Daniela Corongiu

1.2k citations
12 papers · 249 · h-index 8

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Hereditary Neurological Disorders
    • Genetic Neurodegenerative Diseases

Papers in

Daniela Corongiu

11 papers receiving 243 citations

Peers

Daniela Corongiu
Comparison fields: 5 of 45
  • Neurology 102
  • Neurology 38
  • Cellular and Molecular Neuroscience 58
  • Pathology and Forensic Medicine 48
  • Clinical Biochemistry 14
Replace Elly F. Ippel with:
Elly F. Ippel Netherlands
Wai Yan Yau Australia
Antoine Duquette Canada
Qirui Jiang China
Matias Ryding Denmark
Gong‐Lu Liu China
Jenna R. Gale United States
Kevin Garofalo United States
Rosa Campopiano Italy
K. Mao China
Daniela Corongiu relative to Elly F. Ippel Netherlands Elly F. Ippel's profile →
Citations per field
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Elly F. Ippel · 1×
Citations per year

Countries citing papers authored by Daniela Corongiu

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Corongiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Corongiu, 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 Daniela Corongiu Line = papers co-authored together Daniela Corongiu links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200863
2 201447
3 201233
4 201031
5 200823
6 200619
7 201411
8 20179
9 20155
10 20104
11 20154
12 20160

About Daniela Corongiu

Daniela Corongiu is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Pathology and Forensic Medicine and Physiology, having authored 12 papers that have together received 249 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Hereditary Neurological Disorders (3 papers), Alzheimer's disease research and treatments (2 papers), Neurological diseases and metabolism (2 papers), Banana Cultivation and Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Neurology (102 citations), Neurology (38 citations), Cellular and Molecular Neuroscience (58 citations), Pathology and Forensic Medicine (48 citations) and Clinical Biochemistry (14 citations). Daniela Corongiu has collaborated with scholars based in Italy, Germany and Finland. Frequent co-authors include Maria Giovanna Marrosu, Maria Rita Murru, Stefania Tranquilli, Stefania Cuccu, Gianluca Floris, Francesco Marrosu, Antonino Cannas, Paolo Solla, Eleonora Cocco and Francesca Di Stefano. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Neurological Sciences, PLoS ONE, Parkinson s Disease and Parkinsonism & Related Disorders.

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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