Giulia Amore
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
-
- Mitochondrial Function and Pathology
- Prion Diseases and Protein Misfolding
- Retinal Development and Disorders
Papers in
-
- Glaucoma and retinal disorders 15
- Drug-Induced Ocular Toxicity 3
- Co-authors
- Chiara La Morgia (20 shared papers)Martina Romagnoli (13 shared papers)Valério Carelli (18 shared papers)Michele Carbonelli (16 shared papers)Piero Barboni (11 shared papers)Sabina Capellari (3 shared papers)Ilaria Poggiolini (1 shared paper)Francesca Lattanzio (1 shared paper)
- Journals
- American Journal of Ophthalmology (5 papers)Journal of Neurology (4 papers)Scientific Reports (2 papers)Neurology (2 papers)Annals of Clinical and Translational Neurology (2 papers)
- Partner nations
- ItalyUnited StatesSingapore
In The Last Decade
Giulia Amore
34 papers receiving 724 citations
Peers
Comparison fields: 5 of 51
- Ophthalmology 171
- Molecular Biology 365
- Endocrine and Autonomic Systems 32
- Neurology 74
- Health Informatics 9
Countries citing papers authored by Giulia Amore
This map shows the geographic impact of Giulia Amore'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 Giulia Amore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Amore more than expected).
Fields of papers citing papers by Giulia Amore
This network shows the impact of papers produced by Giulia Amore. 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 Giulia Amore. The network helps show where Giulia Amore may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Amore, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 135 | |
| 2 | 2022 | 59 | |
| 3 | 2020 | 58 | |
| 4 | 2021 | 51 | |
| 5 | 2020 | 40 | |
| 6 | 2019 | 36 | |
| 7 | 2020 | 36 | |
| 8 | 2021 | 35 | |
| 9 | 2020 | 23 | |
| 10 | 2021 | 23 | |
| 11 | 2023 | 23 | |
| 12 | 2022 | 20 | |
| 13 | 2023 | 20 | |
| 14 | 2024 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2022 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 12 |
About Giulia Amore
Giulia Amore is a scholar working on Ophthalmology, Neurology, Molecular Biology, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 733 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (15 papers), Mitochondrial Function and Pathology (13 papers), Hereditary Neurological Disorders (5 papers), Circadian rhythm and melatonin (4 papers), Retinal Imaging and Analysis (4 papers), Retinal Development and Disorders (4 papers), Drug-Induced Ocular Toxicity (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Ophthalmology (171 citations), Molecular Biology (365 citations), Endocrine and Autonomic Systems (32 citations), Neurology (74 citations) and Health Informatics (9 citations). Giulia Amore has collaborated with scholars based in Italy, United States and Singapore. Frequent co-authors include Chiara La Morgia, Martina Romagnoli, Valério Carelli, Michele Carbonelli, Piero Barboni, Sabina Capellari, Ilaria Poggiolini, Francesca Lattanzio, Anna Ladogana and A.J.E Green. Their work appears in journals such as American Journal of Ophthalmology, Journal of Neurology, Scientific Reports, Neurology and Annals of Clinical and Translational Neurology.
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.