David Staudt

1.9k total citations · 1 hit paper
10 papers, 1.5k citations indexed

About

David Staudt is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, David Staudt has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cell Biology. Recurrent topics in David Staudt's work include Cardiomyopathy and Myosin Studies (5 papers), Congenital heart defects research (4 papers) and Zebrafish Biomedical Research Applications (2 papers). David Staudt is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Congenital heart defects research (4 papers) and Zebrafish Biomedical Research Applications (2 papers). David Staudt collaborates with scholars based in United States, Germany and Japan. David Staudt's co-authors include Didier Y. R. Stainier, Michael J. Kruhlak, Robert F. Bonner, Arkady Celeste, Duane R. Pilch, Alicia Lee, André Nussenzweig, Óscar Fernández-Capetillo, William M. Bonner and Jiandong Liu and has published in prestigious journals such as Nature Cell Biology, Molecular and Cellular Biology and Development.

In The Last Decade

David Staudt

8 papers receiving 1.5k citations

Hit Papers

Histone H2AX phosphorylation is dispensable for the initi... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Staudt United States 7 1.3k 274 266 255 183 10 1.5k
Valentina Evdokimova Canada 18 1.7k 1.3× 391 1.4× 404 1.5× 149 0.6× 61 0.3× 26 2.1k
Katharine H. Wrighton United States 14 1.3k 1.0× 171 0.6× 321 1.2× 173 0.7× 37 0.2× 135 1.6k
Claudia Mertens United States 15 1.3k 1.0× 391 1.4× 328 1.2× 144 0.6× 65 0.4× 18 1.6k
Christopher M. Brennan United States 10 1.6k 1.2× 321 1.2× 156 0.6× 148 0.6× 65 0.4× 15 1.9k
José M. Izquierdo Spain 28 1.8k 1.4× 340 1.2× 119 0.4× 75 0.3× 121 0.7× 73 2.2k
Armen Parsyan Canada 18 1.1k 0.8× 417 1.5× 121 0.5× 86 0.3× 59 0.3× 36 1.8k
Beth S. Lee United States 24 1.0k 0.8× 109 0.4× 204 0.8× 211 0.8× 74 0.4× 47 1.3k
Vicky K. Yang United States 14 1.7k 1.3× 217 0.8× 192 0.7× 151 0.6× 425 2.3× 34 2.1k
Qiaozhen Liu China 18 829 0.6× 160 0.6× 76 0.3× 145 0.6× 212 1.2× 22 1.4k
Ahmad Salameh United States 18 668 0.5× 273 1.0× 340 1.3× 94 0.4× 33 0.2× 24 1.1k

Countries citing papers authored by David Staudt

Since Specialization
Citations

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

Fields of papers citing papers by David Staudt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Staudt

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

All Works

10 of 10 papers shown
2.
Briganti, Francesca, et al.. (2021). Human iPSC modeling of heart disease for drug development. Cell chemical biology. 28(3). 271–282. 40 indexed citations
3.
Liebling, Michael, David Staudt, Jiandong Liu, et al.. (2021). High-resolution imaging of cardiomyocyte behavior reveals two distinct steps in ventricular trabeculation. UNC Libraries.
4.
Jiménez-Amilburu, Vanesa, Seyed Javad Rasouli, David Staudt, et al.. (2016). In Vivo Visualization of Cardiomyocyte Apicobasal Polarity Reveals Epithelial to Mesenchymal-like Transition during Cardiac Trabeculation. Cell Reports. 17(10). 2687–2699. 47 indexed citations
5.
Staudt, David, Jiandong Liu, Kurt S. Thorn, et al.. (2014). High-resolution imaging of cardiomyocyte behavior reveals two distinct steps in ventricular trabeculation. Development. 141(3). 585–593. 109 indexed citations
6.
Staudt, David & Didier Y. R. Stainier. (2012). Uncovering the Molecular and Cellular Mechanisms of Heart Development Using the Zebrafish. Annual Review of Genetics. 46(1). 397–418. 211 indexed citations
7.
Liu, Jiandong, Michael Bressan, David Hassel, et al.. (2010). A dual role for ErbB2 signaling in cardiac trabeculation. Development. 137(22). 3867–3875. 185 indexed citations
8.
Zheng, Lixin, Nicolas Bidère, David Staudt, et al.. (2006). Competitive Control of Independent Programs of Tumor Necrosis Factor Receptor-Induced Cell Death by TRADD and RIP1. Molecular and Cellular Biology. 26(9). 3505–3513. 120 indexed citations
9.
Celeste, Arkady, Óscar Fernández-Capetillo, Michael J. Kruhlak, et al.. (2003). Histone H2AX phosphorylation is dispensable for the initial recognition of DNA breaks. Nature Cell Biology. 5(7). 675–679. 792 indexed citations breakdown →
10.
Ramírez, Alex, et al.. (2001). Minority-Serving Institutions: Building the Human Connection.. 15(1). 10–12. 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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