G. Nijpels

702 total citations
12 papers, 291 citations indexed

About

G. Nijpels is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics. According to data from OpenAlex, G. Nijpels has authored 12 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Physiology and 3 papers in Genetics. Recurrent topics in G. Nijpels's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet and metabolism studies (3 papers) and Nutrition, Genetics, and Disease (2 papers). G. Nijpels is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet and metabolism studies (3 papers) and Nutrition, Genetics, and Disease (2 papers). G. Nijpels collaborates with scholars based in Netherlands, United States and Italy. G. Nijpels's 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 and has published in prestigious journals such as Diabetes Care, Diabetologia and Diabetic Medicine.

In The Last Decade

G. Nijpels

10 papers receiving 275 citations

Peers

G. Nijpels

EDM

EPIDE

PHYSI

EAS

Toru Matsudaira Japan

Dominique Ballaux Belgium

Ibiye Owei United States

Arlette Soros United States

Albert Szöcs Hungary

Iris Ciba Sweden

Piotr Skałba Poland

Kylie McLachlan Australia

Imam Subekti Indonesia

Sara Ebrahimi Iran

Toru Matsudaira Japan

G. Nijpels

159 ×0.8

EDM

112 ×1.4

EPIDE

95 ×1.6

PHYSI

47 ×0.8

EAS

39 ×0.8

Citations per year, relative to G. Nijpels G. Nijpels (= 1×) peers Toru Matsudaira

Countries citing papers authored by G. Nijpels

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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12 of 12 papers shown

Hanssen, Nordin M.J., Lian Engelen, Isabel Ferreira, et al.. (2012). Plasma advanced glycation end products are not associated with cardiovascular disease in individuals with or without type 2 diabetes: the Hoorn and CODAM studies. Diabetologia. 55. 1 indexed citations

Brodovicz, Kimberly G., Joost Dekker, J.M. Rijkelijkhuizen, et al.. (2011). The Finnish Diabetes Risk Score is associated with insulin resistance but not reduced β‐cell function, by classical and model‐based estimates. Diabetic Medicine. 28(9). 1078–1081. 13 indexed citations

Ferreira, Isabel, Henri M.H. Spronk, Bert Bravenboer, et al.. (2010). Body composition as determinant of thrombin generation in plasma. The Hoorn study. Research Online (University of Wollongong). 1 indexed citations

Lakerveld, Jeroen, Sandra D.M. Bot, Mai J. M. Chinapaw, Piet J. Kostense, & G. Nijpels. (2010). An individual lifestyle intervention program is not more effective in changing diabetes risk and lifestyle behaviors than providing health brochures: the Hoorn prevention study. Pure Amsterdam UMC. 53. 2 indexed citations

Welschen, Laura M.C., Sandra D.M. Bot, Trudy van der Weijden, et al.. (2010). Cardiovascular disease risk communication for patients with type 2 diabetes: The @RISK Study. Pure Amsterdam UMC. 53. 1 indexed citations

Dekker, Jan P., J.M. Rijkelijkhuizen, Marjan Alssema, et al.. (2009). Abstract: P409 INCRETINS ARE ASSOCIATED WITH POSTPRANDIAL TRIGYCERIDES. Atherosclerosis Supplements. 10(2). e719–e719.

Alssema, Marjan, et al.. (2008). [Finnish questionnaire reasonably good predictor of the incidence of diabetes in The Netherlands].. PubMed. 152(44). 2418–24. 29 indexed citations

Riet, Esther van ‘t, Marjan Alssema, G. Nijpels, & Joost Dekker. (2008). [Estimating the individual risk of diabetes: not on the grounds of overweight only].. PubMed. 152(44). 2385–8. 2 indexed citations

Yki‐Järvinen, Hannele, Leena Juurinen, Michael Alvarsson, et al.. (2007). Initiate Insulin by Aggressive Titration and Education (INITIATE). Diabetes Care. 30(6). 1364–1369. 117 indexed citations

10.

Scheffer, P, et al.. (2006). Th-P15:145 Circulating oxidized LDL is inversely associated with the ability of HDL to inactivate oxidized phospholipids. Atherosclerosis Supplements. 7(3). 525–525. 1 indexed citations

11.

Ruige, Johannes, Joost Dekker, Werner Blum, et al.. (1999). Leptin and variables of body adiposity, energy balance, and insulin resistance in a population-based study. The Hoorn Study.. Diabetes Care. 22(7). 1097–1104. 90 indexed citations

12.

Heine, Robert J., G. Nijpels, & J.M. Mooy. (1996). New data on the rate of progression of impaired glucose tolerance to NIDDM and predicting factors.. PubMed. 13(3 Suppl 2). S12–4. 34 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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