Petroula Proitsi

31.4k total citations
63 papers, 3.0k citations indexed

About

Petroula Proitsi is a scholar working on Physiology, Molecular Biology and Genetics. According to data from OpenAlex, Petroula Proitsi has authored 63 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Physiology, 28 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Petroula Proitsi's work include Alzheimer's disease research and treatments (26 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Genetic Associations and Epidemiology (12 papers). Petroula Proitsi is often cited by papers focused on Alzheimer's disease research and treatments (26 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Genetic Associations and Epidemiology (12 papers). Petroula Proitsi collaborates with scholars based in United Kingdom, Italy and Finland. Petroula Proitsi's co-authors include Simon Lovestone, John Powell, Magda Tsolaki, Bruno Vellas, Patrizia Mecocci, Iwona Kłoszewska, Hilkka Soininen, Richard Dobson, Latha Velayudhan and Andrew Simmons and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Petroula Proitsi

59 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
Petroula Proitsi United Kingdom 35 1.3k 1.3k 548 434 384 63 3.0k
Jiong Shi United States 27 1.1k 0.9× 813 0.6× 492 0.9× 492 1.1× 242 0.6× 79 2.9k
Nilüfer Ertekin‐Taner United States 30 1.6k 1.2× 1.2k 0.9× 646 1.2× 453 1.0× 578 1.5× 108 2.8k
Huidong Tang China 29 1.1k 0.8× 1.2k 0.9× 433 0.8× 417 1.0× 169 0.4× 89 2.8k
Maria Barcikowska Poland 36 1.7k 1.3× 1.5k 1.2× 718 1.3× 823 1.9× 255 0.7× 161 3.8k
Lin Tan China 31 1.6k 1.2× 1.5k 1.2× 1.2k 2.1× 836 1.9× 263 0.7× 85 4.6k
Lynn M. Bekris United States 26 1.3k 1.0× 1.0k 0.8× 282 0.5× 910 2.1× 261 0.7× 52 3.0k
Liying Han China 21 1.4k 1.1× 943 0.7× 420 0.8× 587 1.4× 109 0.3× 51 3.2k
Luisa Benussi Italy 39 2.3k 1.8× 1.7k 1.4× 726 1.3× 953 2.2× 305 0.8× 138 5.0k
Xi‐Chen Zhu China 27 1.2k 0.9× 808 0.6× 407 0.7× 630 1.5× 147 0.4× 48 2.8k
Michael S. Rafii United States 33 1.7k 1.3× 979 0.8× 1.3k 2.4× 599 1.4× 389 1.0× 112 4.8k

Countries citing papers authored by Petroula Proitsi

Since Specialization
Citations

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

Fields of papers citing papers by Petroula Proitsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petroula Proitsi. 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 Petroula Proitsi. The network helps show where Petroula Proitsi may publish in the future.

