Matthew A. Singer

11 total papers · 2.1k total citations
8 papers, 429 citations indexed

About

Matthew A. Singer is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew A. Singer has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Matthew A. Singer's work include TGF-β signaling in diseases (5 papers), Developmental Biology and Gene Regulation (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Matthew A. Singer is often cited by papers focused on TGF-β signaling in diseases (5 papers), Developmental Biology and Gene Regulation (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Matthew A. Singer collaborates with scholars based in United States, Brazil and Canada. Matthew A. Singer's co-authors include William M Gelbart, Vern Twombly, Catharine A. Conley, Amy Ralston, Seth S. Blair, F. Michael Hoffmann, David Bentley, Corey S. Goodman, Michael Hortsch and Andrea Penton and has published in prestigious journals such as Development, Genetics and Developmental Biology.

In The Last Decade

Matthew A. Singer

8 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew A. Singer 356 101 78 38 36 8 429
Susana Salvarezza 317 0.9× 269 2.7× 60 0.8× 18 0.5× 33 0.9× 10 480
Marika Sjöqvist 285 0.8× 143 1.4× 65 0.8× 14 0.4× 31 0.9× 10 469
Nicolas Figeac 386 1.1× 73 0.7× 58 0.7× 15 0.4× 47 1.3× 15 477
Csilla Pataki 271 0.8× 281 2.8× 71 0.9× 15 0.4× 72 2.0× 10 492
Guixin Zhu 366 1.0× 66 0.7× 28 0.4× 23 0.6× 39 1.1× 15 484
Amanda L. Neisch 215 0.6× 184 1.8× 55 0.7× 17 0.4× 17 0.5× 9 439
Catherine Sutcliffe 369 1.0× 67 0.7× 46 0.6× 22 0.6× 53 1.5× 15 461
Heather J. Spence 316 0.9× 85 0.8× 37 0.5× 25 0.7× 34 0.9× 8 400
Tamara Riedt 291 0.8× 98 1.0× 96 1.2× 11 0.3× 40 1.1× 9 454
Rebecca L. Daugherty 312 0.9× 109 1.1× 44 0.6× 16 0.4× 36 1.0× 9 420

Countries citing papers authored by Matthew A. Singer

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Singer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Singer. A scholar is included among the top collaborators of Matthew A. 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 Matthew A. Singer. Matthew A. 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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