Matthew G. Voas

1.7k citations
17 papers · 1.3k indexed · h-index 13
Topics
Neurogenesis and neuroplasticity mechanisms (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Neurobiology and Insect Physiology Research (2 papers)

In The Last Decade

Matthew G. Voas

17 papers receiving 1.3k citations

Peers

Matthew G. Voas
Comparison fields: 5 of 89
  • Molecular Biology 790
  • Cellular and Molecular Neuroscience 427
  • Cell Biology 302
  • Developmental Neuroscience 291
  • Genetics 138
Replace Mireille Rossel with:
Mireille Rossel France
Kevin A. Burns United States
Michael J. Jurynec United States
Rebecca Bernardos United States
Xiuqian Mu United States
Avihu Klar Israel
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Rajesh Ramachandran India
Masaki Sone Japan
Kit Wong United States
Matthew G. Voas relative to Mireille Rossel France Mireille Rossel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matthew G. Voas

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Voas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew G. Voas

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 8
2 33
3 8
4 35
5 128
6
Characterization of the vesicular nucleotide transporter (VNUT) in mammalian retina
1
7 19
8 74
9 28
10 70
11 39
12 267
13 118
14 9
15 145
16 178
17 115

About Matthew G. Voas

Matthew G. Voas is a scholar working on Developmental Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Developmental Neuroscience (291 citations), Cellular and Molecular Neuroscience (427 citations) and Cell Biology (302 citations). Matthew G. Voas has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Ilaria Rebay, William S. Talbot, David A. Lyons, Carl Wu, Paul Badenhorst, Ian G. Woods, Hans‐Martin Pogoda, Rebecca Nix, Rafael Almeida and Martin P. Meyer. Their work appears in journals such as Cell, Nature Communications and Journal of Neuroscience.

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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