Rune Viig Overgaard

1.3k total citations
33 papers, 1000 citations indexed

About

Rune Viig Overgaard is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Rune Viig Overgaard has authored 33 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 5 papers in Statistics and Probability. Recurrent topics in Rune Viig Overgaard's work include Diabetes Treatment and Management (12 papers), Metabolism, Diabetes, and Cancer (11 papers) and Diabetes Management and Research (8 papers). Rune Viig Overgaard is often cited by papers focused on Diabetes Treatment and Management (12 papers), Metabolism, Diabetes, and Cancer (11 papers) and Diabetes Management and Research (8 papers). Rune Viig Overgaard collaborates with scholars based in Denmark, Sweden and United States. Rune Viig Overgaard's co-authors include Steen H. Ingwersen, Henrik Madsen, Kristin C. Carlsson Petri, Andrea Navarria, Lisbeth V. Jacobsen, Henrik Agersø, Christoffer W. Tornøe, E. Niclas Jonsson, Anne Flint and Jonas Bech Møller and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Gut.

In The Last Decade

Rune Viig Overgaard

33 papers receiving 982 citations

Peers

Rune Viig Overgaard
Paula Curtis United Kingdom
Steen H. Ingwersen Denmark
Gideon Bahn United States
Petra Lenzini United States
Georgia Ragia Greece
Michael V. Holmes United Kingdom
Brian Topp United States
Helle Linnebjerg United States
Martin Armstrong United Kingdom
James K. Burmester United States
Paula Curtis United Kingdom
Rune Viig Overgaard
Citations per year, relative to Rune Viig Overgaard Rune Viig Overgaard (= 1×) peers Paula Curtis

Countries citing papers authored by Rune Viig Overgaard

Since Specialization
Citations

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

Fields of papers citing papers by Rune Viig Overgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rune Viig Overgaard. 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 Rune Viig Overgaard. The network helps show where Rune Viig Overgaard may publish in the future.

