Claudia Capitini
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
-
- Neurogenetic and Muscular Disorders Research
Papers in
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- Lipid Membrane Structure and Behavior 6
- Protein Structure and Dynamics 3
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- Alzheimer's disease research and treatments 8
- Co-authors
- Roberta Cascella (5 shared papers)Cristina Cecchi (6 shared papers)Fabrizio Chiti (4 shared papers)Giulia Fani (5 shared papers)Fabrizio Chiti (10 shared papers)Christopher M. Dobson (2 shared papers)Annalisa Relini (6 shared papers)Martino Calamai (12 shared papers)
- Journals
- The FASEB Journal (3 papers)Amyloid (1 paper)iScience (1 paper)Journal of Medicinal Chemistry (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Claudia Capitini
19 papers receiving 405 citations
Peers
Comparison fields: 5 of 63
- Neurology 159
- Genetics 62
- Biophysics 28
- Physiology 112
- Neurology 26
Countries citing papers authored by Claudia Capitini
This map shows the geographic impact of Claudia Capitini'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 Capitini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Capitini more than expected).
Fields of papers citing papers by Claudia Capitini
This network shows the impact of papers produced by Claudia Capitini. 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 Capitini. The network helps show where Claudia Capitini may publish in the future.
Co-authors
The 25 scholars most cited alongside Claudia Capitini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 74 | |
| 2 | 2014 | 69 | |
| 3 | 2018 | 36 | |
| 4 | 2017 | 32 | |
| 5 | 2018 | 26 | |
| 6 | 2019 | 24 | |
| 7 | 2020 | 23 | |
| 8 | 2021 | 20 | |
| 9 | 2024 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2020 | 11 | |
| 13 | 2023 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2018 | 1 | |
| 20 | 2025 | 0 |
About Claudia Capitini
Claudia Capitini is a scholar working on Molecular Biology, Physiology, Neurology, Biomaterials and Cell Biology, having authored 21 papers that have together received 407 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Lipid Membrane Structure and Behavior (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Cellular transport and secretion (3 papers), Protein Structure and Dynamics (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Neurology (159 citations), Genetics (62 citations), Biophysics (28 citations), Physiology (112 citations) and Neurology (26 citations). Claudia Capitini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Roberta Cascella, Cristina Cecchi, Fabrizio Chiti, Giulia Fani, Fabrizio Chiti, Christopher M. Dobson, Annalisa Relini, Martino Calamai, Amanda Penco and Claudio Canale. Their work appears in journals such as The FASEB Journal, Amyloid, iScience, Journal of Medicinal Chemistry and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.