Assunta Ingannato

588 citations
32 papers · 289 · h-index 9

Impact in

    • Dementia and Cognitive Impairment Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

Assunta Ingannato

29 papers receiving 288 citations

Peers

Assunta Ingannato
Comparison fields: 5 of 71
  • Psychiatry and Mental health 111
  • Neurology 42
  • Physiology 117
  • Geriatrics and Gerontology 16
  • Neurology 49
Replace José María Gónzalez‐de‐Echávarri with:
José María Gónzalez‐de‐Echávarri Spain
Miren Altuna Spain
Helen Beaumont United Kingdom
Dana Sacco United States
Guadalupe Fernández‐Villullas Spain
Elles Konijnenberg Netherlands
Rachel L. Henson United States
Sanna-Kaisa Herukka Finland
Maryline Simon Switzerland
Sara López‐García Spain
Assunta Ingannato relative to José María Gónzalez‐de‐Echávarri Spain José María Gónzalez‐de‐Echávarri's profile →
Citations per field
00.5×3.2×
José María Gónzalez‐de‐Echávarri · 1×
Citations per year

Countries citing papers authored by Assunta Ingannato

Since Specialization
Citations

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

Fields of papers citing papers by Assunta Ingannato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

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About Assunta Ingannato

Assunta Ingannato is a scholar working on Physiology, Psychiatry and Mental health, Neurology, Molecular Biology and Cognitive Neuroscience, having authored 32 papers that have together received 289 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Dementia and Cognitive Impairment Research (14 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Epigenetics and DNA Methylation (3 papers), Neurobiology of Language and Bilingualism (3 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Psychiatry and Mental health (111 citations), Neurology (42 citations), Physiology (117 citations), Geriatrics and Gerontology (16 citations) and Neurology (49 citations). Assunta Ingannato has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Benedetta Nacmias, Silvia Bagnoli, Sandro Sorbi, Salvatore Mazzeo, Giulia Giacomucci, Valentina Bessi, Camilla Ferrari, Sonia Padiglioni, Valentina Berti and Cristina Polito. Their work appears in journals such as Neurology, Journal of Personalized Medicine, Journal of the Neurological Sciences, Alzheimer s & Dementia and International Journal of Molecular Sciences.

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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