Brian H. Trieu

14 total papers · 481 total citations
10 papers, 340 citations indexed

About

Brian H. Trieu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Brian H. Trieu has authored 10 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Neurology. Recurrent topics in Brian H. Trieu's work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Brian H. Trieu is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Brian H. Trieu collaborates with scholars based in United States, Bulgaria and Italy. Brian H. Trieu's co-authors include Gary Lynch, Christine M. Gall, Yousheng Jia, Weisheng Wang, Linda Palmer, Patrick E. Rothwell, Cassandra L. Retzlaff, Julie C. Lauterborn, Conor D. Cox and Marc T. Pisansky and has published in prestigious journals such as Science, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

Brian H. Trieu

10 papers receiving 339 citations

Author Peers

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

Author Last Decade Papers Cites
Brian H. Trieu 215 113 103 57 52 10 340
Vivek Jeevakumar 220 1.0× 102 0.9× 113 1.1× 56 1.0× 31 0.6× 10 373
Gustavo Liy-Salmerón 208 1.0× 126 1.1× 110 1.1× 53 0.9× 44 0.8× 9 363
Yixin Xiao 144 0.7× 70 0.6× 150 1.5× 31 0.5× 54 1.0× 12 350
Jens Stepan 135 0.6× 91 0.8× 105 1.0× 48 0.8× 78 1.5× 14 385
Chiung-Chun Huang 240 1.1× 58 0.5× 164 1.6× 40 0.7× 49 0.9× 8 381
Yi Zhu 201 0.9× 117 1.0× 92 0.9× 38 0.7× 50 1.0× 9 368
Salvatore Magara 140 0.7× 59 0.5× 113 1.1× 41 0.7× 29 0.6× 7 366
Adelaida Sánchez Riolobos 152 0.7× 87 0.8× 94 0.9× 77 1.4× 24 0.5× 21 363
Hannah G. Sexton 192 0.9× 82 0.7× 127 1.2× 50 0.9× 50 1.0× 18 382
Aarron Phensy 145 0.7× 85 0.8× 155 1.5× 98 1.7× 34 0.7× 12 354

Countries citing papers authored by Brian H. Trieu

Since Specialization
Citations

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

Fields of papers citing papers by Brian H. Trieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian H. Trieu. 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 Brian H. Trieu. The network helps show where Brian H. Trieu may publish in the future.

Co-authorship network of co-authors of Brian H. Trieu

This figure shows the co-authorship network connecting the top 25 collaborators of Brian H. Trieu. A scholar is included among the top collaborators of Brian H. Trieu 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 Brian H. Trieu. Brian H. Trieu 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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