Michelle J. Redinbaugh

836 citations
10 papers · 442 indexed · 1 hit paper · h-index 7
Topics
Neural dynamics and brain function (10 papers)Functional Brain Connectivity Studies (7 papers)EEG and Brain-Computer Interfaces (5 papers)

In The Last Decade

Michelle J. Redinbaugh

10 papers receiving 438 citations

Hit Papers

Thalamus Modulates Consciousness via Layer-Specific Contr...2020202620222024202050100150200

Peers

Michelle J. Redinbaugh
Comparison fields: 5 of 50
  • Cognitive Neuroscience 353
  • Cellular and Molecular Neuroscience 127
  • Neurology 62
  • Epidemiology 53
  • Radiology, Nuclear Medicine and Imaging 43
Replace Sounak Mohanta with:
Sounak Mohanta United States
Mohsen Afrasiabi United States
Nobuhide Hirai Japan
Yuncong Ma United States
UnCheol Lee United States
Eunjin Hwang South Korea
Andreas Ranft Germany
Gusalija Behnisch Germany
Guya Devalle Italy
Brian H. Silverstein United States
Michelle J. Redinbaugh relative to Sounak Mohanta United States Sounak Mohanta's profile →
Citations per field
00.5×1.5×
Sounak Mohanta · 1×
Citations per year

Countries citing papers authored by Michelle J. Redinbaugh

Since Specialization
Citations

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

Fields of papers citing papers by Michelle J. Redinbaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle J. Redinbaugh. 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 Michelle J. Redinbaugh. The network helps show where Michelle J. Redinbaugh may publish in the future.

Co-authorship network of co-authors of Michelle J. Redinbaugh

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 3
2 23
3 5
4 21
5 21
6 39
7 55
8
Thalamus Modulates Consciousness via Layer-Specific Control of Cortexbreakdown →
237
9 35
10 3

About Michelle J. Redinbaugh

Michelle J. Redinbaugh is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 442 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (7 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Cognitive Neuroscience (353 citations), Cellular and Molecular Neuroscience (127 citations) and Anesthesiology and Pain Medicine (25 citations). Michelle J. Redinbaugh has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Yuri B. Saalmann, Sounak Mohanta, Jessica M. Phillips, Niranjan A. Kambi, Mohsen Afrasiabi, Aeyal Raz, James M. Shine, Andrew Haun, Christopher J. Whyte and Steven Kecskemeti. Their work appears in journals such as Neuron, NeuroImage and Neuroscience & Biobehavioral Reviews.

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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