Claudia Cacciari

497 citations
13 papers · 400 · h-index 11

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 3
    • Long-Term Effects of COVID-19 2
    • Neurological Disease Mechanisms and Treatments 2
    • Dementia and Cognitive Impairment Research 2

Claudia Cacciari

13 papers receiving 396 citations

Peers

Claudia Cacciari
Comparison fields: 5 of 72
  • Biological Psychiatry 37
  • Psychiatry and Mental health 104
  • Neurology 58
  • Cognitive Neuroscience 119
  • Neurology 61
Replace Matthew J. Wynn with:
Matthew J. Wynn United States
James D. Stefaniak United Kingdom
Samantha Walters United States
Dan Zhu China
Luoyi Xu China
Kuniaki Kiuchi Japan
Minna Husso-Saastamoinen Finland
Anja Teuber Germany
Eun Hye Jang South Korea
Satoshi Kodama Japan
Claudia Cacciari relative to Matthew J. Wynn United States Matthew J. Wynn's profile →
Citations per field
00.5×10×12.7×
Matthew J. Wynn · 1×
Citations per year

Countries citing papers authored by Claudia Cacciari

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Cacciari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201353
2 201051
3 201349
4 200948
5 201444
6 201037
7 201434
8 201619
9 201118
10 201318
11 201518
12 20129
13 20152

About Claudia Cacciari

Claudia Cacciari is a scholar working on Neurology, Psychiatry and Mental health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 13 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Dementia and Cognitive Impairment Research (2 papers), Long-Term Effects of COVID-19 (2 papers), Tryptophan and brain disorders (2 papers), Functional Brain Connectivity Studies (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Biological Psychiatry (37 citations), Psychiatry and Mental health (104 citations), Neurology (58 citations), Cognitive Neuroscience (119 citations) and Neurology (61 citations). Claudia Cacciari has collaborated with scholars based in Italy and United States. Frequent co-authors include Gianfranco Spalletta, Carlo Caltagirone, Maria Donata Orfei, Fabrizio Piras, Mariangela Iorio, Francesca Assogna, Livio Picchetto, Francesco Orzi, Maurizia Rasura and Andrea Cherubini. Their work appears in journals such as Journal of Alzheimer s Disease, Applied Cognitive Psychology, Parkinsonism & Related Disorders, Current Neurovascular Research and Alzheimer Disease & Associated 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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