Minerva Yue

815 total citations
10 papers, 668 citations indexed

About

Minerva Yue is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Minerva Yue has authored 10 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Minerva Yue's work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (3 papers) and Receptor Mechanisms and Signaling (3 papers). Minerva Yue is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (3 papers) and Receptor Mechanisms and Signaling (3 papers). Minerva Yue collaborates with scholars based in United States. Minerva Yue's co-authors include Neil L. Harrison, Fan Jia, Peter A. Goldstein, Leonardo Pignataro, Claude M. Schofield, Gregg E. Homanics, Dev Chandra, Angelo Keramidas, Hui Zhang and Dalibor Sameš and has published in prestigious journals such as Science, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Minerva Yue

10 papers receiving 662 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minerva Yue United States 8 437 299 175 90 66 10 668
Michael Doengi Germany 12 338 0.8× 270 0.9× 101 0.6× 77 0.9× 47 0.7× 15 610
Jörg Breustedt Germany 16 533 1.2× 322 1.1× 208 1.2× 134 1.5× 51 0.8× 24 682
Philippe Coulon Germany 17 452 1.0× 361 1.2× 233 1.3× 27 0.3× 53 0.8× 29 800
Jean‐Gaël Barbara France 12 612 1.4× 450 1.5× 214 1.2× 66 0.7× 47 0.7× 41 846
Carlos Gonzalez‐Islas United States 13 498 1.1× 260 0.9× 236 1.3× 73 0.8× 36 0.5× 19 609
James Dachtler United Kingdom 15 305 0.7× 275 0.9× 244 1.4× 34 0.4× 156 2.4× 19 702
Linda Palmer United States 10 446 1.0× 202 0.7× 238 1.4× 36 0.4× 103 1.6× 21 693
Manuel Esguerra United States 15 480 1.1× 411 1.4× 137 0.8× 19 0.2× 64 1.0× 21 817
Arnaud L. Lalive Switzerland 13 579 1.3× 248 0.8× 328 1.9× 81 0.9× 58 0.9× 16 855
Michelle Mynlieff United States 16 560 1.3× 614 2.1× 102 0.6× 40 0.4× 152 2.3× 28 888

Countries citing papers authored by Minerva Yue

Since Specialization
Citations

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

Fields of papers citing papers by Minerva Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minerva Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Minerva Yue. A scholar is included among the top collaborators of Minerva Yue 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 Minerva Yue. Minerva Yue 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
1.
Gubernator, Niko G., Hui Zhang, Roland G. W. Staal, et al.. (2009). Fluorescent False Neurotransmitters Visualize Dopamine Release from Individual Presynaptic Terminals. Science. 324(5933). 1441–1444. 174 indexed citations
2.
Zhang, Hui, Niko G. Gubernator, Minerva Yue, et al.. (2009). Dopamine Release at Individual Presynaptic Terminals Visualized with FFNs. Journal of Visualized Experiments. 8 indexed citations
3.
Zhang, Hui, Niko G. Gubernator, Minerva Yue, et al.. (2009). Dopamine Release at Individual Presynaptic Terminals Visualized with FFNs. Journal of Visualized Experiments. 3 indexed citations
4.
Jia, Fan, Minerva Yue, Dev Chandra, et al.. (2008). Taurine Is a Potent Activator of Extrasynaptic GABAAReceptors in the Thalamus. Journal of Neuroscience. 28(1). 106–115. 140 indexed citations
5.
Trudell, James R., Minerva Yue, Edward Bertaccini, Andrew Jenkins, & Neil L. Harrison. (2008). Molecular Modeling and Mutagenesis Reveals a Tetradentate Binding Site for Zn2+in GABAAαβ Receptors and Provides a Structural Basis for the Modulating Effect of the γ Subunit. Journal of Chemical Information and Modeling. 48(2). 344–349. 14 indexed citations
6.
Bankston, John R., Minerva Yue, Wendy K. Chung, et al.. (2007). A Novel and Lethal De Novo LQT-3 Mutation in a Newborn with Distinct Molecular Pharmacology and Therapeutic Response. PLoS ONE. 2(12). e1258–e1258. 41 indexed citations
7.
Jia, Fan, Minerva Yue, Dev Chandra, et al.. (2007). Isoflurane Is a Potent Modulator of Extrasynaptic GABAA Receptors in the Thalamus. Journal of Pharmacology and Experimental Therapeutics. 324(3). 1127–1135. 50 indexed citations
8.
Kherlopian, Armen R., et al.. (2006). Electrooculogram based system for computer control using a multiple feature classification model. PubMed. 11. 1295–1298. 24 indexed citations
9.
Kherlopian, Armen R., et al.. (2006). Electrooculogram based system for computer control using a multiple feature classification model. Conference proceedings. 4 indexed citations
10.
Jia, Fan, Leonardo Pignataro, Claude M. Schofield, et al.. (2005). An Extrasynaptic GABAA Receptor Mediates Tonic Inhibition in Thalamic VB Neurons. Journal of Neurophysiology. 94(6). 4491–4501. 210 indexed citations

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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