Michelle K. Lupton

20.1k total citations
34 papers, 1.1k citations indexed

About

Michelle K. Lupton is a scholar working on Physiology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Michelle K. Lupton has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 11 papers in Psychiatry and Mental health and 10 papers in Cognitive Neuroscience. Recurrent topics in Michelle K. Lupton's work include Alzheimer's disease research and treatments (13 papers), Dementia and Cognitive Impairment Research (7 papers) and Genetic Associations and Epidemiology (6 papers). Michelle K. Lupton is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Dementia and Cognitive Impairment Research (7 papers) and Genetic Associations and Epidemiology (6 papers). Michelle K. Lupton collaborates with scholars based in Australia, United Kingdom and United States. Michelle K. Lupton's co-authors include John Powell, Petroula Proitsi, Simon Lovestone, Magda Tsolaki, Iwona Kłoszewska, Bruno Vellas, Patrizia Mecocci, Richard Dobson, Latha Velayudhan and Andrew Simmons and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Michelle K. Lupton

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle K. Lupton Australia 19 536 450 186 154 150 34 1.1k
Nobuto Shibata Japan 21 529 1.0× 564 1.3× 183 1.0× 251 1.6× 138 0.9× 101 1.6k
Suk Ling Hong Kong 19 443 0.8× 326 0.7× 142 0.8× 137 0.9× 111 0.7× 65 1.1k
Andrea Tedde Italy 24 455 0.8× 490 1.1× 237 1.3× 157 1.0× 96 0.6× 67 1.3k
Vanessa de Jesus Rodrigues de Paula Brazil 17 371 0.7× 588 1.3× 263 1.4× 325 2.1× 167 1.1× 37 1.4k
Becky C. Carlyle United States 23 682 1.3× 463 1.0× 268 1.4× 119 0.8× 266 1.8× 48 1.5k
Yulei Deng China 20 338 0.6× 386 0.9× 128 0.7× 207 1.3× 173 1.2× 48 987
Eloy Rodríguez‐Rodríguez Spain 27 700 1.3× 670 1.5× 201 1.1× 290 1.9× 254 1.7× 99 1.9k
Petra Nowotny United States 17 582 1.1× 595 1.3× 163 0.9× 150 1.0× 133 0.9× 33 1.2k
Humberto Arboleda Colombia 20 526 1.0× 255 0.6× 163 0.9× 122 0.8× 71 0.5× 49 1.1k
Vassiliki Costa Greece 17 313 0.6× 463 1.0× 236 1.3× 119 0.8× 253 1.7× 48 1.1k

Countries citing papers authored by Michelle K. Lupton

Since Specialization
Citations

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

Fields of papers citing papers by Michelle K. Lupton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle K. Lupton

