Bridget N. Queenan

25 total papers · 587 total citations
20 papers, 458 citations indexed

About

Bridget N. Queenan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Bridget N. Queenan has authored 20 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Bridget N. Queenan's work include Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (5 papers) and Analytical Chemistry and Sensors (4 papers). Bridget N. Queenan is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neural dynamics and brain function (5 papers) and Analytical Chemistry and Sensors (4 papers). Bridget N. Queenan collaborates with scholars based in United States, Canada and South Korea. Bridget N. Queenan's co-authors include Daniel T.S. Pak, Kea Joo Lee, Guillermo C. Bazan, Bing Wang, Stefano Vicini, Han L. Tan, Richard L. Huganir, Shu Wang, K. Peter R. Nilsson and Sumita Pennathur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Bridget N. Queenan

20 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Bridget N. Queenan 225 171 119 99 44 20 458
Ondřej Novák 274 1.2× 181 1.1× 174 1.5× 23 0.2× 56 1.3× 17 527
S. Miller 121 0.5× 169 1.0× 35 0.3× 99 1.0× 84 1.9× 9 504
Mingjing Liu 103 0.5× 141 0.8× 60 0.5× 79 0.8× 24 0.5× 28 436
Taekwan Lee 100 0.4× 113 0.7× 72 0.6× 121 1.2× 146 3.3× 19 549
Mark Pottek 247 1.1× 330 1.9× 42 0.4× 119 1.2× 52 1.2× 14 545
Ilya Kolb 327 1.5× 196 1.1× 187 1.6× 18 0.2× 58 1.3× 24 545
Tatsuya Hayama 349 1.6× 115 0.7× 147 1.2× 96 1.0× 22 0.5× 18 468
Rajtarun Madangopal 309 1.4× 149 0.9× 160 1.3× 49 0.5× 59 1.3× 23 492
Stephan Junek 257 1.1× 169 1.0× 83 0.7× 113 1.1× 89 2.0× 16 520
Veena Venkatachalam 271 1.2× 230 1.3× 94 0.8× 32 0.3× 55 1.3× 13 449

Countries citing papers authored by Bridget N. Queenan

Since Specialization
Citations

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

Fields of papers citing papers by Bridget N. Queenan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bridget N. Queenan. 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 Bridget N. Queenan. The network helps show where Bridget N. Queenan may publish in the future.

Co-authorship network of co-authors of Bridget N. Queenan

This figure shows the co-authorship network connecting the top 25 collaborators of Bridget N. Queenan. A scholar is included among the top collaborators of Bridget N. Queenan 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 Bridget N. Queenan. Bridget N. Queenan 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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