Chiara Zecca
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research 12
- Neurological diseases and metabolism 5
- Parkinson's Disease Mechanisms and Treatments 4
- Physiology top 10%
- Alzheimer's disease research and treatments 16
- Adipose Tissue and Metabolism 5
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research 12
- Neurological diseases and metabolism 5
- Parkinson's Disease Mechanisms and Treatments 4
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- Stress Responses and Cortisol 4
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- Dementia and Cognitive Impairment Research 11
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- Neurogenetic and Muscular Disorders Research 4
- Co-authors
- Giancarlo LogroscinoMaria Rosaria BarulliMaria Teresa Dell’AbateRosanna TortelliRosa CapozzoDavide SeripaFrancesco PanzaSilvia Colucci
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Chiara Zecca
38 papers receiving 600 citations
Peers
Comparison fields: 5 of 90
- Neurology 114
- Physiology 334
- Biological Psychiatry 30
- Neurology 174
- Behavioral Neuroscience 23
Countries citing papers authored by Chiara Zecca
This map shows the geographic impact of Chiara Zecca'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 Chiara Zecca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Zecca more than expected).
Fields of papers citing papers by Chiara Zecca
This network shows the impact of papers produced by Chiara Zecca. 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 Chiara Zecca. The network helps show where Chiara Zecca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chiara Zecca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 57 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 30 | |
| 18 | 2019 | 10 | |
| 19 | 2018 | 19 | |
| 20 | 2015 | 1 |
About Chiara Zecca
Chiara Zecca is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Neurology, having authored 42 papers that have together received 608 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Amyotrophic Lateral Sclerosis Research (12 papers), Dementia and Cognitive Impairment Research (11 papers), Neurological diseases and metabolism (5 papers), Adipose Tissue and Metabolism (5 papers), Stress Responses and Cortisol (4 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Neurology (114 citations), Physiology (334 citations) and Biological Psychiatry (30 citations). Chiara Zecca has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giancarlo Logroscino, Maria Rosaria Barulli, Maria Teresa Dell’Abate, Rosanna Tortelli, Rosa Capozzo, Davide Seripa, Francesco Panza, Silvia Colucci, Patrizia Pignataro and Roberta Zerlotin. Their work appears in journals such as Neurology, Annals of Neurology and Scientific Reports.
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.