Olivia J. Gannon

899 total citations
17 papers, 586 citations indexed

About

Olivia J. Gannon is a scholar working on Neurology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Olivia J. Gannon has authored 17 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Physiology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Olivia J. Gannon's work include Menopause: Health Impacts and Treatments (6 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Alzheimer's disease research and treatments (3 papers). Olivia J. Gannon is often cited by papers focused on Menopause: Health Impacts and Treatments (6 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Alzheimer's disease research and treatments (3 papers). Olivia J. Gannon collaborates with scholars based in United States. Olivia J. Gannon's co-authors include Kristen L. Zuloaga, Lisa S. Robison, Abigail E. Salinero, Charly Abi‐Ghanem, Dale D. Tang, Ruping Wang, Rachel A. Cleary, Richard D. Kelly, Jia Li and Edward Seto and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and The FASEB Journal.

In The Last Decade

Olivia J. Gannon

17 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivia J. Gannon United States 10 205 152 148 67 61 17 586
Aida Maddahi Sweden 16 127 0.6× 195 1.3× 255 1.7× 30 0.4× 113 1.9× 24 756
D. Song United States 15 132 0.6× 193 1.3× 108 0.7× 33 0.5× 14 0.2× 36 581
Kathryn Dunn United States 11 172 0.8× 162 1.1× 140 0.9× 86 1.3× 20 0.3× 17 703
Chunxiao Yang China 17 167 0.8× 387 2.5× 83 0.6× 25 0.4× 70 1.1× 72 893
Abigail E. Salinero United States 9 250 1.2× 98 0.6× 191 1.3× 58 0.9× 25 0.4× 17 562
Lin‐Hui Wang China 15 78 0.4× 192 1.3× 112 0.8× 28 0.4× 16 0.3× 30 721
Peter Ferrazzano United States 16 88 0.4× 183 1.2× 246 1.7× 24 0.4× 60 1.0× 37 747
Carmen M. Labandeira Spain 14 75 0.4× 135 0.9× 94 0.6× 45 0.7× 22 0.4× 22 591
Jiunn-Tay Lee Taiwan 9 188 0.9× 259 1.7× 105 0.7× 94 1.4× 40 0.7× 11 596
Giada Mascio Italy 14 242 1.2× 283 1.9× 175 1.2× 25 0.4× 99 1.6× 28 828

Countries citing papers authored by Olivia J. Gannon

Since Specialization
Citations

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

Fields of papers citing papers by Olivia J. Gannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivia J. Gannon. 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 Olivia J. Gannon. The network helps show where Olivia J. Gannon may publish in the future.

Co-authorship network of co-authors of Olivia J. Gannon

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

All Works

17 of 17 papers shown
1.
Salinero, Abigail E., Rachel M. Smith, Richard D. Kelly, et al.. (2024). Treatment with brain specific estrogen prodrug ameliorates cognitive effects of surgical menopause in mice. Hormones and Behavior. 164. 105594–105594. 6 indexed citations
2.
Salinero, Abigail E., Richard D. Kelly, Olivia J. Gannon, et al.. (2024). Effects of high fat diet on metabolic health vary by age of menopause onset. International Journal of Obesity. 48(12). 1839–1843. 1 indexed citations
3.
Robison, Lisa S., Olivia J. Gannon, Abigail E. Salinero, et al.. (2023). Sex differences in metabolic phenotype and hypothalamic inflammation in the 3xTg-AD mouse model of Alzheimer’s disease. Biology of Sex Differences. 14(1). 51–51. 8 indexed citations
4.
Gannon, Olivia J., Charly Abi‐Ghanem, Abigail E. Salinero, et al.. (2023). Menopause causes metabolic and cognitive impairments in a chronic cerebral hypoperfusion model of vascular contributions to cognitive impairment and dementia. Biology of Sex Differences. 14(1). 34–34. 20 indexed citations
5.
Gannon, Olivia J., et al.. (2023). Angiotensin II‐mediated hippocampal hypoperfusion and vascular dysfunction contribute to vascular cognitive impairment in aged hypertensive rats. Alzheimer s & Dementia. 20(2). 890–903. 2 indexed citations
6.
Abi‐Ghanem, Charly, Abigail E. Salinero, Richard D. Kelly, et al.. (2023). Sex differences in the effects of high fat diet on underlying neuropathology in a mouse model of VCID. Biology of Sex Differences. 14(1). 31–31. 7 indexed citations
7.
Gannon, Olivia J., Lisa S. Robison, Abigail E. Salinero, et al.. (2022). High-fat diet exacerbates cognitive decline in mouse models of Alzheimer's disease and mixed dementia in a sex-dependent manner. Journal of Neuroinflammation. 19(1). 110–110. 78 indexed citations
8.
Gannon, Olivia J., Charly Abi‐Ghanem, Abigail E. Salinero, et al.. (2022). Menopause Diminishes Female Protection against Vascular Contributions to Cognitive Impairment and Dementia. The FASEB Journal. 36(S1). 1 indexed citations
9.
Abi‐Ghanem, Charly, Abigail E. Salinero, Olivia J. Gannon, et al.. (2021). The impacts of menopause on a mouse model of co‐morbid metabolic syndrome and Alzheimer’s disease. Alzheimer s & Dementia. 17(S3). 1 indexed citations
10.
Robison, Lisa S., Olivia J. Gannon, Abigail E. Salinero, et al.. (2020). Role of sex and high-fat diet in metabolic and hypothalamic disturbances in the 3xTg-AD mouse model of Alzheimer’s disease. Journal of Neuroinflammation. 17(1). 285–285. 55 indexed citations
11.
Salinero, Abigail E., et al.. (2020). Sex‐specific effects of high‐fat diet on cognitive impairment in a mouse model of VCID. The FASEB Journal. 34(11). 15108–15122. 28 indexed citations
12.
Robison, Lisa S., Brian Anderson, Abigail E. Salinero, et al.. (2019). High-Fat Diet-Induced Obesity Causes Sex-Specific Deficits in Adult Hippocampal Neurogenesis in Mice. eNeuro. 7(1). ENEURO.0391–19.2019. 58 indexed citations
13.
Robison, Lisa S., Olivia J. Gannon, Abigail E. Salinero, & Kristen L. Zuloaga. (2018). Contributions of sex to cerebrovascular function and pathology. Brain Research. 1710. 43–60. 85 indexed citations
14.
Gannon, Olivia J., et al.. (2018). Sex differences in risk factors for vascular contributions to cognitive impairment & dementia. Neurochemistry International. 127. 38–55. 100 indexed citations
15.
Li, Jia, Ruping Wang, Olivia J. Gannon, et al.. (2016). Polo-like Kinase 1 Regulates Vimentin Phosphorylation at Ser-56 and Contraction in Smooth Muscle. Journal of Biological Chemistry. 291(45). 23693–23703. 39 indexed citations
16.
Wang, Tao, Ruping Wang, Rachel A. Cleary, Olivia J. Gannon, & Dale D. Tang. (2015). Recruitment of β-Catenin to N-Cadherin Is Necessary for Smooth Muscle Contraction. Journal of Biological Chemistry. 290(14). 8913–8924. 37 indexed citations
17.
Li, Jia, Shu Chen, Rachel A. Cleary, et al.. (2014). Histone deacetylase 8 regulates cortactin deacetylation and contraction in smooth muscle tissues. American Journal of Physiology-Cell Physiology. 307(3). C288–C295. 60 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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