Co-authorship network of co-authors of Petroula Proitsi

This figure shows the co-authorship network connecting the top 25 collaborators of Petroula Proitsi. A scholar is included among the top collaborators of Petroula Proitsi 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 Petroula Proitsi. Petroula Proitsi 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.
Mutz, Julian, Pirro G. Hysi, Cristina Legido‐Quigley, et al.. (2025). Evaluating metabolome-wide causal effects on risk for psychiatric and neurodegenerative disorders. BMC Medicine. 23(1). 326–326. 1 indexed citations
2.
Jacobs, Benjamin M., Nicola Vickaryous, Gavin Giovannoni, et al.. (2024). Plasma proteomic profiles of UK Biobank participants with multiple sclerosis. Annals of Clinical and Translational Neurology. 11(3). 698–709. 3 indexed citations
3.
Waters, Sheena, et al.. (2024). Marital dissolution and cognition: The mediating effect of Aβ neuropathology. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(4). e70032–e70032. 1 indexed citations
4.
Lord, Jodie, Bradley Jermy, Rebecca Green, et al.. (2021). Mendelian randomization identifies blood metabolites previously linked to midlife cognition as causal candidates in Alzheimer’s disease. Proceedings of the National Academy of Sciences. 118(16). 47 indexed citations
5.
Green, Rebecca, Jodie Lord, Jin Xu, et al.. (2021). Metabolic correlates of late midlife cognitive outcomes: findings from the 1946 British Birth Cohort. Brain Communications. 4(1). fcab291–fcab291. 7 indexed citations
6.
Lord, Jodie, Anna Zettergren, Nicholas J. Ashton, et al.. (2021). A genome-wide association study of plasma phosphorylated tau181. Neurobiology of Aging. 106. 304.e1–304.e3. 6 indexed citations
7.
Handy, Álex, Jodie Lord, Rebecca Green, et al.. (2021). Assessing Genetic Overlap and Causality Between Blood Plasma Proteins and Alzheimer’s Disease. Journal of Alzheimer s Disease. 83(4). 1825–1839. 6 indexed citations
8.
Lucia, Chiara de, Tytus Murphy, Claire J. Steves, et al.. (2020). Lifestyle mediates the role of nutrient-sensing pathways in cognitive aging: cellular and epidemiological evidence. Communications Biology. 3(1). 157–157. 31 indexed citations
9.
Xu, Jin, Min Kim, Asger Wretlind, et al.. (2020). Integrated lipidomics and proteomics network analysis highlights lipid and immunity pathways associated with Alzheimer’s disease. Translational Neurodegeneration. 9(1). 36–36. 44 indexed citations
10.
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
11.
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
12.
Sattlecker, Martina, Steven J. Kiddle, Stephen Newhouse, et al.. (2014). Alzheimer's disease biomarker discovery using SOMAscan multiplexed protein technology. Alzheimer s & Dementia. 10(6). 724–734. 144 indexed citations
13.
Kiddle, Steven J., Martina Sattlecker, Petroula Proitsi, et al.. (2013). Candidate Blood Proteome Markers of Alzheimer's Disease Onset and Progression: A Systematic Review and Replication Study. Journal of Alzheimer s Disease. 38(3). 515–531. 134 indexed citations
14.
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
15.
Whiley, Luke, Arundhuti Sen, James Heaton, et al.. (2013). Evidence of altered phosphatidylcholine metabolism in Alzheimer's disease. Neurobiology of Aging. 35(2). 271–278. 250 indexed citations
16.
Furney, Simon J., Deborah Kronenberg‐Versteeg, Andrew Simmons, et al.. (2011). Combinatorial Markers of Mild Cognitive Impairment Conversion to Alzheimer's Disease - Cytokines and MRI Measures Together Predict Disease Progression. Journal of Alzheimer s Disease. 26(s3). 395–405. 42 indexed citations
17.
Velayudhan, Latha, Michaela Poppe, Nicola Archer, et al.. (2009). Risk of developing dementia in people with diabetes and mild cognitive impairment. The British Journal of Psychiatry. 196(1). 36–40. 109 indexed citations
18.
Smillie, Luke D., Andrew Cooper, Petroula Proitsi, John Powell, & Alan D. Pickering. (2009). Variation in DRD2 dopamine gene predicts Extraverted personality. Neuroscience Letters. 468(3). 234–237. 49 indexed citations
19.
Raznahan, Armin, Roberto Toro, Petroula Proitsi, et al.. (2009). A functional polymorphism of the brain derived neurotrophic factor gene and cortical anatomy in autism spectrum disorder. Journal of Neurodevelopmental Disorders. 1(3). 215–223. 38 indexed citations
20.
Hamilton, Gillian, Petroula Proitsi, Luke Jehu, et al.. (2007). Candidate gene association study of insulin signaling genes and Alzheimer's disease: Evidence for SOS2, PCK1, and PPARγ as susceptibility loci. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 144B(4). 508–516. 55 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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