfare: visualising the trend].. PubMed. 161. D849–D849. 2 indexed citations
11.
Lambooij, Mattijs, Hanneke W. Drewes, & Ferry Koster. (2017). Use of electronic medical records and quality of patient data: different reaction patterns of doctors and nurses to the hospital organization. BMC Medical Informatics and Decision Making. 17(1). 17–17. 35 indexed citations
12.
Drewes, Hanneke W., et al.. (2016). Which Triple Aim related measures are being used to evaluate population management initiatives? An international comparative analysis. Health Policy. 120(5). 471–485. 24 indexed citations
13.
Struijs, Jeroen N., Hanneke W. Drewes, & K. Viktoria Stein. (2015). Beyond integrated care: challenges on the way towards population health management. International Journal of Integrated Care. 15(4). e043–e043. 19 indexed citations
14.
Adriaanse, Marcel C., Hanneke W. Drewes, Iris van der Heide, Jeroen N. Struijs, & Caroline A. Baan. (2015). The impact of comorbid chronic conditions on quality of life in type 2 diabetes patients. Quality of Life Research. 25(1). 175–182. 87 indexed citations
15.
Struijs, Jeroen N., Hanneke W. Drewes, Richard Heijink, & Caroline A. Baan. (2014). How to evaluate population management? Transforming the Care Continuum Alliance population health guide toward a broadly applicable analytical framework. Health Policy. 119(4). 522–529. 35 indexed citations
16.
Lemmens, Lidwien, Hanneke W. Drewes, Arianne Elissen, et al.. (2012). Meta-analysis and meta-regression analyses explaining heterogeneity in outcomes of chronic care management for depression. Research portal (Tilburg University). 2(4).
17.
18.
Meeuwissen, Jolanda A. C., Lidwien Lemmens, Hanneke W. Drewes, et al.. (2012). Meta-analysis and meta-regression analyses explaining heterogeneity in outcomes of chronic care management for depression: implications for person-centered mental healthcare. 2(4). 716–758. 12 indexed citations
19.
Drewes, Hanneke W., Mattijs Lambooij, Caroline A. Baan, et al.. (2011). Differences in patient outcomes and chronic care management of oral anticoagulant therapy: an explorative study. BMC Health Services Research. 11(1). 18–18. 3 indexed citations
20.
Drewes, Hanneke W., Mattijs Lambooij, Caroline A. Baan, et al.. (2011). Needs and barriers to improve the collaboration in oral anticoagulant therapy: a qualitative study. BMC Cardiovascular Disorders. 11(1). 76–76. 3 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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