Mikael Sunnåker

1.1k total citations · 1 hit paper
21 papers, 619 citations indexed

About

Mikael Sunnåker is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Nephrology. According to data from OpenAlex, Mikael Sunnåker has authored 21 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Nephrology. Recurrent topics in Mikael Sunnåker's work include Gene Regulatory Network Analysis (6 papers), Lung Cancer Treatments and Mutations (3 papers) and Protein Structure and Dynamics (3 papers). Mikael Sunnåker is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Lung Cancer Treatments and Mutations (3 papers) and Protein Structure and Dynamics (3 papers). Mikael Sunnåker collaborates with scholars based in Switzerland, Sweden and United States. Mikael Sunnåker's co-authors include Alberto Giovanni Busetto, Jukka Corander, Matthieu Foll, Christophe Dessimoz, Elina Numminen, Mats Jirstrand, Gunnar Cedersund, Jörg Stelling, Andreas Wagner and Joerg Stelling and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Mikael Sunnåker

20 papers receiving 611 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Approximate Bayesian Computation

2013 378 citations Mikael Sunnåker, Alberto Giovanni Busetto et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mikael Sunnåker Switzerland	10	210	109	104	80	51	21	619
Jasmin Bachmann Germany	4	467 2.2×	89 0.8×	67 0.6×	57 0.7×	123 2.4×	6	1.0k
Claus Bendtsen United Kingdom	17	219 1.0×	69 0.6×	75 0.7×	10 0.1×	27 0.5×	47	989
Oliver J. Maclaren New Zealand	13	192 0.9×	68 0.6×	38 0.4×	28 0.3×	93 1.8×	37	499
Kevin Flores United States	13	290 1.4×	113 1.0×	40 0.4×	18 0.2×	66 1.3×	43	687
Arnab Maity United States	19	248 1.2×	218 2.0×	133 1.3×	358 4.5×	14 0.3×	70	1.2k
Roman Hornung Germany	14	221 1.1×	51 0.5×	105 1.0×	56 0.7×	3 0.1×	33	698
Xianyang Zhang United States	21	362 1.7×	62 0.6×	114 1.1×	325 4.1×	4 0.1×	70	1.2k
Hannes Helgason United States	15	258 1.2×	232 2.1×	60 0.6×	30 0.4×	5 0.1×	23	829
Juho Piironen Finland	6	51 0.2×	56 0.5×	126 1.2×	158 2.0×	11 0.2×	9	543
Dennis Prangle United Kingdom	10	84 0.4×	84 0.8×	420 4.0×	453 5.7×	48 0.9×	17	795

Countries citing papers authored by Mikael Sunnåker

Since Specialization

Citations

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

Fields of papers citing papers by Mikael Sunnåker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikael Sunnåker

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Johnson, Martin, Henning Schmidt, Mikael Sunnåker, et al.. (2025). Population Pharmacokinetics of Osimertinib in Patients With Non‐Small Cell Lung Cancer. Pharmacology Research & Perspectives. 13(3). e70098–e70098. 1 indexed citations

Parkinson, Joanna, Dinko Rekić, Karin Nelander, et al.. (2024). The myeloperoxidase inhibitor mitiperstat (AZD4831) does not prolong the QT interval at expected therapeutic doses. Pharmacology Research & Perspectives. 12(2). e1184–e1184. 2 indexed citations

Pizzato, Patricia Ely, Maria Heijer, Mikael Sunnåker, et al.. (2024). The effect of severe renal impairment on the pharmacokinetics, safety and tolerability of mitiperstat. British Journal of Clinical Pharmacology. 90(12). 3212–3220. 1 indexed citations

Ueckert, Sebastian, Mikael Sunnåker, Bengt Hamrén, et al.. (2024). From Plan to Pivot: How Model‐Informed Drug Development Shaped the Dose Strategy of the Zibotentan/Dapagliflozin ZENITH Trials. Clinical Pharmacology & Therapeutics. 116(3). 653–664. 1 indexed citations

Johnson, Martin, Henning Schmidt, Mikael Sunnåker, et al.. (2024). Exposure–response modelling of osimertinib in patients with non‐small cell lung cancer. British Journal of Clinical Pharmacology. 90(12). 3263–3276. 4 indexed citations

