Natalie S. Ryan

12.7k total citations
78 papers, 3.0k citations indexed

About

Natalie S. Ryan is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Natalie S. Ryan has authored 78 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Physiology, 31 papers in Psychiatry and Mental health and 21 papers in Molecular Biology. Recurrent topics in Natalie S. Ryan's work include Alzheimer's disease research and treatments (44 papers), Dementia and Cognitive Impairment Research (29 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Natalie S. Ryan is often cited by papers focused on Alzheimer's disease research and treatments (44 papers), Dementia and Cognitive Impairment Research (29 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Natalie S. Ryan collaborates with scholars based in United Kingdom, Belgium and United States. Natalie S. Ryan's co-authors include Nick C. Fox, Martin N. Rossor, Sébastien Ourselin, Jonathan M. Schott, Philip S.J. Weston, Tammaryn Lashley, Simon Mead, Ian B. Malone, Lucía Chávez‐Gutiérrez and Sebastian J. Crutch and has published in prestigious journals such as Cell, Nature Medicine and Nature Communications.

In The Last Decade

Natalie S. Ryan

75 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie S. Ryan United Kingdom 31 1.5k 857 853 536 530 78 3.0k
Eric E. Abrahamson United States 31 1.8k 1.2× 869 1.0× 840 1.0× 721 1.3× 345 0.7× 61 4.0k
Hans Kretzschmar Germany 18 2.0k 1.3× 1.3k 1.5× 819 1.0× 786 1.5× 376 0.7× 28 3.8k
Ross W. Paterson United Kingdom 31 1.2k 0.8× 667 0.8× 882 1.0× 809 1.5× 324 0.6× 75 2.9k
Nirubol Tosakulwong United States 36 2.0k 1.3× 726 0.8× 1.6k 1.8× 1.2k 2.3× 1.1k 2.0× 101 4.4k
Daniel Alcolea Spain 35 1.5k 1.0× 889 1.0× 906 1.1× 845 1.6× 155 0.3× 112 3.1k
Albert Lladó Spain 34 1.8k 1.2× 962 1.1× 1.3k 1.5× 1.6k 3.0× 380 0.7× 132 4.3k
Anna Karydas United States 31 1.6k 1.0× 1.3k 1.5× 838 1.0× 1.5k 2.8× 197 0.4× 58 3.7k
Wai Tsui United States 24 1.9k 1.2× 586 0.7× 1.4k 1.6× 180 0.3× 591 1.1× 36 3.2k
Angus Kennedy United Kingdom 23 2.4k 1.5× 867 1.0× 1.5k 1.8× 376 0.7× 549 1.0× 45 4.1k
Donna J. Cross United States 25 872 0.6× 368 0.4× 421 0.5× 535 1.0× 450 0.8× 65 2.6k

Countries citing papers authored by Natalie S. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Natalie S. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie S. Ryan. 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 Natalie S. Ryan. The network helps show where Natalie S. Ryan may publish in the future.