Co-authorship network of co-authors of Rune Viig Overgaard

This figure shows the co-authorship network connecting the top 25 collaborators of Rune Viig Overgaard. A scholar is included among the top collaborators of Rune Viig Overgaard 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 Rune Viig Overgaard. Rune Viig Overgaard 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.
Horn, Deborah B., Domenica Rubino, Rasmus Sørrig, et al.. (2023). A model‐based approach to predict individual weight loss with semaglutide in people with overweight or obesity. Diabetes Obesity and Metabolism. 25(11). 3171–3180. 18 indexed citations
2.
Overgaard, Rune Viig, CHRISTIN L. HERTZ, Steen H. Ingwersen, Andrea Navarria, & Daniel J. Drucker. (2021). Levels of circulating semaglutide determine reductions in HbA1c and body weight in people with type 2 diabetes. Cell Reports Medicine. 2(9). 100387–100387. 70 indexed citations
3.
Overgaard, Rune Viig, et al.. (2021). Clinical Pharmacokinetics of Oral Semaglutide: Analyses of Data from Clinical Pharmacology Trials. Clinical Pharmacokinetics. 60(10). 1335–1348. 78 indexed citations
4.
5.
Overgaard, Rune Viig, et al.. (2019). Population Pharmacokinetics of Semaglutide for Type 2 Diabetes. Diabetes Therapy. 10(2). 649–662. 26 indexed citations
6.
Strathe, Anders Bjerring, et al.. (2019). Optimizing Dose-Finding Studies for Drug Combinations Based on Exposure-Response Models. The AAPS Journal. 21(5). 95–95. 2 indexed citations
7.
Petri, Kristin C. Carlsson, Steen H. Ingwersen, Anne Flint, Jeppe Zacho, & Rune Viig Overgaard. (2018). Semaglutide s.c. Once-Weekly in Type 2 Diabetes: A Population Pharmacokinetic Analysis. Diabetes Therapy. 9(4). 1533–1547. 33 indexed citations
8.
Strathe, Anders Bjerring, et al.. (2018). Feasibility of Exposure-Response Analyses for Clinical Dose-Ranging Studies of Drug Combinations. The AAPS Journal. 20(3). 64–64. 4 indexed citations
9.
10.
Overgaard, Rune Viig, Kristin C. Carlsson Petri, Lisbeth V. Jacobsen, & Christine B. Jensen. (2016). Liraglutide 3.0 mg for Weight Management: A Population Pharmacokinetic Analysis. Clinical Pharmacokinetics. 55(11). 1413–1422. 49 indexed citations
11.
Agersø, Henrik, Rune Viig Overgaard, Lene Hansen, et al.. (2014). Pharmacokinetics of an anti-TFPI monoclonal antibody (concizumab) blocking the TFPI interaction with the active site of FXa in Cynomolgus monkeys after iv and sc administration. European Journal of Pharmaceutical Sciences. 56. 65–69. 33 indexed citations
12.
Møller, Jonas Bech, Chiara Dalla Man, Rune Viig Overgaard, et al.. (2014). Ethnic Differences in Insulin Sensitivity, β-Cell Function, and Hepatic Extraction Between Japanese and Caucasians: A Minimal Model Analysis. The Journal of Clinical Endocrinology & Metabolism. 99(11). 4273–4280. 78 indexed citations
13.
Møller, Jonas Bech, William J. Jusko, Wei Gao, et al.. (2011). Mechanism-based population modelling for assessment of L-cell function based on total GLP-1 response following an oral glucose tolerance test. Journal of Pharmacokinetics and Pharmacodynamics. 38(6). 713–725. 14 indexed citations
14.
Møller, Jonas Bech, Rune Viig Overgaard, Henrik Madsen, et al.. (2009). Predictive performance for population models using stochastic differential equations applied on data from an oral glucose tolerance test. Journal of Pharmacokinetics and Pharmacodynamics. 37(1). 85–98. 13 indexed citations
15.
Overgaard, Rune Viig, Mats O. Karlsson, & Steen H. Ingwersen. (2007). Pharmacodynamic model of interleukin-21 effects on red blood cells in cynomolgus monkeys. Journal of Pharmacokinetics and Pharmacodynamics. 34(4). 559–574. 3 indexed citations
16.
Dammann, Bernd, et al.. (2007). A matlab framework for estimation of NLME models using stochastic differential equations. Journal of Pharmacokinetics and Pharmacodynamics. 34(5). 623–642. 20 indexed citations
17.
Overgaard, Rune Viig, et al.. (2006). PKPD Model of Interleukin-21 Effects on Thermoregulation in Monkeys—Application and Evaluation of Stochastic Differential Equations. Pharmaceutical Research. 24(2). 298–309. 13 indexed citations
18.
Vio, R., P. Rebusco, P. Andreani, Henrik Madsen, & Rune Viig Overgaard. (2006). Stochastic modeling of kHz quasi-periodic oscillation light curves. Astronomy and Astrophysics. 452(2). 383–386. 7 indexed citations
19.
Overgaard, Rune Viig, Jan Erik Henriksen, & Henrik Madsen. (2005). Insights to the minimal model of insulin secretion through a mean-field beta cell model. Journal of Theoretical Biology. 237(4). 382–389. 7 indexed citations
20.
Tornøe, Christoffer W., Rune Viig Overgaard, Henrik Agersø, et al.. (2005). Stochastic Differential Equations in NONMEM®: Implementation, Application, and Comparison with Ordinary Differential Equations. Pharmaceutical Research. 22(8). 1247–1258. 50 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Paula Curtis Breakdown of academic impact, for papers by Steen H. Ingwersen Breakdown of academic impact, for papers by Gideon Bahn Breakdown of academic impact, for papers by Petra Lenzini Breakdown of academic impact, for papers by Georgia Ragia Breakdown of academic impact, for papers by Michael V. Holmes Breakdown of academic impact, for papers by Brian Topp Breakdown of academic impact, for papers by Helle Linnebjerg Breakdown of academic impact, for papers by Martin Armstrong Breakdown of academic impact, for papers by James K. Burmester
Rankless by CCL
2026