G. Nijpels
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Physiology
- Endocrine and Autonomic Systems top 10%
- Molecular Biology
- Co-authors
- J.M. MooyMarkku VähätaloMelanie J. DaviesHannele Yki‐JärvinenSanni LahdenperäLeena JuurinenMichael AlvarssonJoost Dekker
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Diet and metabolism studies (3 papers)Nutrition, Genetics, and Disease (2 papers)
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
G. Nijpels
10 papers receiving 275 citations
Peers
Comparison fields: 5 of 41
- Endocrinology, Diabetes and Metabolism 191
- Epidemiology 79
- Physiology 61
- Endocrine and Autonomic Systems 57
- Molecular Biology 51
Countries citing papers authored by G. Nijpels
This map shows the geographic impact of G. Nijpels'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 G. Nijpels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Nijpels more than expected).
Fields of papers citing papers by G. Nijpels
This network shows the impact of papers produced by G. Nijpels. 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 G. Nijpels. The network helps show where G. Nijpels may publish in the future.
Co-authorship network of co-authors of G. Nijpels
This figure shows the co-authorship network connecting the top 25 collaborators of G. Nijpels. A scholar is included among the top collaborators of G. Nijpels 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 G. Nijpels. G. Nijpels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Plasma advanced glycation end products are not associated with cardiovascular disease in individuals with or without type 2 diabetes: the Hoorn and CODAM studies | 1 |
| 2 | 13 | |
| 3 | Body composition as determinant of thrombin generation in plasma. The Hoorn study | 1 |
| 4 | An individual lifestyle intervention program is not more effective in changing diabetes risk and lifestyle behaviors than providing health brochures: the Hoorn prevention study | 2 |
| 5 | Cardiovascular disease risk communication for patients with type 2 diabetes: The @RISK Study | 1 |
| 6 | 0 | |
| 7 | [Finnish questionnaire reasonably good predictor of the incidence of diabetes in The Netherlands]. | 29 |
| 8 | [Estimating the individual risk of diabetes: not on the grounds of overweight only]. | 2 |
| 9 | 117 | |
| 10 | 1 | |
| 11 | 90 | |
| 12 | New data on the rate of progression of impaired glucose tolerance to NIDDM and predicting factors. | 34 |
About G. Nijpels
G. Nijpels is a scholar working on Endocrinology, Diabetes and Metabolism, Health Information Management and Pharmacy, having authored 12 papers that have together received 291 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet and metabolism studies (3 papers) and Nutrition, Genetics, and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (191 citations), Endocrine and Autonomic Systems (57 citations) and Physiology (61 citations). G. Nijpels has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include J.M. Mooy, Markku Vähätalo, Melanie J. Davies, Hannele Yki‐Järvinen, Sanni Lahdenperä, Leena Juurinen, Michael Alvarsson, Joost Dekker, Robert J. Heine and R.J. Heine. Their work appears in journals such as Diabetes Care, Diabetologia and Diabetic Medicine.
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.