Jacqueline T. Jonker
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Co-authors
- Johannes W. A. SmitHildo J. LambAlbert de RoosIngrid M. JazetHanno PijlA. Edo MeindersMarieke SnelJohannes A. Romijn
- Topics
- Cardiovascular Disease and Adiposity (10 papers)Cardiovascular Function and Risk Factors (7 papers)Adipose Tissue and Metabolism (6 papers)
- Journals
- Journal of the American College of CardiologyPLoS ONEAmerican Journal of Clinical Nutrition
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
Jacqueline T. Jonker
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 448
- Physiology 436
- Epidemiology 313
- Endocrinology, Diabetes and Metabolism 281
- Molecular Biology 228
Countries citing papers authored by Jacqueline T. Jonker
This map shows the geographic impact of Jacqueline T. Jonker'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 Jacqueline T. Jonker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline T. Jonker more than expected).
Fields of papers citing papers by Jacqueline T. Jonker
This network shows the impact of papers produced by Jacqueline T. Jonker. 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 Jacqueline T. Jonker. The network helps show where Jacqueline T. Jonker may publish in the future.
Co-authorship network of co-authors of Jacqueline T. Jonker
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline T. Jonker. A scholar is included among the top collaborators of Jacqueline T. Jonker 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 Jacqueline T. Jonker. Jacqueline T. Jonker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 30 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 47 | |
| 11 | 89 | |
| 12 | 47 | |
| 13 | 1 | |
| 14 | 57 | |
| 15 | Plasma omentin levels in relation to cardiac function in patients with type 2 diabetes and healthy controls: effect of pioglitazone versus metformin | 1 |
| 16 | 38 | |
| 17 | 92 | |
| 18 | 48 | |
| 19 | 10 | |
| 20 | 82 |
About Jacqueline T. Jonker
Jacqueline T. Jonker is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (448 citations), Endocrinology, Diabetes and Metabolism (281 citations) and Physiology (436 citations). Jacqueline T. Jonker has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Johannes W. A. Smit, Hildo J. Lamb, Albert de Roos, Ingrid M. Jazet, Hanno Pijl, A. Edo Meinders, Marieke Snel, Johannes A. Romijn, R.W. van der Meer and Jan W. Schoones. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and American Journal of Clinical Nutrition.
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.