Aimée A. Wong

976 total citations
22 papers, 709 citations indexed

About

Aimée A. Wong is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Aimée A. Wong has authored 22 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Aimée A. Wong's work include Neural dynamics and brain function (6 papers), Memory and Neural Mechanisms (5 papers) and Retinal Development and Disorders (5 papers). Aimée A. Wong is often cited by papers focused on Neural dynamics and brain function (6 papers), Memory and Neural Mechanisms (5 papers) and Retinal Development and Disorders (5 papers). Aimée A. Wong collaborates with scholars based in Canada, United Kingdom and Türkiye. Aimée A. Wong's co-authors include Richard E. Brown, Emre Fertan, Kurt R. Stover, Junhua Yang, Tamara B. Franklin, Alice E. Kane, Susan E. Howlett, Fuat Balcı, Ian C.G. Weaver and Robyn A. Grant and has published in prestigious journals such as Blood, Current Biology and Scientific Reports.

In The Last Decade

Aimée A. Wong

21 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aimée A. Wong Canada 14 247 236 224 192 132 22 709
Alejandro Múnera Colombia 14 184 0.7× 272 1.2× 161 0.7× 91 0.5× 119 0.9× 30 543
Marı́a Caballero-Bleda Spain 15 358 1.4× 401 1.7× 120 0.5× 137 0.7× 94 0.7× 23 707
Antje Jilg Germany 9 252 1.0× 236 1.0× 152 0.7× 200 1.0× 23 0.2× 9 917
Fany Panayi France 11 86 0.3× 290 1.2× 229 1.0× 78 0.4× 35 0.3× 16 533
Chenghui Song United States 13 241 1.0× 323 1.4× 186 0.8× 75 0.4× 56 0.4× 18 579
Yingyu Huang Switzerland 14 336 1.4× 156 0.7× 347 1.5× 38 0.2× 68 0.5× 55 874
J.‐M. Billard France 12 132 0.5× 359 1.5× 188 0.8× 76 0.4× 103 0.8× 13 580
Manuel Esguerra United States 15 137 0.6× 480 2.0× 411 1.8× 64 0.3× 44 0.3× 21 817
Murat Kürtüncü United States 11 244 1.0× 163 0.7× 138 0.6× 73 0.4× 14 0.1× 14 683
Katsuya Harada Japan 16 128 0.5× 325 1.4× 254 1.1× 92 0.5× 92 0.7× 33 857

Countries citing papers authored by Aimée A. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Aimée A. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aimée A. Wong. 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 Aimée A. Wong. The network helps show where Aimée A. Wong may publish in the future.

Co-authorship network of co-authors of Aimée A. Wong

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

All Works

20 of 20 papers shown
1.
Eagles, Jenna, Aimée A. Wong, Saumil Shah, et al.. (2024). Cell-Free DNA Whole Genome Sequencing for Non-Invasive MRD Detection in Multiple Myeloma. Blood. 144(Supplement 1). 3338–3338.
2.
Fertan, Emre, et al.. (2024). Intranasal insulin treatment ameliorates spatial memory, muscular strength, and frailty deficits in 5xFAD mice. Physiology & Behavior. 281. 114583–114583. 1 indexed citations
3.
Fertan, Emre, et al.. (2023). Early postnatal development of the MDGA2+/- mouse model of synaptic dysfunction. Behavioural Brain Research. 452. 114590–114590. 3 indexed citations
4.
Fertan, Emre, et al.. (2023). Noncanonical regulation of imprinted gene Igf2 by amyloid-beta 1–42 in Alzheimer’s disease. Scientific Reports. 13(1). 2043–2043. 9 indexed citations
5.
Brown, Richard E., et al.. (2022). Abnormal whisker movements in the 3xTg‐AD mouse model of Alzheimer's disease. Genes Brain & Behavior. 21(8). 2 indexed citations
6.
Fertan, Emre, et al.. (2020). The effect of background strain on the behavioral phenotypes of the MDGA2+/− mouse model of autism spectrum disorder. Genes Brain & Behavior. 20(3). e12696–e12696. 13 indexed citations
7.
Brown, Richard E., Natalie Connor‐Robson, Tracy D. Farr, et al.. (2019). Recommendations for measuring whisker movements and locomotion in mice with sensory, motor and cognitive deficits. Journal of Neuroscience Methods. 331. 108532–108532. 12 indexed citations
8.
Fertan, Emre, Donna Goguen, Aimée A. Wong, et al.. (2019). Cognitive Decline, Cerebral-Spleen Tryptophan Metabolism, Oxidative Stress, Cytokine Production, and Regulation of the Txnip Gene in a Triple Transgenic Mouse Model of Alzheimer Disease. American Journal Of Pathology. 189(7). 1435–1450. 28 indexed citations
9.
Yang, Junhua, et al.. (2019). Age-related changes in social behaviours in the 5xFAD mouse model of Alzheimer’s disease. Behavioural Brain Research. 362. 160–172. 38 indexed citations
10.
Fertan, Emre, et al.. (2019). Age and sex differences in motivation and spatial working memory in 3xTg-AD mice in the Hebb–Williams maze. Behavioural Brain Research. 370. 111937–111937. 19 indexed citations
11.
Fertan, Emre, Kurt R. Stover, Brendan Kelly, et al.. (2019). Effects of the Novel IDO Inhibitor DWG-1036 on the Behavior of Male and Female 3xTg-AD Mice. Frontiers in Pharmacology. 10. 1044–1044. 38 indexed citations
12.
Fertan, Emre, et al.. (2018). Sex differences in the timing behavior performance of 3xTg-AD and wild-type mice in the peak interval procedure. Behavioural Brain Research. 360. 235–243. 24 indexed citations
13.
Kane, Alice E., et al.. (2018). Sex Differences in Healthspan Predict Lifespan in the 3xTg-AD Mouse Model of Alzheimer’s Disease. Frontiers in Aging Neuroscience. 10. 172–172. 49 indexed citations
14.
Grant, Robyn A., Aimée A. Wong, Emre Fertan, & Richard E. Brown. (2018). Whisker exploration behaviours in the 5xFAD mouse are affected by sex and retinal degeneration. Genes Brain & Behavior. 19(3). e12532–e12532. 15 indexed citations
15.
Stover, Kurt R., et al.. (2016). Adaptive Processes in Thalamus and Cortex Revealed by Silencing of Primary Visual Cortex during Contrast Adaptation. Current Biology. 26(10). 1295–1300. 23 indexed citations
16.
Wong, Aimée A. & Richard E. Brown. (2013). Prevention of vision loss protects against age-related impairment in learning and memory performance in DBA/2J mice. Frontiers in Aging Neuroscience. 5. 52–52. 16 indexed citations
17.
Wong, Aimée A. & Richard E. Brown. (2012). A Neurobehavioral Analysis of the Prevention of Visual Impairment in the DBA/2J Mouse Model of Glaucoma. Investigative Ophthalmology & Visual Science. 53(9). 5956–5956. 32 indexed citations
18.
Brown, Richard E. & Aimée A. Wong. (2007). The influence of visual ability on learning and memory performance in 13 strains of mice. Learning & Memory. 14(3). 134–144. 135 indexed citations
19.
Wong, Aimée A. & Richard E. Brown. (2006). Age-related changes in visual acuity, learning and memory in C57BL/6J and DBA/2J mice. Neurobiology of Aging. 28(10). 1577–1593. 80 indexed citations
20.
Wong, Aimée A. & Richard E. Brown. (2005). Visual detection, pattern discrimination and visual acuity in 14 strains of mice. Genes Brain & Behavior. 5(5). 389–403. 145 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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