Heerspink, Hiddo J.L., Peter J. Greasley, Christine Ahlström, et al.. (2023). Efficacy and safety of zibotentan and dapagliflozin in patients with chronic kidney disease: study design and baseline characteristics of the ZENITH-CKD trial. Nephrology Dialysis Transplantation. 39(3). 414–425. 16 indexed citations

Sunnåker, Mikael, et al.. (2023). Pharmacokinetics and Tolerability of Zibotentan in Patients with Concurrent Moderate Renal and Moderate Hepatic Impairment. Clinical Pharmacokinetics. 62(12). 1713–1724. 3 indexed citations

Sunnåker, Mikael, Dinko Rekić, Sergey Aksenov, et al.. (2021). A semi-mechanistic exposure–response model to assess the effects of verinurad, a potent URAT1 inhibitor, on serum and urine uric acid in patients with hyperuricemia-associated diseases. Journal of Pharmacokinetics and Pharmacodynamics. 48(4). 525–541. 6 indexed citations

Rybiński, Mikołaj, Simon Geir Møller, Mikael Sunnåker, Claude Lormeau, & Jörg Stelling. (2020). TopoFilter: a MATLAB package for mechanistic model identification in systems biology. BMC Bioinformatics. 21(1). 34–34. 3 indexed citations

10.

Gargiulo, Giuseppe, Marco Valgimigli, Mikael Sunnåker, et al.. (2020). Choice of access site and type of anticoagulant in acute coronary syndromes with advanced Killip class or out-of-hospital cardiac arrest. Revista Española de Cardiología (English Edition). 73(11). 893–901. 6 indexed citations

11.

Gargiulo, Giuseppe, Marco Valgimigli, Mikael Sunnåker, et al.. (2020). Lugar de acceso y tipo de anticoagulante en pacientes con síndrome coronario agudo en clase Killip avanzada o con parada cardiaca extrahospitalaria. Revista Española de Cardiología. 73(11). 893–901. 3 indexed citations

12.

Johnson, Martin, Henning Schmidt, Mikael Sunnåker, et al.. (2017). Population pharmacokinetic and pharmacodynamic analysis of osimertinib.. Journal of Clinical Oncology. 35(15_suppl). e20536–e20536. 1 indexed citations

13.

Bossuyt, Fransiska M., Ursina Arnet, Martin W. G. Brinkhof, et al.. (2017). Shoulder pain in the Swiss spinal cord injury community: prevalence and associated factors. Disability and Rehabilitation. 40(7). 798–805. 42 indexed citations

14.

Schillings, Claudia, Mikael Sunnåker, Jörg Stelling, & Christoph Schwab. (2015). Efficient Characterization of Parametric Uncertainty of Complex (Bio)chemical Networks. PLoS Computational Biology. 11(8). e1004457–e1004457. 14 indexed citations

15.

Sunnåker, Mikael, Alberto Giovanni Busetto, Elina Numminen, et al.. (2013). Approximate Bayesian Computation. PLoS Computational Biology. 9(1). e1002803–e1002803. 378 indexed citations breakdown →

16.

Busetto, Alberto Giovanni, Alain Hauser, Gabriel Krummenacher, et al.. (2013). Near-optimal experimental design for model selection in systems biology. Bioinformatics. 29(20). 2625–2632. 30 indexed citations

17.

Sunnåker, Mikael, Reinhard Dechant, Christina Ludwig, et al.. (2013). Automatic Generation of Predictive Dynamic Models Reveals Nuclear Phosphorylation as the Key Msn2 Control Mechanism. Science Signaling. 6(277). ra41–ra41. 40 indexed citations

18.

Sunnåker, Mikael, Adrián López García de Lomana, Florian Rudroff, et al.. (2013). Topological augmentation to infer hidden processes in biological systems. Bioinformatics. 30(2). 221–227. 11 indexed citations

19.

Sunnåker, Mikael, Gunnar Cedersund, & Mats Jirstrand. (2011). A method for zooming of nonlinear models of biochemical systems. BMC Systems Biology. 5(1). 140–140. 27 indexed citations

20.

Berglund, Martin, Mikael Sunnåker, Martin Adiels, Mats Jirstrand, & Bernt Wennberg. (2011). Investigations of a compartmental model for leucine kinetics using non-linear mixed effects models with ordinary and stochastic differential equations. Mathematical Medicine and Biology A Journal of the IMA. 29(4). 361–384. 17 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