Alexandra L. Young

4.2k total citations · 2 hit papers
55 papers, 1.5k citations indexed

About

Alexandra L. Young is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Alexandra L. Young has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 14 papers in Physiology and 10 papers in Cognitive Neuroscience. Recurrent topics in Alexandra L. Young's work include Dementia and Cognitive Impairment Research (27 papers), Alzheimer's disease research and treatments (14 papers) and Functional Brain Connectivity Studies (10 papers). Alexandra L. Young is often cited by papers focused on Dementia and Cognitive Impairment Research (27 papers), Alzheimer's disease research and treatments (14 papers) and Functional Brain Connectivity Studies (10 papers). Alexandra L. Young collaborates with scholars based in United Kingdom, United States and Netherlands. Alexandra L. Young's co-authors include Daniel C. Alexander, Neil P. Oxtoby, Nick C. Fox, Jonathan M. Schott, Leon Aksman, David M. Cash, Jacob W. Vogel, P. A. Wijeratne, Oskar Hansson and Rik Ossenkoppele and has published in prestigious journals such as The Lancet, Nature Medicine and Nature Communications.

In The Last Decade

Alexandra L. Young

52 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Four distinct trajectories of tau deposition identified in Alzheimer’s disease

2021 400 citations Jacob W. Vogel, Alexandra L. Young et al. Nature Medicine profile →
Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

2021 142 citations Arman Eshaghi, Alexandra L. Young et al. Nature Communications profile →

Peers

Countries citing papers authored by Alexandra L. Young

Since Specialization

Citations

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

Fields of papers citing papers by Alexandra L. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra L. Young. 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 Alexandra L. Young. The network helps show where Alexandra L. Young may publish in the future.

Co-authorship network of co-authors of Alexandra L. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra L. Young. A scholar is included among the top collaborators of Alexandra L. Young 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 Alexandra L. Young. Alexandra L. Young 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