Co-authorship network of co-authors of Natalie S. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie S. Ryan. A scholar is included among the top collaborators of Natalie S. Ryan 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 Natalie S. Ryan. Natalie S. Ryan 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.
Ge, Junyue, Maciej Dulewicz, Kaj Blennow, et al.. (2025). Chemical imaging delineates Aβ plaque polymorphism across the Alzheimer’s disease spectrum. Nature Communications. 16(1). 3889–3889. 3 indexed citations
2.
Day, Brian L., Amy Peters, David M. Cash, et al.. (2025). Visual modulation of vestibular‐evoked balance response disturbed by posterior cortical atrophy. The Journal of Physiology. 604(3). 1255–1271.
3.
Fernández, Sara Gutiérrez, Wim Annaert, John M. Ringman, et al.. (2025). Spectrum of γ-Secretase dysfunction as a unifying predictor of ADAD age at onset across PSEN1, PSEN2 and APP causal genes. Molecular Neurodegeneration. 20(1). 48–48. 1 indexed citations
4.
O’Connor, Antoinette, Natalie S. Ryan, David S. Lynch, et al.. (2024). Genetic testing in dementia. Practical Neurology. 25(2). 127–136. 2 indexed citations
5.
Banerjee, Gargi, Simon F. Farmer, Harpreet Hyare, et al.. (2024). Iatrogenic Alzheimer’s disease in recipients of cadaveric pituitary-derived growth hormone. Nature Medicine. 30(2). 394–402. 47 indexed citations
6.
Banerjee, Gargi, John Collinge, Nick C. Fox, et al.. (2023). Clinical considerations in early-onset cerebral amyloid angiopathy. Brain. 146(10). 3991–4014. 30 indexed citations
7.
Michno, Wojciech, Rafael Camacho, Christina E. Toomey, et al.. (2022). Chemical traits of cerebral amyloid angiopathy in familial British‐, Danish‐, and non‐Alzheimerʼs dementias. Journal of Neurochemistry. 163(3). 233–246. 6 indexed citations
8.
Fernández, Sara Gutiérrez, Katarzyna Marta Zoltowska, Thomas Enzlein, et al.. (2022). Aβ profiles generated by Alzheimer’s disease causing PSEN1 variants determine the pathogenicity of the mutation and predict age at disease onset. Molecular Psychiatry. 27(6). 2821–2832. 68 indexed citations
9.
Pavisic, Ivanna M., Jennifer M. Nicholas, Yoni Pertzov, et al.. (2021). Visual short-term memory impairments in presymptomatic familial Alzheimer's disease: A longitudinal observational study. Neuropsychologia. 162. 108028–108028. 8 indexed citations
10.
O’Connor, Antoinette, Emily K. Abel, Natalie S. Ryan, et al.. (2021). A novel presenilin 1 duplication mutation (Ile168dup) causing Alzheimer's disease associated with myoclonus, seizures and pyramidal features. Neurobiology of Aging. 103. 137.e1–137.e5. 3 indexed citations
11.
Kenny, Janna, Natalie S. Ryan, Jonathan D. Rohrer, et al.. (2020). Genetic testing in dementia — utility and clinical strategies. Nature Reviews Neurology. 17(1). 23–36. 25 indexed citations
12.
O’Connor, Antoinette, Philip S.J. Weston, Ivanna M. Pavisic, et al.. (2020). Quantitative detection and staging of presymptomatic cognitive decline in familial Alzheimer’s disease: a retrospective cohort analysis. Alzheimer s Research & Therapy. 12(1). 126–126. 19 indexed citations
13.
Sudre, Carole H., et al.. (2020). The age-dependent associations of white matter hyperintensities and neurofilament light in early- and late-stage Alzheimer's disease. Neurobiology of Aging. 97. 10–17. 24 indexed citations
14.
Hitzenberger, Manuel, Sam Lismont, Katarzyna Marta Zoltowska, et al.. (2019). Extracellular interface between APP and Nicastrin regulates Aβ length and response to γ‐secretase modulators. The EMBO Journal. 38(12). 41 indexed citations
15.
Arber, Charles, Jamie Toombs, Christopher Lovejoy, et al.. (2019). Familial Alzheimer’s disease patient-derived neurons reveal distinct mutation-specific effects on amyloid beta. Molecular Psychiatry. 25(11). 2919–2931. 98 indexed citations
16.
Shakespeare, Timothy J., Diego Kaski, Keir Yong, et al.. (2015). Abnormalities of fixation, saccade and pursuit in posterior cortical atrophy. Brain. 138(7). 1976–1991. 75 indexed citations
17.
Scahill, Rachael I., Gerard R. Ridgway, Jonathan W. Bartlett, et al.. (2013). Genetic Influences on Atrophy Patterns in Familial Alzheimer's Disease: A Comparison of APP and PSEN1 Mutations. Journal of Alzheimer s Disease. 35(1). 199–212. 30 indexed citations
18.
Fratta, Pietro, Mark Poulter, Tammaryn Lashley, et al.. (2013). Homozygosity for the C9orf72 GGGGCC repeat expansion in frontotemporal dementia. Acta Neuropathologica. 126(3). 401–409. 104 indexed citations
19.
Keihaninejad, Shiva, Natalie S. Ryan, Ian B. Malone, et al.. (2012). The Importance of Group-Wise Registration in Tract Based Spatial Statistics Study of Neurodegeneration: A Simulation Study in Alzheimer's Disease. PLoS ONE. 7(11). e45996–e45996. 71 indexed citations
20.
Schott, Jonathan M., Sebastian J. Crutch, James Uphill, et al.. (2012). P4‐107: Genetic risk factors for posterior cortical atrophy may be distinct from late‐onset Alzheimer's disease. Alzheimer s & Dementia. 8(4S_Part_18). 1 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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