Donna M. Wilcock

14.6k total citations · 3 hit papers
158 papers, 9.2k citations indexed

About

Donna M. Wilcock is a scholar working on Physiology, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Donna M. Wilcock has authored 158 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Physiology, 81 papers in Neurology and 37 papers in Psychiatry and Mental health. Recurrent topics in Donna M. Wilcock's work include Alzheimer's disease research and treatments (91 papers), Neuroinflammation and Neurodegeneration Mechanisms (58 papers) and Dementia and Cognitive Impairment Research (34 papers). Donna M. Wilcock is often cited by papers focused on Alzheimer's disease research and treatments (91 papers), Neuroinflammation and Neurodegeneration Mechanisms (58 papers) and Dementia and Cognitive Impairment Research (34 papers). Donna M. Wilcock collaborates with scholars based in United States, United Kingdom and Canada. Donna M. Wilcock's co-authors include Marcia N. Gordon, Dave Morgan, Carol A. Colton, Tiffany L. Sudduth, Giovanni DiCarlo, Kenneth E. Ugen, Erica M. Weekman, Michael P. Vitek, David M. Diamond and Paul Jantzen and has published in prestigious journals such as Nature, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Donna M. Wilcock

144 papers receiving 9.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aβ peptide vaccination prevents memory loss in an animal model of Alzheimer's disease

2000 1.2k citations Dave Morgan, David M. Diamond et al. profile →
Vascular contributions to cognitive impairment and dementia including Alzheimer's disease

2014 451 citations Donna M. Wilcock et al. Alzheimer s & Dementia profile →
Cerebrovascular Smooth Muscle Cells as the Drivers of Intramural Periarterial Drainage of the Brain

2019 261 citations Donna M. Wilcock et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donna M. Wilcock United States	50	5.5k	3.9k	2.4k	1.4k	1.1k	158	9.2k
Maj-Linda B. Selenica United States	8	6.1k 1.1×	2.6k 0.7×	3.1k 1.3×	2.2k 1.6×	1.1k 1.1×	9	9.1k
Daniel C. Lee United States	24	6.6k 1.2×	2.9k 0.8×	3.7k 1.5×	2.4k 1.7×	1.3k 1.2×	47	10.3k
Alberto Serrano‐Pozo United States	35	5.4k 1.0×	2.7k 0.7×	2.5k 1.1×	1.5k 1.1×	1.0k 0.9×	73	8.2k
Bruce T. Lamb United States	53	5.6k 1.0×	4.6k 1.2×	3.6k 1.5×	1.6k 1.2×	1.1k 1.0×	130	11.4k
Milene L. Brownlow United States	13	6.2k 1.1×	2.4k 0.6×	3.0k 1.2×	2.2k 1.6×	1.1k 1.1×	19	9.0k
Delphine Boche United Kingdom	43	3.5k 0.6×	3.5k 0.9×	1.9k 0.8×	900 0.7×	717 0.7×	98	7.0k
Jeffy P. Jimenez United States	3	5.8k 1.1×	2.2k 0.6×	2.8k 1.2×	2.1k 1.5×	1.1k 1.0×	5	8.4k
Takahisa Kanekiyo United States	49	4.9k 0.9×	2.3k 0.6×	3.4k 1.4×	1.4k 1.0×	834 0.8×	107	9.2k
Ronald B. DeMattos United States	39	6.8k 1.2×	2.4k 0.6×	3.1k 1.3×	1.3k 1.0×	1.7k 1.6×	71	9.4k
Paul M. Mathews United States	53	7.5k 1.4×	2.4k 0.6×	4.5k 1.9×	2.0k 1.5×	1.5k 1.4×	106	11.3k

Countries citing papers authored by Donna M. Wilcock

Since Specialization

Citations

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

Fields of papers citing papers by Donna M. Wilcock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna M. Wilcock. 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 Donna M. Wilcock. The network helps show where Donna M. Wilcock may publish in the future.

Co-authorship network of co-authors of Donna M. Wilcock

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

All Works

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20 of 20 papers shown

Borson, Soo, Rhoda Au, Anna Chodos, et al.. (2025). Opportunities to encourage adoption of a biomarker‐enabled care pathway for Alzheimer's in primary care. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 17(1). e70095–e70095. 2 indexed citations

Foley, Kate E. & Donna M. Wilcock. (2024). Soluble Biomarkers of Cerebrovascular Pathologies. Stroke. 55(4). 801–811. 10 indexed citations

Edwards, Natalie C., Patrick J. Lao, Mohamad J. Alshikho, et al.. (2024). Independent and interactive contributions of cerebrovascular disease, neuroinflammation, and tau pathophysiology to Alzheimer’s disease‐related diagnostic conversion in adults with Down syndrome. Alzheimer s & Dementia. 20(S2).

