Angela Tooker

65 total papers · 1.9k total citations
39 papers, 1.2k citations indexed

About

Angela Tooker is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Angela Tooker has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 25 papers in Cognitive Neuroscience and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Angela Tooker's work include Neuroscience and Neural Engineering (31 papers), Neural dynamics and brain function (14 papers) and EEG and Brain-Computer Interfaces (13 papers). Angela Tooker is often cited by papers focused on Neuroscience and Neural Engineering (31 papers), Neural dynamics and brain function (14 papers) and EEG and Brain-Computer Interfaces (13 papers). Angela Tooker collaborates with scholars based in United States, Iceland and Australia. Angela Tooker's co-authors include Vanessa Tolosa, Sarah Felix, Loren M. Frank, Jason E. Chung, Kedar G. Shah, Leslie Greengard, Alex H. Barnett, Jeremy F. Magland, Tai Ye and Jerome Pine and has published in prestigious journals such as Nature Communications, Neuron and Journal of The Electrochemical Society.

In The Last Decade

Angela Tooker

38 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Angela Tooker 923 666 346 318 88 39 1.2k
Attila Kaszás 677 0.7× 402 0.6× 283 0.8× 189 0.6× 174 2.0× 31 1.1k
David J. Edell 668 0.7× 280 0.4× 508 1.5× 511 1.6× 190 2.2× 33 1.3k
Wolfgang Eberle 619 0.7× 270 0.4× 362 1.0× 632 2.0× 57 0.6× 70 1.4k
Ramin Pashaie 1.1k 1.2× 502 0.8× 503 1.5× 357 1.1× 152 1.7× 41 1.5k
Ilker Ozden 718 0.8× 483 0.7× 241 0.7× 211 0.7× 27 0.3× 29 1.2k
Sung Il Park 777 0.8× 255 0.4× 493 1.4× 338 1.1× 143 1.6× 49 1.4k
Hyogeun Shin 611 0.7× 304 0.5× 327 0.9× 252 0.8× 70 0.8× 39 923
Guihua Xiao 397 0.4× 210 0.3× 260 0.8× 257 0.8× 114 1.3× 58 1.0k
Victor Krauthamer 454 0.5× 158 0.2× 444 1.3× 328 1.0× 79 0.9× 39 1.1k
Jonathon Wells 1.1k 1.2× 437 0.7× 234 0.7× 112 0.4× 20 0.2× 21 1.3k

Countries citing papers authored by Angela Tooker

Since Specialization
Citations

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

Fields of papers citing papers by Angela Tooker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela Tooker. 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 Angela Tooker. The network helps show where Angela Tooker may publish in the future.

Co-authorship network of co-authors of Angela Tooker

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