#	Work	Indexed citations
1	From resting-state functional hippocampal centrality to functional outcome: An extended neurocognitive model of psychosis 2025 ·Psychiatry Research ·(unknown), Jai Shah, Alexandra L. Young, (unknown), Ridha Joober, Delphine Raucher‐Chéné, Martín Lepage, Katie M. Lavigne	0
2	Biological classification of memory clinic patients 2025 ·Brain ·Sophie E Mastenbroek, Lyduine E. Collij, (unknown), (unknown), Alexandra L. Young, Olof Strandberg, Ruben Smith, Nicola Spotorno, Sebastian Palmqvist, Niklas Mattsson, Shorena Janelidze, Piero Parchi, Jacob W. Vogel, Frederik Barkhof, Rik Ossenkoppele, Oskar Hansson	0
3	Multimodal subtypes identified in Alzheimer’s Disease Neuroimaging Initiative participants by missing-data-enabled subtype and stage inference 2024 ·Brain Communications ·Mar Estarellas, Neil P. Oxtoby, Jonathan M. Schott, Daniel C. Alexander, Alexandra L. Young	5
4	Longitudinal inference of multiscale markers in psychosis: from hippocampal centrality to functional outcome 2024 ·Molecular Psychiatry ·(unknown), M. Mallar Chakravarty, Ridha Joober, Ashok Malla, Jai Shah, Delphine Raucher‐Chéné, Alexandra L. Young, Dennis Hernaus, Martín Lepage, Katie M. Lavigne	1
5	Disease progression modelling reveals heterogeneity in trajectories of Lewy-type α-synuclein pathology 2024 ·Nature Communications ·Sophie E Mastenbroek, Jacob W. Vogel, Lyduine E. Collij, Geidy E. Serrano, Cécilia Tremblay, Alexandra L. Young, Richard Arce, Holly A. Shill, Erika Driver‐Dunckley, Shyamal H. Mehta, Christine M. Belden, Alireza Atri, Parichita Choudhury, Frederik Barkhof, Charles H. Adler, Rik Ossenkoppele, Thomas G. Beach, Oskar Hansson	30
6	Data-driven modelling of neurodegenerative disease progression: thinking outside the black box 2024 ·Nature reviews. Neuroscience ·Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Nick C. Fox, Frederik Barkhof, Jonathan M. Schott, Daniel C. Alexander	25
7	OA03.03 The 2024 International Association for the Study of Lung Cancer (IASLC) Global Survey on Biomarker Testing 2024 ·Journal of Thoracic Oncology ·Matthew P. Smeltzer, (unknown), Sylvie Lantuéjoul, Ross A. Soo, Anna Kerpel-Fronius, Aditya Mohan, Gavitt A. Woodard, (unknown), (unknown), Kenneth W. Brunson, (unknown), Murry W. Wynes, (unknown), Alexandra L. Young, (unknown), Kathleen Kelly	1
8	Biomarker pathway heterogeneity of amyloid‐positive individuals 2024 ·Alzheimer s & Dementia ·(unknown), Carole H. Sudre, Neil P. Oxtoby, Alexandra L. Young, Ian B. Malone, Emily N. Manning, Hugh Pemberton, (unknown), Frederik Barkhof, Geert Jan Biessels, David M. Cash, Josephine Barnes, (unknown)	4
9	A data-driven study of Alzheimer's disease related amyloid and tau pathology progression 2023 ·Brain ·Leon Aksman, Neil P. Oxtoby, Marzia A. Scelsi, P. A. Wijeratne, Alexandra L. Young, Isadora Lopes Alves, Lyduine E. Collij, Jacob W. Vogel, Frederik Barkhof, Daniel C. Alexander, André Altmann, (unknown)	26
10	Progressively confluent monkeypox lesions with necrosis 2023 ·Oxford Medical Case Reports ·(unknown), (unknown), (unknown), Alexandra L. Young, (unknown)	3
11	Transferability of Alzheimer's disease progression subtypes to an independent population cohort 2023 ·NeuroImage ·Hanyi Chen, Alexandra L. Young, Neil P. Oxtoby, Frederik Barkhof, Daniel C. Alexander, André Altmann	4
12	pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm 2021 ·SoftwareX ·Leon Aksman, P. A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, (unknown), André Altmann, Daniel C. Alexander, Alexandra L. Young	30
13	Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data breakdown → 2021 ·Nature Communications ·Arman Eshaghi, Alexandra L. Young, P. A. Wijeratne, Ferrán Prados, Douglas L. Arnold, Sridar Narayanan, Charles R.G. Guttmann, Frederik Barkhof, Daniel C. Alexander, Alan J. Thompson, Declan Chard, Olga Ciccarelli	142
14	Four distinct trajectories of tau deposition identified in Alzheimer’s disease breakdown → 2021 ·Nature Medicine ·(unknown), Jacob W. Vogel, Alexandra L. Young, Neil P. Oxtoby, Ruben Smith, Rik Ossenkoppele, Olof Strandberg, Renaud La Joie, Leon Aksman, Michel J. Grothe, Yasser Iturria‐Medina, Michael J. Pontecorvo, Michael D. Devous, Gil D. Rabinovici, Daniel C. Alexander, Chul Hyoung Lyoo, Alan C. Evans, Oskar Hansson	400
15	Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative 2021 ·Brain Communications ·(unknown), Carole H. Sudre, Alexandra L. Young, Amy MacDougall, Jennifer M. Nicholas, Emily N. Manning, Ian B. Malone, (unknown), Olivia Goodkin, Hugh Pemberton, Frederik Barkhof, Daniel C. Alexander, M. Jorge Cardoso, Geert Jan Biessels, Josephine Barnes, (unknown)	7
16	Sequence of clinical and neurodegeneration events in Parkinson’s disease progression 2021 ·Brain ·Neil P. Oxtoby, Louise‐Ann Leyland, Leon Aksman, George E. Thomas, (unknown), P. A. Wijeratne, Alexandra L. Young, Angeliki Zarkali, Manuela Tan, Fion Bremner, Pearse A. Keane, Huw R. Morris, Anette Schrag, Daniel C. Alexander, Rimona S. Weil	60
17	Evolution of white matter damage in amyotrophic lateral sclerosis 2020 ·Annals of Clinical and Translational Neurology ·Matt C. Gabel, (unknown), Alexandra L. Young, Sharon Abrahams, Mark E. Bastin, Ricarda Menke, Ammar Al‐Chalabi, Laura H. Goldstein, Stella Tsermentseli, Daniel C. Alexander, Martin R. Turner, P. Nigel Leigh, Mara Cercignani	16
18	<p>Thoracic Imaging at Exacerbation of Chronic Obstructive Pulmonary Disease: A Systematic Review</p> 2020 ·International Journal of COPD ·(unknown), Alexandra L. Young, Joseph Jacob, Anthony Cahn, Sarah Lee, Frederick J. Wilson, David J. Hawkes, John R. Hurst	8
19	Multimodal modelling of the heterogeneity of Alzheimer’s disease 2020 ·Alzheimer s & Dementia ·Mar Estarellas, Alexandra L. Young, Jonathan M. Schott, Daniel C. Alexander	1
20	Disease Progression Modeling in Chronic Obstructive Pulmonary Disease 2019 ·American Journal of Respiratory and Critical Care Medicine ·Alexandra L. Young, Felix Bragman, (unknown), MeiLan K. Han, Craig J. Galbán, David A. Lynch, David J. Hawkes, Daniel C. Alexander, John R. Hurst	61

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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