Rita Cacace

14 papers receiving 776 citations

Rita Cacace's Hit Papers

Molecular genetics of early‐onset Alzheimer's disease revisited 2016 · 405 citations
4050+3+6Years since publication100200300400

Peers

Rita Cacace
Comparison fields: 5 of 89
  • Biological Psychiatry 55
  • Physiology 402
  • Neurology 123
  • Neurology 113
  • Cellular and Molecular Neuroscience 122
Replace Shabnam Baig with:
Shabnam Baig United Kingdom
Zhong‐Chen Wu China
Mariet Allen United States
Claudia Saraceno Italy
Qiuyang Zheng China
Amanda T. Jeng United States
Zhengwei Hu China
J. Nicholas Cochran United States
Kevin P. Koster United States
Rita Cacace relative to Shabnam Baig United Kingdom Shabnam Baig's profile →
Citations per field
00.5×3.5×
Shabnam Baig · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Rita Cacace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rita Cacace Line = papers co-authored together Rita Cacace links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Molecular genetics of early‐onset Alzheimer's disease revisited
Hit paper breakdown →
2016405
2 201968
3 201863
4 201362
5 202161
6 202239
7 201822
8 202122
9 202216
10 20219
11 20208
12 20237
13 20203
14 20212
15 20240
16 20250

About Rita Cacace

Rita Cacace is a scholar working on Molecular Biology, Physiology, Neurology, Oncology and Nutrition and Dietetics, having authored 16 papers that have together received 787 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Trace Elements in Health (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), RNA Research and Splicing (2 papers), Cholesterol and Lipid Metabolism (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (55 citations), Physiology (402 citations), Neurology (123 citations), Neurology (113 citations) and Cellular and Molecular Neuroscience (122 citations). Rita Cacace has collaborated with scholars based in Belgium, Netherlands and Italy. Frequent co-authors include Christine Van Broeckhoven, Kristel Sleegers, Jasper Van Dongen, Sebastiaan Engelborghs, Julie van der Zee, Arne De Roeck, Peter Paul De Deyn, Rik Vandenberghe, Patrick Cras and Tobi Van den Bossche. Their work appears in journals such as Neurobiology of Aging, Alzheimer s & Dementia, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Acta Neuropathologica Communications and Frontiers in Pediatrics.

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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