J. Sinnige

458 total citations
10 papers, 298 citations indexed

About

J. Sinnige is a scholar working on Economics and Econometrics, Epidemiology and Geriatrics and Gerontology. According to data from OpenAlex, J. Sinnige has authored 10 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 5 papers in Epidemiology and 4 papers in Geriatrics and Gerontology. Recurrent topics in J. Sinnige's work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Chronic Disease Management Strategies (5 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). J. Sinnige is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (6 papers), Chronic Disease Management Strategies (5 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). J. Sinnige collaborates with scholars based in Netherlands and United States. J. Sinnige's co-authors include François Schellevis, Jozé Braspenning, Joke C. Korevaar, Gert P. Westert, Katja Taxis, Peter Verhaak, Peter Spreeuwenberg, Huibert Burger, Floor Holvast and Jan van Lieshout and has published in prestigious journals such as PLoS ONE, Family Practice and Pharmacoepidemiology and Drug Safety.

In The Last Decade

J. Sinnige

9 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Sinnige Netherlands 6 166 103 81 79 55 10 298
Xuxi Zhang China 11 70 0.4× 67 0.7× 128 1.6× 137 1.7× 67 1.2× 24 382
Lawrence A. Adebusoye Nigeria 12 46 0.3× 45 0.4× 69 0.9× 59 0.7× 50 0.9× 54 336
Barbara Robertson United States 4 126 0.8× 58 0.6× 45 0.6× 152 1.9× 16 0.3× 11 324
Donald Steinwachs United States 11 48 0.3× 76 0.7× 44 0.5× 203 2.6× 25 0.5× 11 352
Lynn Zhu Canada 9 35 0.2× 58 0.6× 101 1.2× 69 0.9× 29 0.5× 19 322
Alex Kitsos Australia 11 51 0.3× 54 0.5× 51 0.6× 91 1.2× 9 0.2× 31 312
Ben Cross United Kingdom 10 45 0.3× 65 0.6× 100 1.2× 91 1.2× 21 0.4× 13 311
Tara Sampalli Canada 12 103 0.6× 73 0.7× 31 0.4× 196 2.5× 10 0.2× 49 438
Penny Lun Singapore 8 40 0.2× 72 0.7× 116 1.4× 78 1.0× 48 0.9× 16 254
Clare Baguley United Kingdom 7 133 0.8× 63 0.6× 11 0.1× 126 1.6× 17 0.3× 15 326

Countries citing papers authored by J. Sinnige

Since Specialization
Citations

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

Fields of papers citing papers by J. Sinnige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sinnige

This figure shows the co-authorship network connecting the top 25 collaborators of J. Sinnige. A scholar is included among the top collaborators of J. Sinnige 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 J. Sinnige. J. Sinnige is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Swinkels, I., B. van Lettow, J. de Jong, et al.. (2018). EHealth at different speeds: a brief outline eHealth-monitor 2018.. Data Archiving and Networked Services (DANS). 1 indexed citations
2.
Swinkels, I., et al.. (2018). Het gebruik van eHealth in de zorg voor mensen met een verstandelijke beperking.. Data Archiving and Networked Services (DANS).
3.
Swinkels, I., B. van Lettow, J. de Jong, et al.. (2018). E-health in verschillende snelheden: eHealth-monitor 2018.. Data Archiving and Networked Services (DANS). 5 indexed citations
4.
Holvast, Floor, J. Sinnige, François Schellevis, et al.. (2017). Late-life depression and the association with multimorbidity and polypharmacy: a cross-sectional study. Family Practice. 34(5). 539–545. 56 indexed citations
5.
Swinkels, I., J. Sinnige, J. de Jong, et al.. (2017). Kies bewust voor eHealth: eHealth-monitor 2017.. Data Archiving and Networked Services (DANS). 1 indexed citations
6.
Sinnige, J., Jozé Braspenning, Karin Hek, et al.. (2017). [Inter-practice variation in polypharmacy prevalence amongst older patients in primary care].. PubMed. 161. D864–D864. 1 indexed citations
7.
Sinnige, J., Jozé Braspenning, François Schellevis, et al.. (2016). Inter-practice variation in polypharmacy prevalence amongst older patients in primary care. Pharmacoepidemiology and Drug Safety. 25(9). 1033–1041. 25 indexed citations
8.
Sinnige, J., Joke C. Korevaar, Jan van Lieshout, et al.. (2016). Medication management strategy for older people with polypharmacy in general practice: a qualitative study on prescribing behaviour in primary care. British Journal of General Practice. 66(649). e540–e551. 27 indexed citations
9.
Sinnige, J., Joke C. Korevaar, Gert P. Westert, et al.. (2015). Multimorbidity patterns in a primary care population aged 55 years and over. Family Practice. 32(5). 505–513. 46 indexed citations
10.
Sinnige, J., et al.. (2013). The Prevalence of Disease Clusters in Older Adults with Multiple Chronic Diseases – A Systematic Literature Review. PLoS ONE. 8(11). e79641–e79641. 136 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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