Thomas R. Reardon

2.5k citations
7 papers · 1.5k indexed · 1 hit paper · h-index 6
Topics
Neuroscience and Neuropharmacology Research (4 papers)Memory and Neural Mechanisms (4 papers)Neural dynamics and brain function (1 paper)
Partner nations
United States

In The Last Decade

Thomas R. Reardon

7 papers receiving 1.5k citations

Hit Papers

Simultaneous Denoising, Deconvolution, and Demixing of Ca...20162026201920222016200400600

Peers

Thomas R. Reardon
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 973
  • Cognitive Neuroscience 883
  • Molecular Biology 263
  • Biophysics 219
  • Developmental Neuroscience 175
Replace Matthew Lovett-Barron with:
Matthew Lovett-Barron United States
Bruno Pichler United Kingdom
James H. Marshel United States
David C. Lyon United States
D. Gowanlock R. Tervo United States
Timothy A. Machado United States
Adam M. Packer United Kingdom
Michael N. Economo United States
Sarah Lindo United States
Clay Lacefield United States
Thomas R. Reardon relative to Matthew Lovett-Barron United States Matthew Lovett-Barron's profile →
Citations per field
00.5×1.5×
Matthew Lovett-Barron · 1×
Citations per year

Countries citing papers authored by Thomas R. Reardon

Since Specialization
Citations

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

Fields of papers citing papers by Thomas R. Reardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas R. Reardon. 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 Thomas R. Reardon. The network helps show where Thomas R. Reardon may publish in the future.

Co-authorship network of co-authors of Thomas R. Reardon

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 3
2 22
3
Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Databreakdown →
608
4 195
5 357
6 129
7 154

About Thomas R. Reardon

Thomas R. Reardon is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (973 citations), Cognitive Neuroscience (883 citations) and Developmental Neuroscience (175 citations). Thomas R. Reardon has collaborated with scholars based in United States. Frequent co-authors include Attila Losonczy, Gergely F. Turi, Clay Lacefield, René Hen, Matthew Lovett-Barron, Thomas M. Jessell, Patrick Kaifosh, Timothy A. Machado, Liam Paninski and Josh Merel. Their work appears in journals such as Nature, Science and Neuron.

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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