Jonathan M. Schott

2.0k total citations
18 papers, 295 citations indexed

About

Jonathan M. Schott is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Jonathan M. Schott has authored 18 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Physiology. Recurrent topics in Jonathan M. Schott's work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Jonathan M. Schott is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Jonathan M. Schott collaborates with scholars based in United Kingdom, Sweden and United States. Jonathan M. Schott's co-authors include James H. Cole, Niall Bourke, David Sharp, Neil Graham, Karl Zimmerman, Amy Jolly, Gregory Scott, Nick C. Fox, Ross W. Paterson and Amanda Heslegrave and has published in prestigious journals such as NeuroImage, Brain and The Lancet Neurology.

In The Last Decade

Jonathan M. Schott

17 papers receiving 290 citations

Peers

Jonathan M. Schott
Harli Grant United States
Cinthya Agüero United States
Kunlin Xiong China
Andrew Shutes‐David United States
Adrienne Visani United States
Kathleen Johnson United States
Fanxia Meng China
Kristen Dams-O’Connor United States
Guillermo García‐Ribas Spain
Christopher Carswell United Kingdom
Harli Grant United States
Jonathan M. Schott
Citations per year, relative to Jonathan M. Schott Jonathan M. Schott (= 1×) peers Harli Grant

Countries citing papers authored by Jonathan M. Schott

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Schott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan M. Schott

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

All Works

18 of 18 papers shown
1.
Schott, Jonathan M.. (2025). Amyloid immunotherapy to prevent Alzheimer's disease: the wrong drug at the right time?. The Lancet Neurology. 24(4). 279–281. 1 indexed citations
2.
Verdi, Serena, Saige Rutherford, Charlotte Fraza, et al.. (2024). Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling. Alzheimer s & Dementia. 20(10). 6998–7012. 6 indexed citations
3.
Boche, Delphine, James A. R. Nicoll, Zane Jaunmuktane, et al.. (2024). Brain volume change following anti-amyloid β immunotherapy for Alzheimer's disease: amyloid-removal-related pseudo-atrophy. The Lancet Neurology. 23(10). 1025–1034. 16 indexed citations
4.
Banerjee, Gargi, Jonathan M. Schott, & Natalie S. Ryan. (2024). Familial cerebral amyloid disorders with prominent white matter involvement. Handbook of clinical neurology. 204. 289–315.
5.
Graham, Neil, James H. Cole, Niall Bourke, Jonathan M. Schott, & David Sharp. (2023). Distinct patterns of neurodegeneration after TBI and in Alzheimer's disease. Alzheimer s & Dementia. 19(7). 3065–3077. 24 indexed citations
6.
Weston, Philip S.J., William Coath, Matthew Harris, et al.. (2023). Cortical tau is associated with microstructural imaging biomarkers of neurite density and dendritic complexity in Alzheimer's disease. Alzheimer s & Dementia. 19(6). 2750–2754. 12 indexed citations
7.
Graham, Neil, James H. Cole, Jonathan M. Schott, & David Sharp. (2022). Distinct patterns of neurodegeneration after TBI and in Alzheimer’s disease. Alzheimer s & Dementia. 18(S5). 2 indexed citations
8.
Ziff, Oliver J., Nicholas J. Ashton, Puja R. Mehta, et al.. (2022). Amyloid processing in COVID‐19‐associated neurological syndromes. Journal of Neurochemistry. 161(2). 146–157. 41 indexed citations
9.
Banerjee, Gargi, Niklas Forsgard, Gareth Ambler, et al.. (2021). Cerebrospinal fluid metallomics in cerebral amyloid angiopathy: an exploratory analysis. Journal of Neurology. 269(3). 1470–1475. 5 indexed citations
10.
Parker, Christopher S., Martina Bocchetta, Catherine F. Slattery, et al.. (2021). Not all voxels are created equal: Reducing estimation bias in regional NODDI metrics using tissue-weighted means. NeuroImage. 245. 118749–118749. 21 indexed citations
11.
Estarellas, Mar, Alexandra L. Young, Jonathan M. Schott, & Daniel C. Alexander. (2020). Multimodal modelling of the heterogeneity of Alzheimer’s disease. Alzheimer s & Dementia. 16(S4). 1 indexed citations
12.
Banerjee, Gargi, Gareth Ambler, Ashvini Keshavan, et al.. (2020). Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy. Journal of Alzheimer s Disease. 74(4). 1189–1201. 45 indexed citations
13.
Weston, Philip S.J., Teresa Poole, Jennifer M. Nicholas, et al.. (2020). Measuring cortical mean diffusivity to assess early microstructural cortical change in presymptomatic familial Alzheimer’s disease. Alzheimer s Research & Therapy. 12(1). 112–112. 25 indexed citations
14.
James, Sarah‐Naomi, Christopher Lane, Ashvini Keshavan, et al.. (2020). Lifetime cigarette smoking and later‐life brain health: The population‐based 1946 British Birth Cohort. Alzheimer s & Dementia. 16(S10). 1 indexed citations
15.
Graham, Neil, Amy Jolly, Karl Zimmerman, et al.. (2020). Diffuse axonal injury predicts neurodegeneration after moderate–severe traumatic brain injury. Brain. 143(12). 3685–3698. 87 indexed citations
16.
Young, Alexandra L., Neil P. Oxtoby, Jonathan M. Schott, & Daniel C. Alexander. (2014). Data-driven models of neurodegenerative disease. 5 indexed citations
17.
Leung, Kelvin K., Jonathan M. Schott, Jonathan W. Bartlett, & Nick C. Fox. (2013). O1–10–03: Association between brain atrophy rates from MRI and future cognitive decline. Alzheimer s & Dementia. 9(4S_Part_4). 1 indexed citations
18.
Schott, Jonathan M., et al.. (1958). [Study of the hypothalamopituitary interrelations in frogs and toads; control of gonadotropic activity].. PubMed. 50(2). 561–3. 2 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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