Alice Ledda
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Antibiotic Resistance in Bacteria 5
-
- Bacterial Identification and Susceptibility Testing 4
- Co-authors
- Susana de la Luna (1 shared paper)M. Mar Albà (1 shared paper)Loris Mularoni (1 shared paper)Inna Povolotskaya (1 shared paper)Fyodor A. Kondrashov (1 shared paper)Peter K. Vlasov (1 shared paper)Luca Ferretti (7 shared papers)Xavier Didelot (5 shared papers)
- Journals
- Microbial Genomics (5 papers)Nature (1 paper)Journal of Theoretical Biology (1 paper)Journal of Antimicrobial Chemotherapy (1 paper)Systematic Biology (1 paper)
- Partner nations
- United KingdomFranceSpain
In The Last Decade
Alice Ledda
16 papers receiving 326 citations
Peers
Comparison fields: 5 of 75
- Molecular Medicine 50
- Modeling and Simulation 26
- Endocrinology 24
- Applied Microbiology and Biotechnology 5
- Genetics 73
Countries citing papers authored by Alice Ledda
This map shows the geographic impact of Alice Ledda'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 Alice Ledda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alice Ledda more than expected).
Fields of papers citing papers by Alice Ledda
This network shows the impact of papers produced by Alice Ledda. 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 Alice Ledda. The network helps show where Alice Ledda may publish in the future.
Co-authors
The 25 scholars most cited alongside Alice Ledda, 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 | 2009 | 115 | |
| 2 | 2018 | 35 | |
| 3 | 2012 | 31 | |
| 4 | 2023 | 31 | |
| 5 | 2020 | 18 | |
| 6 | 2016 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2014 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2012 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2025 | 0 |
About Alice Ledda
Alice Ledda is a scholar working on Molecular Medicine, Clinical Biochemistry, Endocrinology, Genetics and Modeling and Simulation, having authored 19 papers that have together received 332 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Genetic diversity and population structure (3 papers), Genomics and Phylogenetic Studies (3 papers), Evolution and Genetic Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), COVID-19 epidemiological studies (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Medicine (50 citations), Modeling and Simulation (26 citations), Endocrinology (24 citations), Applied Microbiology and Biotechnology (5 citations) and Genetics (73 citations). Alice Ledda has collaborated with scholars based in United Kingdom, France and Spain. Frequent co-authors include Susana de la Luna, M. Mar Albà, Loris Mularoni, Inna Povolotskaya, Fyodor A. Kondrashov, Peter K. Vlasov, Luca Ferretti, Xavier Didelot, Wei Wei Liu and Claudine Médigue. Their work appears in journals such as Microbial Genomics, Nature, Journal of Theoretical Biology, Journal of Antimicrobial Chemotherapy and Systematic 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.