Jonas Kildegaard

590 total citations
20 papers, 380 citations indexed

About

Jonas Kildegaard is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Neurology. According to data from OpenAlex, Jonas Kildegaard has authored 20 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 4 papers in Neurology. Recurrent topics in Jonas Kildegaard's work include Diabetes Management and Research (10 papers), Diabetes Treatment and Management (5 papers) and Pancreatic function and diabetes (5 papers). Jonas Kildegaard is often cited by papers focused on Diabetes Management and Research (10 papers), Diabetes Treatment and Management (5 papers) and Pancreatic function and diabetes (5 papers). Jonas Kildegaard collaborates with scholars based in Denmark, United States and Sweden. Jonas Kildegaard's co-authors include Thomas Sparre, Bente Stallknecht, Ole Hejlesen, Morten Lind Jensen, Sibylle Dellweg, Tim Heise, Eric Zijlstra, Leszek Nosek, Henrik Bengtsson and Hanne H. F. Refsgaard and has published in prestigious journals such as Scientific Reports, Pharmaceutical Research and Diabetes Obesity and Metabolism.

In The Last Decade

Jonas Kildegaard

20 papers receiving 361 citations

Peers

Jonas Kildegaard
Julie Bukar United States
Didier Morel United States
Philip H. C. Kremer Netherlands
Braulio A. Marfil‐Garza Canada
Gerd Köhler Austria
Stefan Korsatko Austria
Alan W. Patrick United Kingdom
Parizad Avari United Kingdom
L Heinemann Germany
Rob Spanjersberg Netherlands
Julie Bukar United States
Jonas Kildegaard
Citations per year, relative to Jonas Kildegaard Jonas Kildegaard (= 1×) peers Julie Bukar

Countries citing papers authored by Jonas Kildegaard

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Kildegaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas Kildegaard. 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 Jonas Kildegaard. The network helps show where Jonas Kildegaard may publish in the future.

Co-authorship network of co-authors of Jonas Kildegaard

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

All Works

20 of 20 papers shown
1.
Vegge, Andreas, et al.. (2022). Electrocardiography and heart rate variability in Göttingen Minipigs: Impact of diurnal variation, lead placement, repeatability and streptozotocin-induced diabetes. Journal of Pharmacological and Toxicological Methods. 118. 107221–107221. 2 indexed citations
2.
Kildegaard, Jonas, et al.. (2021). Food intake rather than blood glucose levels affects the pharmacokinetic profile of insulin aspart in pigs. Basic & Clinical Pharmacology & Toxicology. 128(6). 783–794. 2 indexed citations
3.
Vegge, Andreas, Gro Klitgaard Povlsen, Rita Slaaby, et al.. (2021). Hyperinsulinaemic hypoglycaemia in non-anaesthetized Göttingen minipigs induces a counter-regulatory endocrine response and electrocardiographic changes. Scientific Reports. 11(1). 5983–5983. 2 indexed citations
4.
Kildegaard, Jonas, et al.. (2020). The counterregulatory response to hypoglycaemia in the pig. Basic & Clinical Pharmacology & Toxicology. 127(4). 278–286. 6 indexed citations
5.
Kildegaard, Jonas, Stephen T. Buckley, Rasmus Hjorth Nielsen, et al.. (2019). Elucidating the Mechanism of Absorption of Fast-Acting Insulin Aspart: The Role of Niacinamide. Pharmaceutical Research. 36(3). 49–49. 63 indexed citations
6.
Boiroux, Dimitri, Henrik Bengtsson, Jonas Kildegaard, et al.. (2019). Model predictive control for dose guidance in long acting insulin treatment of type 2 diabetes. 9. 100067–100067. 17 indexed citations
7.
Nilsson, Cecilia, Anna Secher, Jonas Kildegaard, et al.. (2017). Differential hypothalamic leptin sensitivity in obese rat offspring exposed to maternal and postnatal intake of chocolate and soft drink. Nutrition and Diabetes. 7(1). e242–e242. 10 indexed citations
8.
Boiroux, Dimitri, et al.. (2017). Model for Simulating Fasting Glucose in Type 2 Diabetes and the Effect of Adherence to Treatment. IFAC-PapersOnLine. 50(1). 15086–15091. 15 indexed citations
9.
Jensen, Morten Lind, et al.. (2016). Pen needle design influences ease of insertion, pain, and skin trauma in subjects with type 2 diabetes. BMJ Open Diabetes Research & Care. 4(1). e000266–e000266. 27 indexed citations
10.
Stallknecht, Bente, et al.. (2016). Injection Technique and Pen Needle Design Affect Leakage From Skin After Subcutaneous Injections. Journal of Diabetes Science and Technology. 10(4). 914–922. 31 indexed citations
11.
Kirk, Rikke Kaae, Berit Østergaard Christoffersen, Henrik D. Pedersen, et al.. (2015). Göttingen minipig model of diet-induced atherosclerosis: influence of mild streptozotocin-induced diabetes on lesion severity and markers of inflammation evaluated in obese, obese and diabetic, and lean control animals. Journal of Translational Medicine. 13(1). 312–312. 28 indexed citations
12.
Heise, Tim, Leszek Nosek, Sibylle Dellweg, et al.. (2014). Impact of injection speed and volume on perceived pain during subcutaneous injections into the abdomen and thigh: a single‐centre, randomized controlled trial. Diabetes Obesity and Metabolism. 16(10). 971–976. 90 indexed citations
13.
Stallknecht, Bente, et al.. (2014). Skin Blood Perfusion and Cellular Response to Insertion of Insulin Pen Needles With Different Diameters. Journal of Diabetes Science and Technology. 8(4). 752–759. 8 indexed citations
14.
15.
Petersen, Steffen B., Jonas Kildegaard, F. S. Nielsen, et al.. (2009). Pharmacokinetics following continuous subcutaneous insulin infusion of insulin aspart with or without initial subcutaneous bolus. Diabetes Obesity and Metabolism. 12(4). 334–340. 5 indexed citations
16.
Kildegaard, Jonas, et al.. (2009). Sources of Glycemic Variability—What Type of Technology is Needed?. Journal of Diabetes Science and Technology. 3(4). 986–991. 16 indexed citations
17.
Bækgaard, Martin, et al.. (2009). A Physiological Model of the Effect of Hypoglycemia on Plasma Potassium. Journal of Diabetes Science and Technology. 3(4). 887–894. 11 indexed citations
18.
Kildegaard, Jonas, et al.. (2007). The Impact of Non–Model-Related Variability on Blood Glucose Prediction. Diabetes Technology & Therapeutics. 9(4). 363–371. 18 indexed citations
19.
Kildegaard, Jonas, et al.. (2007). Modeling the Effect of Blood Glucose and Physical Exercise on Plasma Adrenaline in People with Type 1 Diabetes. Diabetes Technology & Therapeutics. 9(6). 501–508. 6 indexed citations
20.
Hejlesen, Ole, et al.. (2007). A Study of Trained Clinicians’ Blood Glucose Predictions Based on Diaries of People with Type 1 Diabetes. Methods of Information in Medicine. 46(5). 553–557. 4 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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