K. J. Gorter
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Rheumatology top 5%
- Infectious Diseases top 10%
- Co-authors
- Guy E.H.M. RuttenEelko HakAndy I. M. HoepelmanFrançois SchellevisC. J. de WeerdtH. J. GelmersJ.R.J. de LeeuwJozien M. Bensing
- Topics
- Diabetes Management and Education (11 papers)Chronic Disease Management Strategies (7 papers)Clinical practice guidelines implementation (4 papers)
- Partner nations
- NetherlandsUnited StatesDenmark
In The Last Decade
K. J. Gorter
30 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Epidemiology 638
- Endocrinology, Diabetes and Metabolism 505
- Surgery 312
- Rheumatology 227
- Infectious Diseases 197
Countries citing papers authored by K. J. Gorter
This map shows the geographic impact of K. 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 K. 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 K. J. Gorter more than expected).
Fields of papers citing papers by K. J. Gorter
This network shows the impact of papers produced by K. 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 K. J. Gorter. The network helps show where K. J. Gorter may publish in the future.
Co-authorship network of co-authors of K. J. Gorter
This figure shows the co-authorship network connecting the top 25 collaborators of K. J. Gorter. A scholar is included among the top collaborators of K. 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 K. J. Gorter. K. J. Gorter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 20 | |
| 3 | 56 | |
| 4 | 4 | |
| 5 | 24 | |
| 6 | Opsporing van het metabool syndroom door mensen zelf hun middelomtrek te laten meten | 1 |
| 7 | 56 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 71 | |
| 11 | 20 | |
| 12 | 107 | |
| 13 | 7 | |
| 14 | 19 | |
| 15 | 66 | |
| 16 | Increased Risk of Common Infections in Patients with Type 1 and Type 2 Diabetes Mellitusbreakdown → | 743 |
| 17 | 89 | |
| 18 | 302 | |
| 19 | 13 | |
| 20 | 60 |
About K. J. Gorter
K. J. Gorter is a scholar working on Endocrinology, Diabetes and Metabolism, Applied Microbiology and Biotechnology and Family Practice, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes Management and Education (11 papers), Chronic Disease Management Strategies (7 papers) and Clinical practice guidelines implementation (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (505 citations), Epidemiology (638 citations) and Rheumatology (227 citations). K. J. Gorter has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Guy E.H.M. Rutten, Eelko Hak, Andy I. M. Hoepelman, François Schellevis, C. J. de Weerdt, H. J. Gelmers, Guy E.H.M. Rutten, J.R.J. de Leeuw, Jozien M. Bensing and Ineke van der Wulp. Their work appears in journals such as New England Journal of Medicine, Clinical Infectious Diseases and Stroke.
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.