Fiona Brabazon

479 total citations
10 papers, 359 citations indexed

About

Fiona Brabazon is a scholar working on Pathology and Forensic Medicine, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fiona Brabazon has authored 10 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fiona Brabazon's work include Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Spinal Cord Injury Research (4 papers) and Medical Imaging Techniques and Applications (2 papers). Fiona Brabazon is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Spinal Cord Injury Research (4 papers) and Medical Imaging Techniques and Applications (2 papers). Fiona Brabazon collaborates with scholars based in United States and Canada. Fiona Brabazon's co-authors include Kimberly R. Byrnes, Colin M. Wilson, Michael Shaughness, Reed Selwyn, Terrence R. Oakes, Shalini Jaiswal, Sara Bermudez, William H. Frey, John R. Reed and Guzal Khayrullina and has published in prestigious journals such as PLoS ONE, Journal of Cerebral Blood Flow & Metabolism and Journal of Neurotrauma.

In The Last Decade

Fiona Brabazon

10 papers receiving 352 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 Brabazon United States 8 118 91 87 73 52 10 359
Foad Taghdiri Canada 11 127 1.1× 96 1.1× 127 1.5× 86 1.2× 87 1.7× 32 453
Sébastien Fau France 9 93 0.8× 56 0.6× 83 1.0× 86 1.2× 29 0.6× 15 448
Guixian Ma China 13 165 1.4× 64 0.7× 59 0.7× 57 0.8× 38 0.7× 28 370
Wen‐Tung Wang United States 12 70 0.6× 66 0.7× 84 1.0× 75 1.0× 76 1.5× 26 486
Sara Bermudez United States 8 69 0.6× 38 0.4× 100 1.1× 115 1.6× 60 1.2× 12 416
Keita Kawabata Japan 11 205 1.7× 57 0.6× 110 1.3× 95 1.3× 63 1.2× 21 474
G.J. Zipfel United States 5 142 1.2× 79 0.9× 55 0.6× 83 1.1× 70 1.3× 16 332
Daniel J. Beard Australia 13 227 1.9× 144 1.6× 97 1.1× 110 1.5× 51 1.0× 32 539
Jordan L. Harrison United States 12 268 2.3× 141 1.5× 146 1.7× 184 2.5× 64 1.2× 18 601
Ike de la Peña United States 8 304 2.6× 148 1.6× 265 3.0× 124 1.7× 56 1.1× 15 675

Countries citing papers authored by Fiona Brabazon

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Brabazon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Brabazon

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Brabazon. A scholar is included among the top collaborators of Fiona Brabazon 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 Brabazon. Fiona Brabazon 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.
Bebo, Bruce F., Mark Allegretta, Douglas Landsman, et al.. (2022). Pathways to cures for multiple sclerosis: A research roadmap. Multiple Sclerosis Journal. 28(3). 331–345. 16 indexed citations
2.
Jaiswal, Shalini, et al.. (2021). Spinal cord injury chronically depresses glucose uptake in the rodent model. Neuroscience Letters. 771. 136416–136416. 4 indexed citations
3.
Shaughness, Michael, et al.. (2020). Role of Insulin in Neurotrauma and Neurodegeneration: A Review. Frontiers in Neuroscience. 14. 547175–547175. 56 indexed citations
4.
Chariker, Julia H., Sujata Saraswat Ohri, Cynthia Gomes, et al.. (2019). RNA-seq data of soleus muscle tissue after spinal cord injury under conditions of inactivity and applied exercise. Data in Brief. 28. 105056–105056. 2 indexed citations
5.
Chariker, Julia H., Sujata Saraswat Ohri, Cynthia Gomes, et al.. (2019). Activity/exercise-induced changes in the liver transcriptome after chronic spinal cord injury. Scientific Data. 6(1). 88–88. 9 indexed citations
6.
Chariker, Julia H., Cynthia Gomes, Fiona Brabazon, et al.. (2019). Transcriptome of dorsal root ganglia caudal to a spinal cord injury with modulated behavioral activity. Scientific Data. 6(1). 83–83. 7 indexed citations
7.
Brabazon, Fiona, Sara Bermudez, Michael Shaughness, Guzal Khayrullina, & Kimberly R. Byrnes. (2018). The effects of insulin on the inflammatory activity of BV2 microglia. PLoS ONE. 13(8). e0201878–e0201878. 51 indexed citations
8.
Brabazon, Fiona, Colin M. Wilson, Shalini Jaiswal, et al.. (2017). Intranasal insulin treatment of an experimental model of moderate traumatic brain injury. Journal of Cerebral Blood Flow & Metabolism. 37(9). 3203–3218. 70 indexed citations
9.
Brabazon, Fiona, Colin M. Wilson, D. K. Shukla, et al.. (2016). [ 18 F]FDG-PET Combined with MRI Elucidates the Pathophysiology of Traumatic Brain Injury in Rats. Journal of Neurotrauma. 34(5). 1074–1085. 22 indexed citations
10.
Byrnes, Kimberly R., et al.. (2014). FDG-PET imaging in mild traumatic brain injury: a critical review. PubMed. 5. 13–13. 122 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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