Shawn N. Whitehead

3.6k total citations
103 papers, 2.2k citations indexed

About

Shawn N. Whitehead is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Shawn N. Whitehead has authored 103 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Physiology, 42 papers in Neurology and 37 papers in Molecular Biology. Recurrent topics in Shawn N. Whitehead's work include Alzheimer's disease research and treatments (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (27 papers) and Neurological Disease Mechanisms and Treatments (21 papers). Shawn N. Whitehead is often cited by papers focused on Alzheimer's disease research and treatments (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (27 papers) and Neurological Disease Mechanisms and Treatments (21 papers). Shawn N. Whitehead collaborates with scholars based in Canada, United States and Australia. Shawn N. Whitehead's co-authors include Vladimir Hachinski, David F. Cechetto, Ken K.‐C. Yeung, Guanliang Cheng, Austyn D. Roseborough, Nina Weishaupt, Jacqueline Slinn, Sheng‐Tao Hou, Peter Sörös and Steffany A. L. Bennett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Shawn N. Whitehead

96 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawn N. Whitehead Canada 28 796 668 575 283 230 103 2.2k
Ryusuke Takechi Australia 26 559 0.7× 495 0.7× 693 1.2× 139 0.5× 256 1.1× 110 2.4k
Petroula Proitsi United Kingdom 35 1.3k 1.6× 434 0.6× 1.3k 2.3× 206 0.7× 206 0.9× 63 3.0k
Matthew Schrag United States 29 728 0.9× 493 0.7× 930 1.6× 272 1.0× 668 2.9× 77 3.2k
Salvatore Guarini Italy 33 839 1.1× 711 1.1× 614 1.1× 382 1.3× 218 0.9× 113 3.0k
Joanna Pera Poland 28 690 0.9× 466 0.7× 355 0.6× 263 0.9× 419 1.8× 100 2.7k
Laila Abdullah United States 34 1.1k 1.4× 439 0.7× 1.0k 1.8× 421 1.5× 346 1.5× 90 2.9k
Lance A. Johnson United States 26 744 0.9× 337 0.5× 831 1.4× 238 0.8× 213 0.9× 60 2.0k
İsmail H. Ulus Türkiye 30 738 0.9× 987 1.5× 647 1.1× 700 2.5× 171 0.7× 111 2.7k
Olivia Hurtado Spain 35 1.4k 1.7× 1.5k 2.3× 579 1.0× 648 2.3× 444 1.9× 53 3.8k
Anja Hviid Simonsen Denmark 28 749 0.9× 296 0.4× 1.0k 1.8× 419 1.5× 65 0.3× 104 2.4k

Countries citing papers authored by Shawn N. Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by Shawn N. Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn N. Whitehead. 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 Shawn N. Whitehead. The network helps show where Shawn N. Whitehead may publish in the future.

