Giovanni Satta
- Infectious Diseases top 1%
- Applied Microbiology and Biotechnology top 0.1%
- Epidemiology top 5%
- Molecular Biology
- Critical Care and Intensive Care Medicine top 2%
- Co-authors
- Alison HolmesTimothy M. RawsonLuke MooreMark GilchristGraham CookeKeira SkolimowskaNina ZhuTimothy D. McHugh
- Topics
- Mycobacterium research and diagnosis (16 papers)Tuberculosis Research and Epidemiology (15 papers)Antibiotic Use and Resistance (9 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Giovanni Satta
49 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Infectious Diseases 1.1k
- Applied Microbiology and Biotechnology 800
- Epidemiology 719
- Molecular Biology 277
- Critical Care and Intensive Care Medicine 258
Countries citing papers authored by Giovanni Satta
This map shows the geographic impact of Giovanni Satta'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 Giovanni Satta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Satta more than expected).
Fields of papers citing papers by Giovanni Satta
This network shows the impact of papers produced by Giovanni Satta. 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 Giovanni Satta. The network helps show where Giovanni Satta may publish in the future.
Co-authorship network of co-authors of Giovanni Satta
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Satta. A scholar is included among the top collaborators of Giovanni Satta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giovanni Satta. Giovanni Satta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 45 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 23 | |
| 12 | 13 | |
| 13 | 95 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 23 | |
| 17 | 33 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 67 |
About Giovanni Satta
Giovanni Satta is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Microbiology, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (16 papers), Tuberculosis Research and Epidemiology (15 papers) and Antibiotic Use and Resistance (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (800 citations), Infectious Diseases (1.1k citations) and Molecular Medicine (249 citations). Giovanni Satta has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Alison Holmes, Timothy M. Rawson, Luke Moore, Mark Gilchrist, Graham Cooke, Keira Skolimowska, Nina Zhu, Timothy D. McHugh, Frances Davies and Esmita Charani. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.
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.