Foley, Kate E., et al.. (2024). Acute Communication Between Microglia and Nonparenchymal Immune Cells in the Anti-Aβ Antibody-Injected Cortex. Journal of Neuroscience. 45(5). e1456242024–e1456242024. 1 indexed citations

Lao, Patrick J., Natalie C. Edwards, Batool Rizvi, et al.. (2023). Pseudo‐longitudinal trajectories of cerebrovascular disease biomarkers in adults with Down syndrome across the lifespan. Alzheimer s & Dementia. 19(S10).

Davidson, W. Sean, Yi He, Madelyn Berger, et al.. (2023). Human cerebrospinal fluid contains diverse lipoprotein subspecies enriched in proteins implicated in central nervous system health. Science Advances. 9(35). eadi5571–eadi5571. 12 indexed citations

Abner, Erin L., Riham El Khouli, Brian T. Gold, et al.. (2023). Amyloid-PET and White Matter Hyperintensities Have Independent Effects on Baseline Cognitive Function and Synergistic Effects on Longitudinal Executive Function. Brain Sciences. 13(2). 218–218. 3 indexed citations

Khouli, Riham H. El, Erin L. Abner, Brian T. Gold, et al.. (2023). The combined effect of β ‐amyloid and white matter hyperintensities on present and future executive function performance in cognitively normal older adults. Alzheimer s & Dementia. 19(S3). 1 indexed citations

Bauer, Christopher E., Valentinos Zachariou, Tiffany L. Sudduth, et al.. (2023). Plasma TDP‐43 levels are associated with neuroimaging measures of brain structure in limbic regions. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(2). e12437–e12437. 7 indexed citations

10.

Foley, Kate E., Tiffany L. Sudduth, Barbara J. Martin, et al.. (2023). Alzheimer's disease and inflammatory biomarkers positively correlate in plasma in the UK‐ADRC cohort. Alzheimer s & Dementia. 20(2). 1374–1386. 27 indexed citations

11.

Niedowicz, Dana M., Jenna L. Gollihue, Erica M. Weekman, et al.. (2023). Using digital pathology to analyze the murine cerebrovasculature. Journal of Cerebral Blood Flow & Metabolism. 44(4). 595–610. 1 indexed citations

12.

Foley, Kate E. & Donna M. Wilcock. (2022). Vascular Considerations for Amyloid Immunotherapy. Current Neurology and Neuroscience Reports. 22(11). 709–719. 7 indexed citations

13.

Weekman, Erica M., Erin L. Abner, Tiffany L. Sudduth, et al.. (2022). Genetic expression changes and pathologic findings associated with hyperhomocysteinemia in human autopsy brain tissue. Alzheimer s & Dementia Translational Research & Clinical Interventions. 8(1). e12368–e12368. 5 indexed citations

14.

Gál, József, Yuriko Katsumata, Haining Zhu, et al.. (2021). Apolipoprotein E Proteinopathy Is a Major Dementia-Associated Pathologic Biomarker in Individuals with or without the APOE Epsilon 4 Allele. American Journal Of Pathology. 192(3). 564–578. 6 indexed citations

15.

Wilcock, Donna M., et al.. (2020). The Important Interface Between Apolipoprotein E and Neuroinflammation in Alzheimer’s Disease. Frontiers in Immunology. 11. 754–754. 113 indexed citations

16.

Al‐Janabi, Omar, Christopher Brown, Brian T. Gold, et al.. (2018). Amyloid and Hypertension Are Independently Associated with White Matter Injury Assessed by FLAIR and DTI MRI (P3.174). Neurology. 90(15_supplement).

17.

Wilcock, Donna M., Frederick A. Schmitt, & Elizabeth Head. (2015). Cerebrovascular contributions to aging and Alzheimer's disease in Down syndrome. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(5). 909–914. 36 indexed citations

18.

Wilcock, Donna M., Amyn M. Rojiani, Arnon Rosenthal, et al.. (2004). Passive Amyloid Immunotherapy Clears Amyloid and Transiently Activates Microglia in a Transgenic Mouse Model of Amyloid Deposition. Journal of Neuroscience. 24(27). 6144–6151. 250 indexed citations

19.

Arendash, Gary W., Marcia N. Gordon, David M. Diamond, et al.. (2001). Behavioral Assessment of Alzheimer's Transgenic Mice Following Long-Term A β Vaccination: Task Specificity and Correlations between A β Deposition and Spatial Memory. DNA and Cell Biology. 20(11). 737–744. 100 indexed citations

20.

Wilcock, Donna M., Marcia N. Gordon, Kenneth E. Ugen, et al.. (2001). Number of A β Inoculations in APP+PS1 Transgenic Mice Influences Antibody Titers, Microglial Activation, and Congophilic Plaque Levels. DNA and Cell Biology. 20(11). 731–736. 77 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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