Jennifer K. Ferris

662 total citations
32 papers, 427 citations indexed

About

Jennifer K. Ferris is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Jennifer K. Ferris has authored 32 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Neurology and 10 papers in Epidemiology. Recurrent topics in Jennifer K. Ferris's work include Advanced Neuroimaging Techniques and Applications (15 papers), Stroke Rehabilitation and Recovery (9 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Jennifer K. Ferris is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (15 papers), Stroke Rehabilitation and Recovery (9 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Jennifer K. Ferris collaborates with scholars based in Canada, United States and Australia. Jennifer K. Ferris's co-authors include Lara A. Boyd, Jason L. Neva, Sue Peters, Angela M. Auriat, Kiran K. Soma, Sarah A. Heimovics, Kenneth Madden, J. Timothy Inglis, Kathryn S. Hayward and Joel Ramirez and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Jennifer K. Ferris

28 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer K. Ferris Canada 13 150 121 116 81 58 32 427
Sadhvi Saxena United States 15 207 1.4× 451 3.7× 164 1.4× 67 0.8× 88 1.5× 26 677
Kristin M. Pearson‐Fuhrhop United States 8 113 0.8× 115 1.0× 192 1.7× 22 0.3× 72 1.2× 9 465
Lena V. Schumacher Germany 11 65 0.4× 182 1.5× 17 0.1× 78 1.0× 18 0.3× 18 341
Preston Williams United States 12 150 1.0× 88 0.7× 52 0.4× 30 0.4× 22 0.4× 17 400
Serena Campana Italy 9 228 1.5× 278 2.3× 113 1.0× 47 0.6× 19 0.3× 13 399
H.-J. Freund Germany 11 209 1.4× 204 1.7× 89 0.8× 53 0.7× 41 0.7× 20 521
Laura Mordillo‐Mateos Spain 12 406 2.7× 251 2.1× 47 0.4× 62 0.8× 26 0.4× 39 623
M. Desikan United Kingdom 7 405 2.7× 312 2.6× 158 1.4× 40 0.5× 18 0.3× 15 550
Lutz Winhuisen Germany 7 253 1.7× 551 4.6× 131 1.1× 163 2.0× 71 1.2× 9 676
Luana Billeri Italy 12 100 0.7× 114 0.9× 129 1.1× 13 0.2× 37 0.6× 32 448

Countries citing papers authored by Jennifer K. Ferris

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer K. Ferris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer K. Ferris

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Ferris. A scholar is included among the top collaborators of Jennifer K. Ferris 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 Jennifer K. Ferris. Jennifer K. Ferris 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.
Ferris, Jennifer K., et al.. (2025). A systematic review and meta-analysis of disease clusters in multimorbidity. Nature Communications. 17(1). 634–634.
2.
4.
Ferris, Jennifer K., et al.. (2023). Optimizing automated white matter hyperintensity segmentation in individuals with stroke. SHILAP Revista de lepidopterología. 2. 1099301–1099301. 4 indexed citations
5.
Kraeutner, Sarah N., et al.. (2023). Frontoparietal function and underlying structure reflect capacity for motor skill acquisition during healthy aging. Neurobiology of Aging. 133. 78–86. 3 indexed citations
6.
Rubino, Cristina, et al.. (2023). Improved processing speed and decreased functional connectivity in individuals with chronic stroke after paired exercise and motor training. Scientific Reports. 13(1). 13652–13652. 8 indexed citations
7.
Ferris, Jennifer K., Irene M. Vavasour, Sarah N. Kraeutner, et al.. (2022). In vivo myelin imaging and tissue microstructure in white matter hyperintensities and perilesional white matter. Brain Communications. 4(3). fcac142–fcac142. 13 indexed citations
8.
Hayward, Kathryn S., Jennifer K. Ferris, Keith R. Lohse, et al.. (2022). Observational Study of Neuroimaging Biomarkers of Severe Upper Limb Impairment After Stroke. Neurology. 99(4). e402–e413. 20 indexed citations
9.
Wister, Andrew, Lun Li, Carly Whitmore, et al.. (2022). Multimorbidity resilience and health behaviors among older adults: A longitudinal study using the Canadian Longitudinal Study on Aging. Frontiers in Public Health. 10. 896312–896312. 9 indexed citations
10.
Ferris, Jennifer K., et al.. (2022). Exploring biomarkers of processing speed and executive function: The role of the anterior thalamic radiations. NeuroImage Clinical. 36. 103174–103174. 12 indexed citations
11.
Ferris, Jennifer K., et al.. (2020). Aberrant Cerebellar Resting‐State Functional Connectivity Related to Reading Performance in Struggling Readers. Developmental Science. 24(2). e13022–e13022. 9 indexed citations
12.
Ferris, Jennifer K., et al.. (2018). Bilateral Motor Cortex Plasticity in Individuals With Chronic Stroke, Induced by Paired Associative Stimulation. Neurorehabilitation and neural repair. 32(8). 671–681. 14 indexed citations
13.
Auriat, Angela M., Jennifer K. Ferris, Sue Peters, et al.. (2018). The Impact of Covert Lacunar Infarcts and White Matter Hyperintensities on Cognitive and Motor Outcomes After Stroke. Journal of Stroke and Cerebrovascular Diseases. 28(2). 381–388. 16 indexed citations
14.
Hayward, Kathryn S., Jason L. Neva, Cameron S. Mang, et al.. (2017). Interhemispheric Pathways Are Important for Motor Outcome in Individuals with Chronic and Severe Upper Limb Impairment Post Stroke. Neural Plasticity. 2017. 1–12. 32 indexed citations
15.
Ferris, Jennifer K., et al.. (2017). Changes to white matter microstructure in transient ischemic attack: A longitudinal diffusion tensor imaging study. Human Brain Mapping. 38(11). 5795–5803. 12 indexed citations
16.
Ferris, Jennifer K., et al.. (2017). Type-2 diabetes mellitus reduces cortical thickness and decreases oxidative metabolism in sensorimotor regions after stroke. Journal of Cerebral Blood Flow & Metabolism. 38(5). 823–834. 7 indexed citations
17.
Auriat, Angela M., Jason L. Neva, Sue Peters, Jennifer K. Ferris, & Lara A. Boyd. (2015). A Review of Transcranial Magnetic Stimulation and Multimodal Neuroimaging to Characterize Post-Stroke Neuroplasticity. Frontiers in Neurology. 6. 226–226. 89 indexed citations
19.
McGuire, Nicolette L., Jennifer K. Ferris, Lut Arckens, George E. Bentley, & Kiran K. Soma. (2013). Gonadotropin releasing hormone (GnRH) and gonadotropin inhibitory hormone (GnIH) in the songbird hippocampus: Regional and sex differences in adult zebra finches. Peptides. 46. 64–75. 10 indexed citations
20.
Ferris, Jennifer K., et al.. (2004). Tabaquismo parental y cáncer pediátrico. 60(3). 225–236. 4 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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