Jill K. Morris

2.9k total citations
83 papers, 2.1k citations indexed

About

Jill K. Morris is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Jill K. Morris has authored 83 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Physiology, 24 papers in Psychiatry and Mental health and 17 papers in Molecular Biology. Recurrent topics in Jill K. Morris's work include Alzheimer's disease research and treatments (23 papers), Dementia and Cognitive Impairment Research (20 papers) and Diet and metabolism studies (18 papers). Jill K. Morris is often cited by papers focused on Alzheimer's disease research and treatments (23 papers), Dementia and Cognitive Impairment Research (20 papers) and Diet and metabolism studies (18 papers). Jill K. Morris collaborates with scholars based in United States, France and Australia. Jill K. Morris's co-authors include Jeffrey M. Burns, Eric D. Vidoni, Robyn A. Honea, Paige C. Geiger, Gregory L. Bomhoff, Russell H. Swerdlow, John A. Stanford, David K. Johnson, Sandra A. Billinger and Jonathan D. Mahnken and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Jill K. Morris

71 papers receiving 2.1k citations

Peers

Jill K. Morris
Ann Marie Hake United States
Aaron Koenig United States
Mark A. Fishel United States
Karen J. Miller United States
Yifeng Du China
Ann Marie Hake United States
Jill K. Morris
Citations per year, relative to Jill K. Morris Jill K. Morris (= 1×) peers Ann Marie Hake

Countries citing papers authored by Jill K. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Jill K. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill K. Morris. 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 Jill K. Morris. The network helps show where Jill K. Morris may publish in the future.

Co-authorship network of co-authors of Jill K. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Jill K. Morris. A scholar is included among the top collaborators of Jill K. Morris 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 Jill K. Morris. Jill K. Morris 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.
John, Casey S., et al.. (2025). A blood based mitochondrial functional index biomarker for Alzheimer's disease. Alzheimer s & Dementia. 21(12). e71061–e71061.
2.
Vidoni, Eric D., Adam Parks, Ryan Townley, et al.. (2025). Scaling Alzheimer's Care: The Case for Specialized Treatment Clinics. Journal of the American Geriatrics Society. 73(8). 2545–2552.
3.
Honea, Robyn A., Ian Weidling, Casey S. John, et al.. (2025). Mitochondrial DNA affects tau phosphorylation in aging and Alzheimer's disease. Alzheimer s & Dementia. 21(7). e70390–e70390. 1 indexed citations
4.
Evans, Megan L., Casey S. John, Michael P. Washburn, et al.. (2025). Human skeletal muscle mitochondrial pathways are impacted by a neuropathologic diagnosis of Alzheimer's disease. Neurobiology of Disease. 210. 106916–106916.
5.
John, Casey S., et al.. (2024). Methods to characterize lactate turnover in aging and Alzheimer's disease; The LEAN study. Contemporary Clinical Trials. 146. 107682–107682. 1 indexed citations
6.
Honea, Robyn A., Eric D. Vidoni, Rebecca J. Lepping, et al.. (2024). Relationship of Mito‐Nuclear Genetics to FDG‐PET Alzheimer’s Disease Biomarkers in Aging. Alzheimer s & Dementia. 20(S2).
7.
McCoin, Colin S., Megan L. Evans, John P. Thyfault, et al.. (2024). Skeletal muscle proteome differs between young APOE3 and APOE4 targeted replacement mice in a sex-dependent manner. Frontiers in Aging Neuroscience. 16. 1486762–1486762. 1 indexed citations
8.
Honea, Robyn A., Heather Wilkins, Suzanne Hunt, et al.. (2024). TOMM40 may mediate GFAP, neurofilament light Protein, pTau181, and brain morphometry in aging. SHILAP Revista de lepidopterología. 7. 100134–100134. 2 indexed citations
9.
Mahnken, Jonathan D., et al.. (2024). Changes in Alzheimer's disease blood biomarkers in kidney failure before and after kidney transplant. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(3). e12614–e12614. 4 indexed citations
10.
John, Casey S., J. Donald, Jonathan D. Mahnken, et al.. (2024). Acute exercise alters brain glucose metabolism in aging and Alzheimer's disease. The Journal of Physiology. 604(6). 2473–2490. 6 indexed citations
11.
Morris, Jill K., et al.. (2023). Biomarker Responses to Acute Exercise and Relationship with Brain Blood Flow. Journal of Alzheimer s Disease. 97(1). 283–292. 3 indexed citations
12.
McCoin, Colin S., Casey S. John, John P. Thyfault, et al.. (2023). Relationship of Muscle Apolipoprotein E Expression with Markers of Cellular Stress, Metabolism, and Blood Biomarkers in Cognitively Healthy and Impaired Older Adults. Journal of Alzheimer s Disease. 92(3). 1027–1035. 1 indexed citations
13.
Palmer, Jacqueline A., Jill K. Morris, Sandra A. Billinger, et al.. (2022). Hippocampal blood flow rapidly and preferentially increases after a bout of moderate-intensity exercise in older adults with poor cerebrovascular health. Cerebral Cortex. 33(9). 5297–5306. 12 indexed citations
14.
Vidoni, Eric D., Jill K. Morris, Jacqueline A. Palmer, et al.. (2022). Dementia risk and dynamic response to exercise: A non-randomized clinical trial. PLoS ONE. 17(7). e0265860–e0265860. 13 indexed citations
15.
Honea, Robyn A., Rebecca J. Lepping, Amber Watts, et al.. (2021). Aerobic exercise improves hippocampal blood flow for hypertensive Apolipoprotein E4 carriers. Journal of Cerebral Blood Flow & Metabolism. 41(8). 2026–2037. 26 indexed citations
16.
Morris, Jill K., Colin S. McCoin, Kelly N. Z. Fuller, et al.. (2021). Mild Cognitive Impairment and Donepezil Impact Mitochondrial Respiratory Capacity in Skeletal Muscle. Function. 2(6). zqab045–zqab045. 15 indexed citations
17.
Vidoni, Eric D., Jill K. Morris, Amber Watts, et al.. (2021). Effect of aerobic exercise on amyloid accumulation in preclinical Alzheimer’s: A 1-year randomized controlled trial. PLoS ONE. 16(1). e0244893–e0244893. 54 indexed citations
18.
John, Casey S., Rebecca J. Lepping, Phil Lee, et al.. (2021). A methodology for an acute exercise clinical trial called dementia risk and dynamic response to exercise. Scientific Reports. 11(1). 12776–12776. 5 indexed citations
19.
Gorres, Brittany K., Gregory L. Bomhoff, Jill K. Morris, & Paige C. Geiger. (2011). In vivo stimulation of oestrogen receptor α increases insulin‐stimulated skeletal muscle glucose uptake. The Journal of Physiology. 589(8). 2041–2054. 82 indexed citations
20.
Haque, Inamul, Gregory L. Bomhoff, Hiroo Katayama, et al.. (2009). Identifying protein stabilizing ligands using GroEL. Biopolymers. 93(3). 237–251. 8 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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