Geoffrey Barrett

9 total papers · 673 total citations
6 papers, 443 citations indexed

About

Geoffrey Barrett is a scholar working on Cellular and Molecular Neuroscience, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Geoffrey Barrett has authored 6 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Physiology and 3 papers in Cognitive Neuroscience. Recurrent topics in Geoffrey Barrett's work include Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (3 papers). Geoffrey Barrett is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (3 papers). Geoffrey Barrett collaborates with scholars based in United States, United Kingdom and Switzerland. Geoffrey Barrett's co-authors include S. Abid Hussaini, Karen Duff, G Rodriguez, Mathieu Herman, Helen Y. Figueroa, Sheina Emrani, Hongjun Fu, Li Liu, Archana Ashok and Herman Moreno and has published in prestigious journals such as The Lancet, Nature Communications and Neuron.

In The Last Decade

Geoffrey Barrett

6 papers receiving 428 citations

Author Peers

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

Author Last Decade Papers Cites
Geoffrey Barrett 230 165 125 95 91 6 443
C. Bruehl 103 0.4× 171 1.0× 87 0.7× 124 1.3× 75 0.8× 10 463
Hannah Brautigam 239 1.0× 120 0.7× 37 0.3× 67 0.7× 119 1.3× 8 400
Jean‐Ha Baek 123 0.5× 133 0.8× 70 0.6× 135 1.4× 89 1.0× 11 466
Renee C. Gaspar 199 0.9× 155 0.9× 30 0.2× 131 1.4× 80 0.9× 8 463
H.-Y. Wang 159 0.7× 186 1.1× 51 0.4× 108 1.1× 157 1.7× 6 446
Neta Gazit 188 0.8× 217 1.3× 79 0.6× 147 1.5× 43 0.5× 6 411
Naomi Klickstein 318 1.4× 143 0.9× 91 0.7× 120 1.3× 66 0.7× 5 452
Kaizheng Duan 197 0.9× 149 0.9× 60 0.5× 152 1.6× 28 0.3× 11 421
Roland Guntern 208 0.9× 124 0.8× 70 0.6× 121 1.3× 55 0.6× 11 388
Michael Ort 283 1.2× 98 0.6× 89 0.7× 126 1.3× 124 1.4× 6 476

Countries citing papers authored by Geoffrey Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Barrett

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