Fiona Y. Carroll

678 total citations
11 papers, 588 citations indexed

About

Fiona Y. Carroll is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Fiona Y. Carroll has authored 11 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Fiona Y. Carroll's work include Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (4 papers) and Photochromic and Fluorescence Chemistry (2 papers). Fiona Y. Carroll is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (4 papers) and Photochromic and Fluorescence Chemistry (2 papers). Fiona Y. Carroll collaborates with scholars based in Australia, France and Italy. Fiona Y. Carroll's co-authors include Philip M. Beart, Jean‐Philippe Pin, Laurent Prézeau, Ivo Vranesic, Micheline Heinrich, Natacha Stoehr, F. Gasparini, Philipp Floersheim, Peter J. Flor and Rainer Kühn and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Pharmacology and Neuropharmacology.

In The Last Decade

Fiona Y. Carroll

11 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fiona Y. Carroll Australia 8 484 413 55 52 44 11 588
Teddy Grand France 16 434 0.9× 546 1.3× 63 1.1× 52 1.0× 71 1.6× 16 820
Christine Jachec United States 8 487 1.0× 403 1.0× 24 0.4× 36 0.7× 63 1.4× 9 555
Marie‐Claude Burgevin France 14 492 1.0× 464 1.1× 24 0.4× 105 2.0× 55 1.3× 24 750
И. Н. Шаронова Russia 15 404 0.8× 419 1.0× 74 1.3× 77 1.5× 117 2.7× 38 759
Lorrie P. Daggett United States 20 917 1.9× 694 1.7× 42 0.8× 57 1.1× 174 4.0× 25 1.1k
Analisa D. Thompson United States 12 619 1.3× 479 1.2× 16 0.3× 62 1.2× 62 1.4× 17 800
T Leonhardt Switzerland 9 529 1.1× 299 0.7× 26 0.5× 75 1.4× 66 1.5× 12 598
Anne‐Sophie Bessis France 11 692 1.4× 663 1.6× 129 2.3× 35 0.7× 45 1.0× 14 848
B. Ni United States 12 545 1.1× 430 1.0× 44 0.8× 116 2.2× 116 2.6× 17 832
Hervé Ansanay France 15 400 0.8× 520 1.3× 21 0.4× 47 0.9× 42 1.0× 17 760

Countries citing papers authored by Fiona Y. Carroll

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Y. Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona Y. Carroll. 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 Fiona Y. Carroll. The network helps show where Fiona Y. Carroll may publish in the future.

Co-authorship network of co-authors of Fiona Y. Carroll

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Y. Carroll. A scholar is included among the top collaborators of Fiona Y. Carroll 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 Fiona Y. Carroll. Fiona Y. Carroll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Liang, Jian‐Hui, Feng Chen, Elena Krstew, et al.. (2006). The GABAB receptor allosteric modulator CGP7930, like baclofen, reduces operant self-administration of ethanol in alcohol-preferring rats. Neuropharmacology. 50(5). 632–639. 111 indexed citations
3.
Carroll, Fiona Y., et al.. (2005). Establishment of primary cultures of rat olfactory bulb under serum-free conditions for studies of cellular injury. Cell and Tissue Research. 323(2). 343–349. 6 indexed citations
4.
Carroll, Fiona Y., Andreas Stolle, Philip M. Beart, et al.. (2001). BAY36-7620: A Potent Non-Competitive mGlu1 Receptor Antagonist with Inverse Agonist Activity.. Molecular Pharmacology. 59(5). 965–973. 12 indexed citations
5.
Carroll, Fiona Y., Andreas Stolle, Philip M. Beart, et al.. (2001). BAY36-7620: A Potent Non-Competitive mGlu1 Receptor Antagonist with Inverse Agonist Activity.. Molecular Pharmacology. 59(5). 965–973. 138 indexed citations
8.
Carroll, Fiona Y., et al.. (1998). Kainate-induced apoptosis correlates withc-Jun activation in cultured cerebellar granule cells. Journal of Neuroscience Research. 52(1). 69–82. 51 indexed citations
9.
Carroll, Fiona Y., David I. Finkelstein, Malcolm Horne, et al.. (1998). Regional distribution of low affinity kainate receptors in brain of Macaca fascicularis determined by autoradiography using [3H](2S,4R)-4-methylglutamate. Neuroscience Letters. 255(2). 71–74. 24 indexed citations
10.
Carroll, Fiona Y., et al.. (1998). Kainate‐induced apoptosis correlates with cJun activation in cultured cerebellar granule cells. Journal of Neuroscience Research. 52(1). 69–82. 3 indexed citations
11.
Carroll, Fiona Y., et al.. (1996). NMDA-mediated activation of the NO/cGMP pathway: Caracteristics and regulation in cultured neocortical neurones. Journal of Neuroscience Research. 43(5). 623–631. 10 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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