Co-authorship network of co-authors of Shawn N. Whitehead

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn N. Whitehead. A scholar is included among the top collaborators of Shawn N. Whitehead 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 Shawn N. Whitehead. Shawn N. Whitehead 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.
Wang, Wenxuan, et al.. (2025). Elevation of ganglioside degradation pathway drives GM2 and GM3 within amyloid plaques in a transgenic mouse model of Alzheimer's disease. Neurobiology of Disease. 205. 106798–106798. 3 indexed citations
2.
Avan, Abolfazl, et al.. (2025). An operational measurement of brain health: the ABCDS framework. The Lancet Neurology. 24(4). 291–292. 1 indexed citations
3.
Roseborough, Austyn D., Shawn N. Whitehead, Ellen E. Freeman, et al.. (2025). Inflammation and Cognitive Decline: A Population‐Based Cohort Study Among Aging Adults With Atrial Fibrillation. Journal of the American Heart Association. 14(21). e039636–e039636.
4.
Pasternak, Stephen, et al.. (2024). Co-registration of MALDI-MSI and histology demonstrates gangliosides co-localize with amyloid beta plaques in Alzheimer’s disease. Acta Neuropathologica. 147(1). 105–105. 8 indexed citations
5.
Jeyarajah, Mariyan J., et al.. (2024). Placental extracellular vesicles promote cardiomyocyte maturation and fetal heart development. Communications Biology. 7(1). 1254–1254. 4 indexed citations
6.
Sultana, Munira, Richard Camicioli, Roger A. Dixon, et al.. (2023). A Metabolomics Analysis of a Novel Phenotype of Older Adults at Higher Risk of Dementia. Journal of Alzheimer s Disease. 99(s2). S317–S325. 4 indexed citations
7.
Singh, Krishna K., Stephanie J. Frisbee, Vladimir Hachinski, et al.. (2023). Thromboxane-induced cerebral microvascular rarefaction predicts depressive symptom emergence in metabolic disease. Journal of Applied Physiology. 136(1). 122–140. 2 indexed citations
8.
Roseborough, Austyn D., Yuxin Zhu, Liang Zhao, et al.. (2023). Fibrinogen primes the microglial NLRP3 inflammasome and propagates pro-inflammatory signaling via extracellular vesicles: Implications for blood-brain barrier dysfunction. Neurobiology of Disease. 177. 106001–106001. 24 indexed citations
9.
Roseborough, Austyn D., et al.. (2023). Age‐ and sex‐dependent differences in cognitive decline in rat models of Alzheimer’s disease. Alzheimer s & Dementia. 19(S13). 2 indexed citations
10.
Dong, Yifei, Charlotte D’Mello, William W. Pinsky, et al.. (2021). Oxidized phosphatidylcholines found in multiple sclerosis lesions mediate neurodegeneration and are neutralized by microglia. Nature Neuroscience. 24(4). 489–503. 118 indexed citations
11.
Gibson, Andrew, Olivia Hough, Yüksel Ağca, et al.. (2021). Precocious White Matter Inflammation and Behavioural Inflexibility Precede Learning and Memory Impairment in the TgAPP21 Rat Model of Alzheimer Disease. Molecular Neurobiology. 58(10). 5014–5030. 3 indexed citations
12.
13.
Pinsky, William W., Austyn D. Roseborough, Wenxuan Wang, et al.. (2021). Regional Lipid Expression Abnormalities Identified Using MALDI IMS Correspond to MRI-Defined White Matter Hyperintensities within Post-mortem Human Brain Tissues. Analytical Chemistry. 93(4). 2652–2659. 9 indexed citations
14.
Qi, Qi, Austyn D. Roseborough, Brian L. Allman, et al.. (2020). TSPO PET detects acute neuroinflammation but not diffuse chronically activated MHCII microglia in the rat. EJNMMI Research. 10(1). 113–113. 15 indexed citations
15.
Weishaupt, Nina, et al.. (2017). Age-dependent and regional heterogeneity in the long-chain base of A-series gangliosides observed in the rat brain using MALDI Imaging. Scientific Reports. 7(1). 16135–16135. 26 indexed citations
16.
Xu, Hongzhi, Frank Bihari, Shawn N. Whitehead, et al.. (2016). In Vitro Validation of Intratumoral Modulation Therapy for Glioblastoma.. PubMed. 36(1). 71–80. 14 indexed citations
17.
18.
Whitehead, Shawn N., et al.. (2014). Age‐Dependent Effect of β‐Amyloid Toxicity on Basal Forebrain Cholinergic Neurons and Inflammation in the Rat Brain. Brain Pathology. 25(5). 531–542. 15 indexed citations
19.
Tran, Huyen, et al.. (2010). Prothrombin complex concentrates used alone in urgent reversal of warfarin anticoagulation. Internal Medicine Journal. 41(4). 337–343. 30 indexed citations
20.
Cortez, Miguel A., Shawn N. Whitehead, Ling‐Jun Huan, et al.. (2010). Disruption of ClC-2 expression is associated with progressive neurodegeneration in aging mice. Neuroscience. 167(1). 154–162. 19 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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