David Janzén

1.0k total citations
33 papers, 723 citations indexed

About

David Janzén is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, David Janzén has authored 33 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in David Janzén's work include Cardiac electrophysiology and arrhythmias (6 papers), Gene Regulatory Network Analysis (4 papers) and Cardiac pacing and defibrillation studies (3 papers). David Janzén is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Gene Regulatory Network Analysis (4 papers) and Cardiac pacing and defibrillation studies (3 papers). David Janzén collaborates with scholars based in Sweden, United States and United Kingdom. David Janzén's co-authors include Roberto M. Lang, Angélica Paula Neumann, Kenneth M. Borow, Alan B. Schwartz, R T Jones, Mats Jirstrand, Neil D. Evans, Michael J. Chappell, Shalini Andersson and Zakauddin Vera and has published in prestigious journals such as Circulation, Journal of Applied Physiology and International Journal of Molecular Sciences.

In The Last Decade

David Janzén

31 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Janzén Sweden 17 265 238 92 75 61 33 723
Su Wang China 14 394 1.5× 257 1.1× 118 1.3× 11 0.1× 12 0.2× 39 994
Lin Ding China 13 258 1.0× 106 0.4× 89 1.0× 22 0.3× 12 0.2× 37 560
Yongzhen Liu China 19 229 0.9× 24 0.1× 93 1.0× 25 0.3× 40 0.7× 64 870
Françoise Brunner‐Ferber Switzerland 13 210 0.8× 194 0.8× 101 1.1× 21 0.3× 4 0.1× 29 629
Jennifer Pierson United States 14 382 1.4× 476 2.0× 46 0.5× 122 1.6× 9 0.1× 29 782
Takayuki Sakai Japan 13 117 0.4× 20 0.1× 102 1.1× 25 0.3× 9 0.1× 64 454
Howard Why United Kingdom 14 216 0.8× 561 2.4× 72 0.8× 17 0.2× 6 0.1× 27 829
Gerd Bode Germany 9 157 0.6× 51 0.2× 60 0.7× 20 0.3× 5 0.1× 17 491
Feifei Su China 14 264 1.0× 169 0.7× 77 0.8× 15 0.2× 3 0.0× 36 738

Countries citing papers authored by David Janzén

Since Specialization
Citations

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

Fields of papers citing papers by David Janzén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Janzén

This figure shows the co-authorship network connecting the top 25 collaborators of David Janzén. A scholar is included among the top collaborators of David Janzén 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 David Janzén. David Janzén 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.
Sun, Liu, Tim R. Eijgenraam, David Janzén, et al.. (2025). In PLN-R14del mice, SR structure restoration, rather than calcium cycling, is the dominant effector of PLN-ASO treatment. Cardiovascular Research. 121(13). 2042–2054.
2.
Eijgenraam, Tim R., Remco de Brouwer, Elisabeth M. Schouten, et al.. (2022). Antisense Therapy Attenuates Phospholamban p.(Arg14del) Cardiomyopathy in Mice and Reverses Protein Aggregation. International Journal of Molecular Sciences. 23(5). 2427–2427. 16 indexed citations
3.
Nunes, Sandro Filipe, Xiaoqiu Wu, Magnus Söderberg, et al.. (2022). Evaluation in pig of an intestinal administration device for oral peptide delivery. Journal of Controlled Release. 353. 792–801. 11 indexed citations
4.
Durrieu, L., et al.. (2022). Characterization of cell-to-cell variation in nuclear transport rates and identification of its sources. iScience. 26(1). 105906–105906. 6 indexed citations
5.
Weidolf, Lars, Anders Björkbom, Anders Dahlén, et al.. (2021). Distribution and biotransformation of therapeutic antisense oligonucleotides and conjugates. Drug Discovery Today. 26(10). 2244–2258. 20 indexed citations
6.
Björkbom, Anders, David Janzén, Sandro Filipe Nunes, et al.. (2020). In Vitro and In Vivo Evaluation of 3D Printed Capsules with Pressure Triggered Release Mechanism for Oral Peptide Delivery. Journal of Pharmaceutical Sciences. 110(1). 228–238. 27 indexed citations
7.
8.
Ämmälä, Carina, William J. Drury, Laurent Knerr, et al.. (2018). Targeted delivery of antisense oligonucleotides to pancreatic β-cells. Science Advances. 4(10). eaat3386–eaat3386. 127 indexed citations
9.
Chappell, Michael J., et al.. (2017). Input Estimation for Extended-Release Formulations Exemplified with Exenatide. Frontiers in Bioengineering and Biotechnology. 5. 24–24. 3 indexed citations
10.
Janzén, David, Mats Jirstrand, Michael J. Chappell, & Neil D. Evans. (2017). Extending existing structural identifiability analysis methods to mixed-effects models. Mathematical Biosciences. 295. 1–10. 5 indexed citations
11.
Janzén, David, Mats Jirstrand, Joanna Parkinson, et al.. (2016). Parameter Identifiability of Fundamental Pharmacodynamic Models. Frontiers in Physiology. 7. 590–590. 37 indexed citations
12.
Janzén, David, Mats Jirstrand, Michael J. Chappell, & Neil D. Evans. (2016). Three novel approaches to structural identifiability analysis in mixed-effects models. Computer Methods and Programs in Biomedicine. 171. 141–152. 17 indexed citations
13.
Karlsson, Markus, David Janzén, L. Durrieu, et al.. (2015). Nonlinear mixed-effects modelling for single cell estimation: when, why, and how to use it. BMC Systems Biology. 9(1). 52–52. 29 indexed citations
14.
15.
Lang, Roberto M., Richard H. Marcus, Angélica Paula Neumann, et al.. (1992). A time-course study of the effects of pentobarbital, fentanyl, and morphine chloralose on myocardial mechanics. Journal of Applied Physiology. 73(1). 143–150. 19 indexed citations
16.
Vera, Zakauddin, et al.. (1991). Acute Hypokalemia and Inducibility of Ventricular Tachyarrhythmia in a Nonischemic Canine Model. CHEST Journal. 100(5). 1414–1420. 7 indexed citations
17.
Dellsperger, Kevin C., David Janzén, C L Eastham, & Melvin L. Marcus. (1990). Effects of acute coronary artery occlusion on the coronary microcirculation. American Journal of Physiology-Heart and Circulatory Physiology. 259(3). H909–H916. 16 indexed citations
18.
Schwartz, Alan B., David Janzén, & Reese T. Jones. (1989). Electrophysiologic Effects of Cocaine on the Canine Ventricle. Journal of Cardiovascular Pharmacology. 13(2). 253–257. 19 indexed citations
19.
Schwartz, Alan B., et al.. (1989). Electrocardiographic and hemodynamic effects of intravenous cocaine in awake and anesthetized dogs. Journal of Electrocardiology. 22(2). 159–166. 58 indexed citations
20.
Janzén, David. (1968). Proceedings of the Symposium on the Biology of the California Islands. Systematic Biology. 17(1). 93–94. 22 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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