Heather Wilkins

5.3k total citations
102 papers, 2.9k citations indexed

About

Heather Wilkins is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Heather Wilkins has authored 102 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 55 papers in Physiology and 13 papers in Neurology. Recurrent topics in Heather Wilkins's work include Mitochondrial Function and Pathology (41 papers), Alzheimer's disease research and treatments (40 papers) and Diet and metabolism studies (12 papers). Heather Wilkins is often cited by papers focused on Mitochondrial Function and Pathology (41 papers), Alzheimer's disease research and treatments (40 papers) and Diet and metabolism studies (12 papers). Heather Wilkins collaborates with scholars based in United States, Canada and Australia. Heather Wilkins's co-authors include Russell H. Swerdlow, Daniel A. Linseman, Natalie A. Kelsey, Steven M. Carl, Ian Weidling, Scott J. Koppel, Jeffrey M. Burns, Jill K. Morris, Jonathan D. Mahnken and Yan Ji and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Heather Wilkins

98 papers receiving 2.8k citations

Peers

Heather Wilkins

PHYSI

NEURO

PHARM

NEURO

Mark E. Obrenovich United States

Luca Giliberto United States

Antonella Tramutola Italy

Mansi Babbar United States

Juhyun Song South Korea

Mireia Coma Spain

Chunjiu Zhong China

Patrícia Fernanda Schuck Brazil

Daniele Tomassoni Italy

Mark E. Obrenovich United States

Heather Wilkins

1.5k ×1.1

1.4k ×1.3

PHYSI

450 ×1.2

NEURO

331 ×1.2

PHARM

236 ×0.9

NEURO

Citations per year, relative to Heather Wilkins Heather Wilkins (= 1×) peers Mark E. Obrenovich

Countries citing papers authored by Heather Wilkins

Since Specialization

Citations

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

Fields of papers citing papers by Heather Wilkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather Wilkins. 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 Heather Wilkins. The network helps show where Heather Wilkins may publish in the future.

Co-authorship network of co-authors of Heather Wilkins

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Wilkins. A scholar is included among the top collaborators of Heather Wilkins 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 Heather Wilkins. Heather Wilkins 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

Johnson, Erik C. B., Laura Winchester, Keenan A. Walker, et al.. (2025). APOE ε4 carriers share immune-related proteomic changes across neurodegenerative diseases. Nature Medicine. 31(8). 2590–2601. 9 indexed citations

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

Thyfault, John P., et al.. (2025). The impact of exercise on brain mitochondrial health and its relevance to Alzheimer's disease. 5. 100012–100012. 1 indexed citations

Taylor, Matthew K., Jeffrey M. Burns, In‐Young Choi, et al.. (2024). Protocol for a single-arm, pilot trial of creatine monohydrate supplementation in patients with Alzheimer’s disease. Pilot and Feasibility Studies. 10(1). 42–42. 3 indexed citations

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).

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

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

Cho, Ann‐Na, et al.. (2024). Proteome profiling of cerebrospinal fluid using machine learning shows a unique protein signature associated with APOE4 genotype. Aging Cell. 24(4). e14439–e14439. 1 indexed citations

Wilkins, Heather, et al.. (2024). The reciprocal relationship between amyloid precursor protein and mitochondrial function. Journal of Neurochemistry. 168(9). 2275–2284. 4 indexed citations

10.

Novikova, Lesya, Xiaowan Wang, Artyom Kopp, et al.. (2024). Inhibiting mtDNA transcript translation alters Alzheimer's disease‐associated biology. Alzheimer s & Dementia. 20(12). 8429–8443. 1 indexed citations

11.

Kulminski, Alexander M., Alireza Nazarian, Heather Wilkins, et al.. (2024). Association of APOE alleles and polygenic profiles comprising APOE ‐ TOMM40 ‐ APOC1 variants with Alzheimer's disease neuroimaging markers. Alzheimer s & Dementia. 21(2). e14445–e14445. 3 indexed citations

12.

Jawdat, Omar, Jeffrey Statland, Mamatha Pasnoor, et al.. (2024). Resistance exercise in early-stage ALS patients, ALSFRS-R, Sickness Impact Profile ALS-19, and muscle transcriptome: a pilot study. Scientific Reports. 14(1). 21729–21729. 3 indexed citations

13.

Wilkins, Heather, et al.. (2023). Protective effects of mitochondrial genome abundance on Alzheimer’s Disease: a Mendelian randomization study. Alzheimer s & Dementia. 19(S24). 2 indexed citations

14.

Wilkins, Heather. (2023). Interactions between amyloid, amyloid precursor protein, and mitochondria. Biochemical Society Transactions. 51(1). 173–182. 22 indexed citations

15.

Cho, Ann‐Na, Heather Wilkins, Shea J. Andrews, et al.. (2023). Blood-Based Transcriptomic Biomarkers Are Predictive of Neurodegeneration Rather Than Alzheimer’s Disease. International Journal of Molecular Sciences. 24(19). 15011–15011. 4 indexed citations

16.

Finney, Caitlin A., Heather Wilkins, Russell H. Swerdlow, & David A. Brown. (2023). Activators of neurotoxic microglia in neurodegeneration: is the answer in blood?. Immunology and Cell Biology. 101(8). 687–689. 2 indexed citations

17.

Wilkins, Heather, Xiaowan Wang, Scott J. Koppel, et al.. (2021). Bioenergetic and inflammatory systemic phenotypes in Alzheimer’s disease APOE ε4‐carriers. Aging Cell. 20(5). e13356–e13356. 12 indexed citations

18.

Allen, Julie, John A. Stanford, Lauren G. Koch, et al.. (2021). Intrinsic aerobic capacity, sex, and brain aging: Determinants of Alzheimer- s disease risk. Deep Blue (University of Michigan). 1 indexed citations

19.

Kumar, Ram, Soma Ray, Pratik Home, et al.. (2018). Regulation of energy metabolism during early mammalian development: TEAD4 controls mitochondrial transcription. Development. 145(19). 36 indexed citations

20.

Wilkins, Heather & Russell H. Swerdlow. (2016). Amyloid precursor protein processing and bioenergetics. Brain Research Bulletin. 133. 71–79. 169 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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