Rita Cacace

1.3k total citations · 1 hit paper
16 papers, 787 citations indexed

About

Rita Cacace is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Rita Cacace has authored 16 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Neurology. Recurrent topics in Rita Cacace's work include Alzheimer's disease research and treatments (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Trace Elements in Health (3 papers). Rita Cacace is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Trace Elements in Health (3 papers). Rita Cacace collaborates with scholars based in Belgium, Netherlands and Italy. Rita Cacace's co-authors include Christine Van Broeckhoven, Kristel Sleegers, Jasper Van Dongen, Sebastiaan Engelborghs, Julie van der Zee, Arne De Roeck, Rik Vandenberghe, Peter Paul De Deyn, Patrick Cras and Tobi Van den Bossche and has published in prestigious journals such as Genome biology, Molecular Psychiatry and Acta Neuropathologica.

In The Last Decade

Rita Cacace

14 papers receiving 776 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.

Molecular genetics of early‐onset Alzheimer's disease revisited

2016 405 citations Rita Cacace, Kristel Sleegers et al. Alzheimer s & Dementia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rita Cacace Belgium	10	402	352	147	123	122	16	787
Zhong‐Chen Wu China	15	408 1.0×	320 0.9×	94 0.6×	115 0.9×	90 0.7×	20	682
Mariet Allen United States	17	391 1.0×	328 0.9×	136 0.9×	154 1.3×	61 0.5×	40	697
Shabnam Baig United Kingdom	9	616 1.5×	289 0.8×	62 0.4×	183 1.5×	194 1.6×	11	922
J. Nicholas Cochran United States	12	316 0.8×	291 0.8×	129 0.9×	91 0.7×	139 1.1×	24	617
Amanda T. Jeng United States	6	475 1.2×	307 0.9×	55 0.4×	194 1.6×	205 1.7×	9	726
Jérôme Braudeau France	10	328 0.8×	331 0.9×	66 0.4×	171 1.4×	128 1.0×	20	726
Sébastien Feuillette France	10	717 1.8×	572 1.6×	265 1.8×	119 1.0×	244 2.0×	11	1.2k
Qiuyang Zheng China	12	271 0.7×	363 1.0×	77 0.5×	159 1.3×	120 1.0×	16	771
Kevin P. Koster United States	11	395 1.0×	236 0.7×	37 0.3×	182 1.5×	135 1.1×	17	697

Countries citing papers authored by Rita Cacace

Since Specialization

Citations

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

Fields of papers citing papers by Rita Cacace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Cacace

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

All Works

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16 of 16 papers shown

Cacace, Rita, et al.. (2025). Investigation of the role of miRNA variants in neurodegenerative brain diseases. Frontiers in Genetics. 16. 1506169–1506169.

Cacace, Rita, et al.. (2024). Pyridostigmine as a therapeutic option for pediatric gastrointestinal dysmotilities in ATR-X syndrome. Case report and literature review. Frontiers in Pediatrics. 12. 1460658–1460658.

Cacace, Rita, Arjan Buist, Anne Sieben, et al.. (2023). Mutated Toll-like receptor 9 increases Alzheimer’s disease risk by compromising innate immunity protection. Molecular Psychiatry. 28(12). 5380–5389. 7 indexed citations

Cacace, Rita, et al.. (2022). Rare missense mutations in ABCA7 might increase Alzheimer’s disease risk by plasma membrane exclusion. Acta Neuropathologica Communications. 10(1). 43–43. 16 indexed citations

Cacace, Rita, et al.. (2022). The role of ATP-binding cassette subfamily A in the etiology of Alzheimer’s disease. Molecular Neurodegeneration. 17(1). 31–31. 39 indexed citations

Engelborghs, Sebastiaan, et al.. (2021). Investigation of the role of matrix metalloproteinases in the genetic etiology of Alzheimer's disease. Neurobiology of Aging. 104. 105.e1–105.e6. 9 indexed citations

Cacace, Rita, et al.. (2021). Insight into the genetic etiology of Alzheimer's disease: A comprehensive review of the role of rare variants. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 13(1). e12155–e12155. 61 indexed citations

Cacace, Rita, et al.. (2021). Genetic variants in progranulin upstream open reading frames increase downstream protein expression. Neurobiology of Aging. 110. 113–121. 2 indexed citations

Perrone, Federica, Rita Cacace, Julie van der Zee, & Christine Van Broeckhoven. (2021). Emerging genetic complexity and rare genetic variants in neurodegenerative brain diseases. Genome Medicine. 13(1). 22 indexed citations

10.

Engelborghs, Sebastiaan, Rik Vandenberghe, Rita Cacace, et al.. (2020). Contribution of homozygous and compound heterozygous missense mutations in VWA2 to Alzheimer’s disease. Neurobiology of Aging. 99. 100.e17–100.e23. 8 indexed citations

11.

Cacace, Rita, Arjan Buist, Patrick Cras, et al.. (2020). A family‐based genetic study identifies mutations in TLR9 impairing receptor activation: A role for innate immunity in AD pathogenesis. Alzheimer s & Dementia. 16(S3). 3 indexed citations

12.

Roeck, Arne De, Wouter De Coster, Rita Cacace, et al.. (2019). NanoSatellite: accurate characterization of expanded tandem repeat length and sequence through whole genome long-read sequencing on PromethION. Genome biology. 20(1). 239–239. 68 indexed citations

13.

Perrone, Federica, Rita Cacace, Sara Van Mossevelde, et al.. (2018). Genetic screening in early-onset dementia patients with unclear phenotype: relevance for clinical diagnosis. Neurobiology of Aging. 69. 292.e7–292.e14. 22 indexed citations

14.

Roeck, Arne De, Jasper Van Dongen, Rita Cacace, et al.. (2018). An intronic VNTR affects splicing of ABCA7 and increases risk of Alzheimer’s disease. Acta Neuropathologica. 135(6). 827–837. 63 indexed citations

15.

Cacace, Rita, Kristel Sleegers, & Christine Van Broeckhoven. (2016). Molecular genetics of early‐onset Alzheimer's disease revisited. Alzheimer s & Dementia. 12(6). 733–748. 405 indexed citations breakdown →

16.

Cacace, Rita, Caroline Van Cauwenberghe, Karolien Bettens, et al.. (2013). C9orf72 G4C2 repeat expansions in Alzheimer's disease and mild cognitive impairment. Neurobiology of Aging. 34(6). 1712.e1–1712.e7. 62 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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