Matthew A. Singer

2.1k citations
8 papers · 432 · h-index 7

Impact in

Papers in

    • TGF-β signaling in diseases 5
    • Developmental Biology and Gene Regulation 3
    • Epigenetics and DNA Methylation 1
    • Pluripotent Stem Cells Research 1
    • Renal and related cancers 1
    • Hippo pathway signaling and YAP/TAZ 2

Matthew A. Singer

8 papers receiving 427 citations

Peers

Matthew A. Singer
Comparison fields: 5 of 52
  • Aging 12
  • Cell Biology 100
  • Molecular Biology 354
  • Cellular and Molecular Neuroscience 74
  • Immunology 34
Replace Catherine Sutcliffe with:
Catherine Sutcliffe United Kingdom
Katherine R. Doherty United States
Nesrin Sabha Canada
Davide Andrenacci Italy
Csilla Pataki Hungary
Götz Frommer Germany
Caroline Badouel Canada
М. В. Шепелев Russia
Jasprien Noordermeer Netherlands
Lan-Hsin Wang Taiwan
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Citations per field
00.5×1.6×
Catherine Sutcliffe · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Matthew A. Singer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew A. Singer Line = papers co-authored together Matthew A. Singer links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2000130
2 199781
3 199771
4 199254
5 200142
6 200827
7 200921
8 19956

About Matthew A. Singer

Matthew A. Singer is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Rheumatology, having authored 8 papers that have together received 432 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Developmental Biology and Gene Regulation (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Blood properties and coagulation (1 paper), Epigenetics and DNA Methylation (1 paper), Pluripotent Stem Cells Research (1 paper), Renal and related cancers (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Aging (12 citations), Cell Biology (100 citations), Molecular Biology (354 citations), Cellular and Molecular Neuroscience (74 citations) and Immunology (34 citations). Matthew A. Singer has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include William M Gelbart, Vern Twombly, Amy Ralston, Catharine A. Conley, Seth S. Blair, David Bentley, Michael Hortsch, Corey S. Goodman, Stuart J. Newfeld and Jeffrey L. Wrana. Their work appears in journals such as Development, Genetics, The International Journal of Developmental Biology, Current Protocols in Stem Cell Biology and Developmental Biology.

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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