Daniela Später

2.7k total citations · 2 hit papers
12 papers, 2.1k citations indexed

About

Daniela Später is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniela Später has authored 12 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniela Später's work include Congenital heart defects research (7 papers), Pluripotent Stem Cells Research (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Daniela Später is often cited by papers focused on Congenital heart defects research (7 papers), Pluripotent Stem Cells Research (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Daniela Später collaborates with scholars based in United States, Sweden and Austria. Daniela Später's co-authors include Christine Hartmann, Makoto M. Taketo, Walter Birchmeier, Kenneth R. Chien, Lior Zangi, Kathy O. Lui, Emil M. Hansson, Wataru Ebina, Qing Ma and William T. Pu and has published in prestigious journals such as Circulation, Nature Biotechnology and Nature Cell Biology.

In The Last Decade

Daniela Später

11 papers receiving 2.0k citations

Hit Papers

Canonical Wnt/β-Catenin Signaling Prevents Osteoblasts fr... 2005 2026 2012 2019 2005 2013 250 500 750

Peers

Daniela Später
Te‐Cheng Pan United States
Devaveena Dey United States
Branka Dabovic United States
Michela Noseda United Kingdom
Dirk Hubmacher United States
Robert Pawliuk United States
Lior Zangi United States
Youngsuk Yi South Korea
Te‐Cheng Pan United States
Daniela Später
Citations per year, relative to Daniela Später Daniela Später (= 1×) peers Te‐Cheng Pan

Countries citing papers authored by Daniela Später

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Später

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Später

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

All Works

12 of 12 papers shown
1.
Fang, Meng, Alejandro Hidalgo, Anna Walentinsson, et al.. (2025). Matured hiPSC-derived cardiomyocytes possess dematuration plasticity. PubMed. 12. 100295–100295. 2 indexed citations
2.
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.
3.
Correia, Cláudia, Jonas Christoffersson, Saïd El-Haou, et al.. (2024). Enhancing Maturation and Translatability of Human Pluripotent Stem Cell-Derived Cardiomyocytes through a Novel Medium Containing Acetyl-CoA Carboxylase 2 Inhibitor. Cells. 13(16). 1339–1339. 5 indexed citations
4.
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
5.
Zangi, Lior, Qing Ma, Nishat Sultana, et al.. (2016). Insulin-Like Growth Factor 1 Receptor-Dependent Pathway Drives Epicardial Adipose Tissue Formation After Myocardial Injury. Circulation. 135(1). 59–72. 73 indexed citations
7.
Später, Daniela, Emil M. Hansson, Lior Zangi, & Kenneth R. Chien. (2014). How to make a cardiomyocyte. Development. 141(23). 4418–4431. 108 indexed citations
8.
Später, Daniela, Kristina Buac, Lior Zangi, et al.. (2013). A HCN4+ cardiomyogenic progenitor derived from the first heart field and human pluripotent stem cells. Nature Cell Biology. 15(9). 1098–1106. 147 indexed citations
9.
Zangi, Lior, Kathy O. Lui, Alexander von Gise, et al.. (2013). Modified mRNA directs the fate of heart progenitor cells and induces vascular regeneration after myocardial infarction. Nature Biotechnology. 31(10). 898–907. 501 indexed citations breakdown →
10.
Später, Daniela, et al.. (2006). Role of canonical Wnt-signalling in joint formation. European Cells and Materials. 12. 71–80. 81 indexed citations
11.
Später, Daniela, et al.. (2006). Wnt9a signaling is required for joint integrity and regulation ofIhhduring chondrogenesis. Development. 133(15). 3039–3049. 177 indexed citations
12.
Später, Daniela, et al.. (2005). Canonical Wnt/β-Catenin Signaling Prevents Osteoblasts from Differentiating into Chondrocytes. Developmental Cell. 8(5). 727–738. 882 indexed citations breakdown →

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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