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle K. Lupton. A scholar is included among the top collaborators of Michelle K. Lupton 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 Michelle K. Lupton. Michelle K. Lupton 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.
Fürtjes, Anna E., Donncha S. Mullin, John D. Fisk, et al.. (2025). Uncovering the multivariate genetic architecture of frailty with genomic structural equation modeling. Nature Genetics. 57(8). 1848–1859.
2.
Couvy‐Duchesne, Baptiste, Vincent Bouteloup, Julia Sidorenko, et al.. (2025). Grey‐Matter Structure Markers of Alzheimer's Disease, Alzheimer's Conversion, Functioning and Cognition: A Meta‐Analysis Across 11 Cohorts. Human Brain Mapping. 46(2). e70089–e70089. 3 indexed citations
3.
Thienel, Renate, Anna Behler, G. A. Robinson, et al.. (2024). Can an online battery match in-person cognitive testing in providing information about age-related cortical morphology?. Brain Imaging and Behavior. 18(5). 1215–1225. 1 indexed citations
4.
Behler, Anna, Bryan Paton, Joseph Giorgio, et al.. (2024). A central role of sulcal width in the associations of sleep duration and depression with cognition in mid to late life. SLEEP Advances. 5(1). zpae058–zpae058. 1 indexed citations
5.
Stewart, Romal, Lotta E. Oikari, Tam Nguyen, et al.. (2024). Advanced patient-specific microglia cell models for pre-clinical studies in Alzheimer’s disease. Journal of Neuroinflammation. 21(1). 50–50. 12 indexed citations
6.
Thorp, Jackson G., Sahba Seddighi, Sean Mullany, et al.. (2023). Disentangling the genetic overlap and causal relationships between primary open-angle glaucoma, brain morphology and four major neurodegenerative disorders. EBioMedicine. 92. 104615–104615. 12 indexed citations
7.
Tian, Ye, Michelle K. Lupton, J. van der Meer, et al.. (2023). Functional re-organization of hippocampal-cortical gradients during naturalistic memory processes. NeuroImage. 271. 119996–119996. 9 indexed citations
8.
Mitchell, Brittany L., Kerrie McAloney, Luis M. García‐Marín, et al.. (2023). The Effect of Genetic Predisposition to Alzheimer’s Disease and Related Traits on Recruitment Bias in a Study of Cognitive Aging. Twin Research and Human Genetics. 26(3). 209–214. 1 indexed citations
9.
Mitchell, Brittany L., Jake Saklatvala, Nick Dand, et al.. (2022). Genome-wide association meta-analysis identifies 29 new acne susceptibility loci. Nature Communications. 13(1). 702–702. 27 indexed citations
10.
Colodro‐Conde, Lucía, Luis M. García‐Marín, Chloe X. Yap, et al.. (2022). Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study. European Archives of Psychiatry and Clinical Neuroscience. 273(6). 1359–1368. 1 indexed citations
11.
Thorp, Jackson G., Brittany L. Mitchell, Zachary F. Gerring, et al.. (2022). Genetic evidence that the causal association of educational attainment with reduced risk of Alzheimer's disease is driven by intelligence. Neurobiology of Aging. 119. 127–135. 6 indexed citations
12.
Campos, Adrián I., Luis M. García‐Marín, Gabriel Cuéllar-Partida, et al.. (2021). Comorbid Chronic Pain and Depression: Shared Risk Factors and Differential Antidepressant Effectiveness. Frontiers in Psychiatry. 12. 643609–643609. 82 indexed citations
13.
Kim, Min, Alejo Nevado‐Holgado, Luke Whiley, et al.. (2016). Association between Plasma Ceramides and Phosphatidylcholines and Hippocampal Brain Volume in Late Onset Alzheimer’s Disease. Journal of Alzheimer s Disease. 60(3). 809–817. 73 indexed citations
14.
Proitsi, Petroula, Michelle K. Lupton, Latha Velayudhan, et al.. (2014). Genetic Predisposition to Increased Blood Cholesterol and Triglyceride Lipid Levels and Risk of Alzheimer Disease: A Mendelian Randomization Analysis. PLoS Medicine. 11(9). e1001713–e1001713. 66 indexed citations
15.
Sassi, Celeste, Rita Guerreiro, J. Raphael Gibbs, et al.. (2014). Exome sequencing identifies 2 novel presenilin 1 mutations (p.L166V and p.S230R) in British early-onset Alzheimer's disease. Neurobiology of Aging. 35(10). 2422.e13–2422.e16. 30 indexed citations
16.
Lunnon, Katie, Martina Sattlecker, Simon J. Furney, et al.. (2013). A Blood Gene Expression Marker of Early Alzheimer's Disease. Journal of Alzheimer s Disease. 33(3). 737–753. 69 indexed citations
17.
Kiddle, Steven J., Madhav Thambisetty, Andrew Simmons, et al.. (2012). Plasma Based Markers of [11C] PiB-PET Brain Amyloid Burden. PLoS ONE. 7(9). e44260–e44260. 68 indexed citations
18.
Fogh, Isabella, Sandra D’Alfonso, Cinzia Gellera, et al.. (2009). No association of DPP6 with amyotrophic lateral sclerosis in an Italian population. Neurobiology of Aging. 32(5). 966–967. 18 indexed citations
19.
Lupton, Michelle K., Daniel Ståhl, Nicola Archer, et al.. (2009). Education, occupation and retirement age effects on the age of onset of Alzheimer's disease. International Journal of Geriatric Psychiatry. 25(1). 30–36. 30 indexed citations
20.
Woodman, Ben, Rachel Butler, Christian Landles, et al.. (2006). The HdhQ150/Q150 knock-in mouse model of HD and the R6/2 exon 1 model develop comparable and widespread molecular phenotypes. Brain Research Bulletin. 72(2-3). 83–97. 131 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026