Alice Ledda
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 4
- Genetics 6
- Genetic diversity and population structure 4
- Co-authors
- Loris Mularoni (2 shared papers)M. Mar Albà (2 shared papers)Susana de la Luna (1 shared paper)Macarena Toll‐Riera (1 shared paper)Luca Ferretti (9 shared papers)Inna Povolotskaya (1 shared paper)Peter K. Vlasov (1 shared paper)Fyodor A. Kondrashov (1 shared paper)
- Journals
- Microbial Genomics (4 papers)PLoS Genetics (1 paper)Journal of Theoretical Biology (1 paper)Nature (1 paper)Epidemics (1 paper)
- Partner nations
- United KingdomSpainFrance
In The Last Decade
Alice Ledda
19 papers receiving 412 citations
Peers
Comparison fields: 5 of 86
- Molecular Medicine 49
- Modeling and Simulation 45
- Endocrinology 25
- Genetics 101
- Molecular Biology 234
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 110 | |
| 2 | 2010 | 78 | |
| 3 | 2018 | 33 | |
| 4 | 2023 | 28 | |
| 5 | 2012 | 24 | |
| 6 | 2020 | 20 | |
| 7 | 2016 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2019 | 14 | |
| 12 | 2014 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Alice Ledda
Alice Ledda is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Molecular Medicine and Modeling and Simulation, having authored 21 papers that have together received 421 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Resistance in Bacteria (5 papers), Genomics and Phylogenetic Studies (4 papers), Genetic diversity and population structure (4 papers), RNA and protein synthesis mechanisms (4 papers), COVID-19 epidemiological studies (4 papers), Bacteriophages and microbial interactions (3 papers) and COVID-19 Digital Contact Tracing (3 papers). The work is most often cited by research in Molecular Medicine (49 citations), Modeling and Simulation (45 citations), Endocrinology (25 citations), Genetics (101 citations) and Molecular Biology (234 citations). Alice Ledda has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include Loris Mularoni, M. Mar Albà, Susana de la Luna, Macarena Toll‐Riera, Luca Ferretti, Inna Povolotskaya, Peter K. Vlasov, Fyodor A. Kondrashov, Xavier Didelot and Chris Wymant. Their work appears in journals such as Microbial Genomics, PLoS Genetics, Journal of Theoretical Biology, Nature and Epidemics.
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.