Serena Magi
Impact in
- Dermatology top 5%
- Skin Protection and Aging
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
Papers in
- Oncology 19
- Cutaneous Melanoma Detection and Management 19
- Dermatology 12
- Skin Protection and Aging 4
- Cutaneous lymphoproliferative disorders research 4
- Co-authors
- Ignazio Stanganelli (25 shared papers)Matelda Medri (8 shared papers)Laura Mazzoni (18 shared papers)Sara Gandini (7 shared papers)Giovanni Pellacani (7 shared papers)Francesca Farnetani (8 shared papers)Caterina Longo (6 shared papers)V. del Mármol (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (3 papers)Medicine (2 papers)Dermatologic Surgery (2 papers)British Journal of Dermatology (2 papers)Cancers (2 papers)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Serena Magi
25 papers receiving 398 citations
Peers
Comparison fields: 5 of 72
- Dermatology 159
- Oncology 271
- Biophysics 41
- Health Informatics 5
- Pathology and Forensic Medicine 61
Countries citing papers authored by Serena Magi
This map shows the geographic impact of Serena Magi'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 Serena Magi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Magi more than expected).
Fields of papers citing papers by Serena Magi
This network shows the impact of papers produced by Serena Magi. 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 Serena Magi. The network helps show where Serena Magi may publish in the future.
Co-authors
The 25 scholars most cited alongside Serena Magi, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 88 | |
| 2 | 2014 | 56 | |
| 3 | Computer-aided diagnosis of melanocytic lesions. | 2006 | 44 |
| 4 | 2022 | 42 | |
| 5 | 2007 | 26 | |
| 6 | 2014 | 24 | |
| 7 | 2013 | 21 | |
| 8 | 2014 | 18 | |
| 9 | 2019 | 13 | |
| 10 | 2016 | 13 | |
| 11 | 2024 | 11 | |
| 12 | 2003 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2017 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2021 | 2 |
About Serena Magi
Serena Magi is a scholar working on Oncology, Dermatology, Biophysics, Molecular Biology and Cell Biology, having authored 27 papers that have together received 411 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (19 papers), Cell Image Analysis Techniques (8 papers), Optical Coherence Tomography Applications (5 papers), melanin and skin pigmentation (5 papers), Skin Protection and Aging (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), Melanoma and MAPK Pathways (3 papers) and Indoor Air Quality and Microbial Exposure (3 papers). The work is most often cited by research in Dermatology (159 citations), Oncology (271 citations), Biophysics (41 citations), Health Informatics (5 citations) and Pathology and Forensic Medicine (61 citations). Serena Magi has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Ignazio Stanganelli, Matelda Medri, Laura Mazzoni, Sara Gandini, Giovanni Pellacani, Francesca Farnetani, Caterina Longo, V. del Mármol, Melania Assedi and Saverio Caini. Their work appears in journals such as Journal of the American Academy of Dermatology, Medicine, Dermatologic Surgery, British Journal of Dermatology and Cancers.
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.