Sara Simi
Impact in
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
- Cancer Immunotherapy and Biomarkers
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- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
Papers in
- Oncology 15
- Cutaneous Melanoma Detection and Management 12
- Cancer Immunotherapy and Biomarkers 6
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- Dermatology and Skin Diseases 2
- Co-authors
- Daniela Massi (17 shared papers)Filippo Ugolini (14 shared papers)Francesco De Logu (9 shared papers)Romina Nassini (7 shared papers)Antonio Cossu (6 shared papers)Vincenza Maio (5 shared papers)Marco Laurino (2 shared papers)Vincenzo DE GIORGI (7 shared papers)
- Journals
- Cancers (5 papers)European Journal of Cancer (3 papers)Journal of the American Academy of Dermatology (1 paper)Frontiers in Oncology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Sara Simi
23 papers receiving 373 citations
Peers
Comparison fields: 5 of 47
- Oncology 184
- Genetics 72
- Health Informatics 5
- Cell Biology 25
- Dermatology 14
Countries citing papers authored by Sara Simi
This map shows the geographic impact of Sara Simi'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 Sara Simi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Simi more than expected).
Fields of papers citing papers by Sara Simi
This network shows the impact of papers produced by Sara Simi. 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 Sara Simi. The network helps show where Sara Simi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Simi, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 164 | |
| 2 | 2020 | 52 | |
| 3 | 2023 | 17 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 14 | |
| 6 | 2015 | 13 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 1 |
About Sara Simi
Sara Simi is a scholar working on Oncology, Dermatology, Rheumatology, Pulmonary and Respiratory Medicine and Ophthalmology, having authored 23 papers that have together received 378 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (12 papers), Cancer Immunotherapy and Biomarkers (6 papers), Dermatology and Skin Diseases (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Melanoma and MAPK Pathways (2 papers), AI in cancer detection (2 papers), Epigenetics and DNA Methylation (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Oncology (184 citations), Genetics (72 citations), Health Informatics (5 citations), Cell Biology (25 citations) and Dermatology (14 citations). Sara Simi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Daniela Massi, Filippo Ugolini, Francesco De Logu, Romina Nassini, Antonio Cossu, Vincenza Maio, Marco Laurino, Vincenzo DE GIORGI, Gianna Baroni and Luigi Francesco Iannone. Their work appears in journals such as Cancers, European Journal of Cancer, Journal of the American Academy of Dermatology, Frontiers in Oncology and International Journal of Molecular Sciences.
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.