Benedetta Mannini
- Physiology top 2%
- Alzheimer's disease research and treatments 28
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms 3
- Molecular Biology top 5%
- Protein Structure and Dynamics 10
- Amyloidosis: Diagnosis, Treatment, Outcomes 3
- Prion Diseases and Protein Misfolding 3
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 6
- Biomaterials top 5%
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- Computational Drug Discovery Methods 6
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- Enzyme Structure and Function 3
- Co-authors
- Fabrizio ChitiChristopher M. DobsonCristina CecchiMichele VendruscoloMariagioia ZampagniSilvia CampioniAnnalisa ReliniTuomas P. J. Knowles
- Cited by
- PhysiologyAgingMolecular Biology
- Journals
- ACS Chemical Neuroscience (5 papers)Biophysical Journal (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Benedetta Mannini
42 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 110
- Physiology 1.2k
- Aging 57
- Molecular Biology 1.3k
- Cell Biology 287
- Biomaterials 223
Countries citing papers authored by Benedetta Mannini
This map shows the geographic impact of Benedetta Mannini'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 Benedetta Mannini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedetta Mannini more than expected).
Fields of papers citing papers by Benedetta Mannini
This network shows the impact of papers produced by Benedetta Mannini. 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 Benedetta Mannini. The network helps show where Benedetta Mannini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benedetta Mannini, 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 | 2021 | 36 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 29 | |
| 6 | 2020 | 112 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 18 | |
| 12 | 2017 | 43 | |
| 13 | 2016 | 25 | |
| 14 | 2013 | 31 | |
| 15 | 2013 | 67 | |
| 16 | 2012 | 16 | |
| 17 | 2012 | 23 | |
| 18 | 2011 | 10 | |
| 19 | 2010 | 458 | |
| 20 | 2010 | 50 |
About Benedetta Mannini
Benedetta Mannini is a scholar working on Aging, Physiology and Cell Biology, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (28 papers), Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Enzyme Structure and Function (3 papers) and Prion Diseases and Protein Misfolding (3 papers). The work is most often cited by research in Physiology (1.2k citations), Aging (57 citations) and Molecular Biology (1.3k citations). Benedetta Mannini has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Fabrizio Chiti, Christopher M. Dobson, Cristina Cecchi, Michele Vendruscolo, Mariagioia Zampagni, Silvia Campioni, Annalisa Relini, Tuomas P. J. Knowles, Elisa Evangelisti and Roberta Cascella. Their work appears in journals such as ACS Chemical Neuroscience, Biophysical Journal, Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Molecular Biology.
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.