Kees J. Gorter

1.6k total citations
46 papers, 1.2k citations indexed

About

Kees J. Gorter is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kees J. Gorter has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Epidemiology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kees J. Gorter's work include Diabetes Management and Education (25 papers), Chronic Disease Management Strategies (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers). Kees J. Gorter is often cited by papers focused on Diabetes Management and Education (25 papers), Chronic Disease Management Strategies (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers). Kees J. Gorter collaborates with scholars based in Netherlands, United States and Belgium. Kees J. Gorter's co-authors include Guy E.H.M. Rutten, Maureen van den Donk, L. Jaap Kappelle, Geert Jan Biessels, Carla Ruis, P. Salomé, Peter Zuithoff, Elly Budiman‐Mak, Kendon J. Conrad and Paula S. Koekkoek and has published in prestigious journals such as Diabetes Care, Psychosomatic Medicine and BMC Public Health.

In The Last Decade

Kees J. Gorter

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kees J. Gorter Netherlands 19 662 334 161 146 140 46 1.2k
Rosana Bento Radominski Brazil 16 250 0.4× 128 0.4× 31 0.2× 114 0.8× 184 1.3× 54 938
Christine Ha Canada 12 231 0.3× 85 0.3× 103 0.6× 94 0.6× 131 0.9× 18 979
Miriam Maney United States 13 207 0.3× 107 0.3× 55 0.3× 93 0.6× 43 0.3× 18 670
Henrietta Mulnier United Kingdom 13 801 1.2× 192 0.6× 90 0.6× 59 0.4× 107 0.8× 21 1.4k
Roberta James United Kingdom 20 652 1.0× 386 1.2× 218 1.4× 201 1.4× 172 1.2× 45 1.9k
Leslie S. Kinder United States 10 1.2k 1.8× 665 2.0× 193 1.2× 251 1.7× 105 0.8× 10 2.0k
Antonio Segura‐Fragoso Spain 16 147 0.2× 151 0.5× 187 1.2× 131 0.9× 169 1.2× 76 927
Gabriella M. van Dijk Netherlands 15 130 0.2× 122 0.4× 152 0.9× 103 0.7× 138 1.0× 19 1.4k
Paul Haber Austria 21 191 0.3× 85 0.3× 73 0.5× 97 0.7× 91 0.7× 69 1.3k
Klaus Weckbecker Germany 15 93 0.1× 129 0.4× 116 0.7× 125 0.9× 206 1.5× 80 783

Countries citing papers authored by Kees J. Gorter

Since Specialization
Citations

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

Fields of papers citing papers by Kees J. Gorter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kees J. Gorter

This figure shows the co-authorship network connecting the top 25 collaborators of Kees J. Gorter. A scholar is included among the top collaborators of Kees J. Gorter 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 Kees J. Gorter. Kees J. Gorter 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.
Kasteleyn, Marise J., Kees J. Gorter, Monique Heijmans, et al.. (2014). What follow-up care and self-management support do patients with type 2 diabetes want after their first acute coronary event? A qualitative study. Primary care diabetes. 8(3). 195–206. 8 indexed citations
2.
Gorter, Kees J., et al.. (2013). Differences Between Diabetes Patients Who Are Interested or Not in the Use of a Patient Web Portal. Diabetes Technology & Therapeutics. 15(7). 556–563. 26 indexed citations
3.
Koekkoek, Paula S., Guy E.H.M. Rutten, Esther van den Berg, et al.. (2013). The “Test Your Memory” test performs better than the MMSE in a population without known cognitive dysfunction. Journal of the Neurological Sciences. 328(1-2). 92–97. 20 indexed citations
4.
Wermeling, Paulien R., et al.. (2013). Six-monthly diabetes monitoring of well-controlled patients: Experiences of primary care providers. Primary care diabetes. 7(3). 187–191. 4 indexed citations
5.
Campmans‐Kuijpers, Marjo, et al.. (2013). Defining and improving quality management in Dutch diabetes care groups and outpatient clinics: design of the study. BMC Health Services Research. 13(1). 129–129. 10 indexed citations
6.
Koekkoek, Paula S., Guy E.H.M. Rutten, Carla Ruis, et al.. (2012). Mild depressive symptoms do not influence cognitive functioning in patients with type 2 diabetes. Psychoneuroendocrinology. 38(3). 376–386. 14 indexed citations
7.
Gorter, Kees J., et al.. (2012). Remission of screen-detected metabolic syndrome and its determinants: an observational study. BMC Public Health. 12(1). 778–778. 4 indexed citations
8.
Koekkoek, Paula S., et al.. (2012). High-sensitivity C-reactive protein to detect metabolic syndrome in a centrally obese population: a cross-sectional analysis. Cardiovascular Diabetology. 11(1). 25–25. 56 indexed citations
9.
Wermeling, Paulien R., Kees J. Gorter, Henk F. van Stel, & Guy E.H.M. Rutten. (2012). Both cardiovascular and non-cardiovascular comorbidity are related to health status in well-controlled type 2 diabetes patients: a cross-sectional analysis. Cardiovascular Diabetology. 11(1). 121–121. 35 indexed citations
10.
Koekkoek, Paula S., Carla Ruis, Maureen van den Donk, et al.. (2011). Intensive multifactorial treatment and cognitive functioning in screen-detected type 2 diabetes — The ADDITION-Netherlands study: A cluster-randomized trial. Journal of the Neurological Sciences. 314(1-2). 71–77. 46 indexed citations
11.
Gorter, Kees J., et al.. (2010). Management of infections in type 2 diabetes from the patient's perspective: A qualitative approach. Primary care diabetes. 5(1). 33–37.
12.
Gorter, Kees J., et al.. (2010). Opinions of patients with type 2 diabetes about responsibility, setting targets and willingness to take medication. A cross-sectional survey. Patient Education and Counseling. 84(1). 56–61. 18 indexed citations
13.
14.
Donk, Maureen van den, et al.. (2009). Identifying people with metabolic syndrome in primary care by screening with a mailed tape measure. Preventive Medicine. 48(4). 345–350. 19 indexed citations
15.
Gorter, Kees J., et al.. (2008). Insulin therapy in type 2 diabetes is no longer a secondary care activity in the Netherlands. Primary care diabetes. 3(1). 23–28. 23 indexed citations
16.
Gorter, Kees J., et al.. (2008). Do characteristics of practices and general practitioners influence the yield of diabetes screening in primary care? The ADDITION Netherlands study. Scandinavian Journal of Primary Health Care. 26(3). 160–165. 12 indexed citations
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Knol, Mirjam J., Mirjam I. Geerlings, Toine C. G. Egberts, et al.. (2007). No increased incidence of diabetes in antidepressant users. International Clinical Psychopharmacology. 22(6). 382–386. 45 indexed citations
20.
Knol, Mirjam J., Eibert R. Heerdink, Toine C. G. Egberts, et al.. (2007). Depressive Symptoms in Subjects With Diagnosed and Undiagnosed Type 2 Diabetes. Psychosomatic Medicine. 69(4). 300–305. 104 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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