Elise Cuyvers

1.7k total citations
8 papers, 580 citations indexed

About

Elise Cuyvers is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Elise Cuyvers has authored 8 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Elise Cuyvers's work include Alzheimer's disease research and treatments (4 papers), Genetic Associations and Epidemiology (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Elise Cuyvers is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Genetic Associations and Epidemiology (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Elise Cuyvers collaborates with scholars based in Belgium, Netherlands and Germany. Elise Cuyvers's co-authors include Kristel Sleegers, Christine Van Broeckhoven, Rik Vandenberghe, Sebastiaan Engelborghs, Karolien Bettens, Mathieu Vandenbulcke, Karin Peeters, Peter P. De Deyn, Maria Mattheijssens and Jasper Van Dongen and has published in prestigious journals such as The Lancet Neurology, Neurobiology of Aging and Alzheimer s & Dementia.

In The Last Decade

Elise Cuyvers

7 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elise Cuyvers Belgium 6 300 230 195 126 111 8 580
Mariet Allen United States 17 391 1.3× 328 1.4× 154 0.8× 136 1.1× 49 0.4× 40 697
Zhong‐Chen Wu China 15 408 1.4× 320 1.4× 115 0.6× 94 0.7× 96 0.9× 20 682
Selina Imboywa United States 4 363 1.2× 233 1.0× 301 1.5× 44 0.3× 108 1.0× 5 625
Jérôme Braudeau France 10 328 1.1× 331 1.4× 171 0.9× 66 0.5× 44 0.4× 20 726
Anna Podlesny‐Drabiniok France 8 153 0.5× 159 0.7× 144 0.7× 56 0.4× 51 0.5× 9 394
Minerva M. Carrasquillo United States 9 295 1.0× 266 1.2× 68 0.3× 147 1.2× 22 0.2× 13 479
Aoife Keohane United Kingdom 7 214 0.7× 316 1.4× 188 1.0× 37 0.3× 47 0.4× 13 618
Christopher Medway United Kingdom 10 183 0.6× 230 1.0× 55 0.3× 101 0.8× 26 0.2× 15 486
Amanda T. Jeng United States 6 475 1.6× 307 1.3× 194 1.0× 55 0.4× 38 0.3× 9 726
Masaaki Hokama Japan 6 251 0.8× 336 1.5× 103 0.5× 55 0.4× 23 0.2× 9 599

Countries citing papers authored by Elise Cuyvers

Since Specialization
Citations

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

Fields of papers citing papers by Elise Cuyvers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elise Cuyvers

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

All Works

8 of 8 papers shown
1.
Cuyvers, Elise & Kristel Sleegers. (2016). Genetic variations underlying Alzheimer's disease: evidence from genome-wide association studies and beyond. The Lancet Neurology. 15(8). 857–868. 202 indexed citations
2.
Schröter, Friederike, Kristel Sleegers, Elise Cuyvers, et al.. (2016). Lymphoblast-derived integration-free iPS cell line from a female 67-year-old Alzheimer's disease patient with TREM2 (R47H) missense mutation. Stem Cell Research. 17(3). 553–555. 5 indexed citations
3.
Schröter, Friederike, Kristel Sleegers, Elise Cuyvers, et al.. (2015). Lymphoblast-derived integration-free iPS cell line from a 65-year-old Alzheimer's disease patient expressing the TREM2 p.R47H variant. Stem Cell Research. 16(1). 113–115. 6 indexed citations
4.
Sleegers, Kristel, Karolien Bettens, Arne De Roeck, et al.. (2015). A 22‐single nucleotide polymorphism Alzheimer's disease risk score correlates with family history, onset age, and cerebrospinal fluid Aβ42. Alzheimer s & Dementia. 11(12). 1452–1460. 71 indexed citations
5.
Cuyvers, Elise, Arne De Roeck, Tobi Van den Bossche, et al.. (2015). Mutations in ABCA7 in a Belgian cohort of Alzheimer's disease patients: a targeted resequencing study. The Lancet Neurology. 14(8). 814–822. 98 indexed citations
6.
Gusareva, Elena S., Minerva M. Carrasquillo, Céline Bellenguez, et al.. (2014). Genome-wide association interaction analysis for Alzheimer's disease. Neurobiology of Aging. 35(11). 2436–2443. 50 indexed citations
7.
Bettens, Karolien, Caroline Van Cauwenberghe, Elise Cuyvers, et al.. (2014). O4‐04‐03: HIGH SCORES ON A 22‐GENE RISK SCORE FOR ALZHEIMER'S DEMENTIA CORRELATE WITH EARLIER ONSET AGE AND REDUCED CSF Aβ. Alzheimer s & Dementia. 10(4S_Part_4).
8.
Cuyvers, Elise, Karolien Bettens, Stéphanie Philtjens, et al.. (2013). Investigating the role of rare heterozygous TREM2 variants in Alzheimer's disease and frontotemporal dementia. Neurobiology of Aging. 35(3). 726.e11–726.e19. 148 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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