Sara Mora
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Antibiotic Use and Resistance
Papers in
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- HIV/AIDS drug development and treatment 7
- HIV/AIDS Research and Interventions 4
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- Biomedical Text Mining and Ontologies 7
- Co-authors
- Mauro Giacomini (35 shared papers)Matteo Bassetti (28 shared papers)Daniele Roberto Giacobbe (19 shared papers)Alessio Signori (11 shared papers)Antonio Di Biagio (18 shared papers)Antonio Vena (13 shared papers)Lucia Taramasso (12 shared papers)Federica Briano (5 shared papers)
- Journals
- PLoS ONE (2 papers)Infectious Diseases and Therapy (2 papers)Frontiers in Medicine (2 papers)Antibiotics (2 papers)Antiviral Therapy (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Sara Mora
38 papers receiving 267 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 19
- Applied Microbiology and Biotechnology 24
- Family Practice 15
- Virology 24
- Clinical Biochemistry 29
Countries citing papers authored by Sara Mora
This map shows the geographic impact of Sara Mora'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 Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Mora more than expected).
Fields of papers citing papers by Sara Mora
This network shows the impact of papers produced by Sara Mora. 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 Mora. The network helps show where Sara Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Mora, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 53 | |
| 2 | 2019 | 27 | |
| 3 | 2020 | 19 | |
| 4 | 2019 | 19 | |
| 5 | 2024 | 19 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 9 | |
| 8 | 2025 | 8 | |
| 9 | 2020 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 4 |
About Sara Mora
Sara Mora is a scholar working on Infectious Diseases, Molecular Biology, Clinical Biochemistry, Virology and Artificial Intelligence, having authored 42 papers that have together received 269 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (8 papers), HIV/AIDS drug development and treatment (7 papers), Biomedical Text Mining and Ontologies (7 papers), HIV Research and Treatment (7 papers), HIV/AIDS Research and Interventions (4 papers), Machine Learning in Healthcare (3 papers), HIV-related health complications and treatments (3 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). The work is most often cited by research in Health Informatics (19 citations), Applied Microbiology and Biotechnology (24 citations), Family Practice (15 citations), Virology (24 citations) and Clinical Biochemistry (29 citations). Sara Mora has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Mauro Giacomini, Matteo Bassetti, Daniele Roberto Giacobbe, Alessio Signori, Antonio Di Biagio, Antonio Vena, Lucia Taramasso, Federica Briano, Luca Carmisciano and Chiara Robba. Their work appears in journals such as PLoS ONE, Infectious Diseases and Therapy, Frontiers in Medicine, Antibiotics and Antiviral Therapy.
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.