Emma S. Singer

30 total papers · 451 total citations
12 papers, 188 citations indexed

About

Emma S. Singer is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Emma S. Singer has authored 12 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Emma S. Singer's work include Cardiomyopathy and Myosin Studies (7 papers), Congenital heart defects research (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Emma S. Singer is often cited by papers focused on Cardiomyopathy and Myosin Studies (7 papers), Congenital heart defects research (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Emma S. Singer collaborates with scholars based in Australia, Canada and Singapore. Emma S. Singer's co-authors include Richard D. Bagnall, Jodie Ingles, Christopher Semsarian, Samantha Barratt Ross, Raymond W. Sy, Laura Yeates, Jacob Tfelt‐Hansen, Robert G. Weintraub, Hariharan Raju and Nichole Giles and has published in prestigious journals such as Journal of the American College of Cardiology, Cell Death and Disease and Genetics in Medicine.

In The Last Decade

Emma S. Singer

11 papers receiving 186 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emma S. Singer 133 100 20 18 18 12 188
Martín Ortiz-Genga 193 1.5× 86 0.9× 8 0.4× 21 1.2× 10 0.6× 15 211
Ji Zheng 71 0.5× 138 1.4× 18 0.9× 13 0.7× 19 1.1× 17 283
Stephanie Harris 93 0.7× 45 0.5× 13 0.7× 18 1.0× 46 2.6× 11 166
Diego García-Giustiniani 182 1.4× 75 0.8× 20 1.0× 22 1.2× 17 0.9× 16 228
Angela C. Tai 132 1.0× 116 1.2× 9 0.5× 30 1.7× 21 1.2× 7 196
Karen Livesey 185 1.4× 128 1.3× 11 0.6× 23 1.3× 11 0.6× 7 260
Marcos Cicerchia 166 1.2× 60 0.6× 6 0.3× 37 2.1× 9 0.5× 11 174
Akihiko Hodatsu 244 1.8× 83 0.8× 8 0.4× 23 1.3× 10 0.6× 15 279
Fabienne Prieur 112 0.8× 104 1.0× 9 0.5× 15 0.8× 77 4.3× 13 250
Katherine Agre 118 0.9× 115 1.1× 10 0.5× 13 0.7× 41 2.3× 10 240

Countries citing papers authored by Emma S. Singer

Since Specialization
Citations

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

Fields of papers citing papers by Emma S. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma S. Singer. 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 Emma S. Singer. The network helps show where Emma S. Singer may publish in the future.

Co-authorship network of co-authors of Emma S. Singer

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

All Works

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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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