Richard A. M. Jonkers

1.7k total citations
15 papers, 1.1k citations indexed

About

Richard A. M. Jonkers is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Richard A. M. Jonkers has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 6 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in Richard A. M. Jonkers's work include Adipose Tissue and Metabolism (11 papers), Muscle metabolism and nutrition (6 papers) and Nutrition and Health in Aging (3 papers). Richard A. M. Jonkers is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Muscle metabolism and nutrition (6 papers) and Nutrition and Health in Aging (3 papers). Richard A. M. Jonkers collaborates with scholars based in Netherlands, Belgium and United Kingdom. Richard A. M. Jonkers's co-authors include Luc J. C. van Loon, Paul Dendale, Lex B. Verdijk, Hans H. C. M. Savelberg, Kenneth Meijer, Milou Beelen, Ralph Manders, René Koopman, Luk Corluy and Dominique Hansen and has published in prestigious journals such as American Journal of Clinical Nutrition, Medicine & Science in Sports & Exercise and Diabetologia.

In The Last Decade

Richard A. M. Jonkers

15 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
Richard A. M. Jonkers Netherlands 12 691 458 373 173 143 15 1.1k
Alison C. Jozsi United States 16 623 0.9× 247 0.5× 468 1.3× 143 0.8× 103 0.7× 19 1.1k
Ruud Van Thienen Belgium 20 610 0.9× 366 0.8× 223 0.6× 160 0.9× 238 1.7× 28 1.2k
Kristian Kiilerich Denmark 13 584 0.8× 283 0.6× 384 1.0× 185 1.1× 134 0.9× 14 909
Juliette A. Strauss United Kingdom 19 499 0.7× 346 0.8× 293 0.8× 175 1.0× 127 0.9× 40 958
P. Berthon France 17 311 0.5× 218 0.5× 240 0.6× 166 1.0× 114 0.8× 30 718
J. Proietto Australia 14 307 0.4× 329 0.7× 199 0.5× 106 0.6× 122 0.9× 25 862
S. Asp Denmark 11 585 0.8× 394 0.9× 338 0.9× 704 4.1× 190 1.3× 12 1.2k
Randall W. Bryner United States 13 447 0.6× 152 0.3× 364 1.0× 138 0.8× 86 0.6× 20 905
Lauren MacNeil Canada 19 419 0.6× 319 0.7× 483 1.3× 246 1.4× 58 0.4× 34 1.0k
Joanne Mallinson United Kingdom 13 383 0.6× 173 0.4× 246 0.7× 56 0.3× 56 0.4× 23 832

Countries citing papers authored by Richard A. M. Jonkers

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. M. Jonkers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard A. M. Jonkers. 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 Richard A. M. Jonkers. The network helps show where Richard A. M. Jonkers may publish in the future.

Co-authorship network of co-authors of Richard A. M. Jonkers

This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. M. Jonkers. A scholar is included among the top collaborators of Richard A. M. Jonkers 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 Richard A. M. Jonkers. Richard A. M. Jonkers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Jonkers, Richard A. M., et al.. (2015). Effects of acute exercise on lipid content and dietary lipid uptake in liver and skeletal muscle of lean and diabetic rats. American Journal of Physiology-Endocrinology and Metabolism. 309(10). E874–E883. 10 indexed citations
2.
Verdijk, Lex B., Marlou L. Dirks, Tim Snijders, et al.. (2012). Reduced Satellite Cell Numbers with Spinal Cord Injury and Aging in Humans. Medicine & Science in Sports & Exercise. 44(12). 2322–2330. 85 indexed citations
3.
Jonkers, Richard A. M., Luc J. C. van Loon, Klaas Nicolay, & Jeanine J. Prompers. (2012). In vivo postprandial lipid partitioning in liver and skeletal muscle in prediabetic and diabetic rats. Diabetologia. 56(3). 618–626. 12 indexed citations
4.
Jonkers, Richard A. M., et al.. (2011). Multitissue assessment of in vivo postprandial intracellular lipid partitioning in rats using localized 1H‐[13C] magnetic resonance spectroscopy. Magnetic Resonance in Medicine. 68(4). 997–1006. 14 indexed citations
5.
Jonkers, Richard A. M., Marlou L. Dirks, Christine Nabuurs, et al.. (2011). Myofibrillar distribution of succinate dehydrogenase activity and lipid stores differs in skeletal muscle tissue of paraplegic subjects. American Journal of Physiology-Endocrinology and Metabolism. 302(3). E365–E373. 7 indexed citations
6.
Hansen, Dominique, Paul Dendale, Milou Beelen, et al.. (2010). Plasma adipokine and inflammatory marker concentrations are altered in obese, as opposed to non-obese, type 2 diabetes patients. European Journal of Applied Physiology. 109(3). 397–404. 97 indexed citations
7.
Hansen, Dominique, Paul Dendale, Richard A. M. Jonkers, et al.. (2009). Continuous low- to moderate-intensity exercise training is as effective as moderate- to high-intensity exercise training at lowering blood HbA1c in obese type 2 diabetes patients. Diabetologia. 52(9). 1789–1797. 130 indexed citations
8.
Verdijk, Lex B., Richard A. M. Jonkers, Kenneth Meijer, et al.. (2009). Skeletal Muscle Hypertrophy Following Resistance Training Is Accompanied by a Fiber Type-Specific Increase in Satellite Cell Content in Elderly Men. The Journals of Gerontology Series A. 64A(3). 332–339. 291 indexed citations
9.
Praet, Stephan, Richard A. M. Jonkers, Goof Schep, et al.. (2008). Long-standing, insulin-treated type 2 diabetes patients with complications respond well to short-term resistance and interval exercise training. European Journal of Endocrinology. 158(2). 163–172. 60 indexed citations
10.
Verdijk, Lex B., Richard A. M. Jonkers, Milou Beelen, et al.. (2008). Protein supplementation before and after exercise does not further augment skeletal muscle hypertrophy after resistance training in elderly men. American Journal of Clinical Nutrition. 89(2). 608–616. 187 indexed citations
11.
Hansen, Dominique, Paul Dendale, Milou Beelen, et al.. (2008). Low Intensity Exercise Is Equally Effective As High Intensity Exercise Training To Improve Glycemic Control In Obese Type 2 Diabetes Patients. Medicine & Science in Sports & Exercise. 40(5). S42–S42. 1 indexed citations
12.
Stellingwerff, Trent, Hanneke Boon, Richard A. M. Jonkers, et al.. (2007). Significant intramyocellular lipid use during prolonged cycling in endurance-trained males as assessed by three different methodologies. American Journal of Physiology-Endocrinology and Metabolism. 292(6). E1715–E1723. 64 indexed citations
13.
Boon, Hanneke, Richard A. M. Jonkers, René Koopman, et al.. (2007). Substrate Source Use in Older, Trained Males after Decades of Endurance Training. Medicine & Science in Sports & Exercise. 39(12). 2160–2170. 16 indexed citations
14.
Praet, Stephan, Richard A. M. Jonkers, Klaas Nicolay, et al.. (2006). 31P MR spectroscopy and in vitro markers of oxidative capacity in type 2 diabetes patients. Magnetic Resonance Materials in Physics Biology and Medicine. 19(6). 321–331. 25 indexed citations
15.
Koopman, René, Ralph Manders, Richard A. M. Jonkers, et al.. (2005). Intramyocellular lipid and glycogen content are reduced following resistance exercise in untrained healthy males. European Journal of Applied Physiology. 96(5). 525–534. 113 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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