Susanna Maltoni
- General Health Professions top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Public Health, Environmental and Occupational Health
- Genetics
- Molecular Biology
- Co-authors
- Luciana BalliniCatherine O’DonnellRachel McEvoyFrances S MairAnne MacFarlaneMaria Chiara BassiRoberto D’AmicoVittorio Basevi
- Topics
- SARS-CoV-2 and COVID-19 Research (4 papers)SARS-CoV-2 detection and testing (4 papers)COVID-19 epidemiological studies (2 papers)
- Cited by
- General Health ProfessionsEndocrinology, Diabetes and MetabolismHealth Information Management
- Partner nations
- ItalyUnited KingdomCanada
In The Last Decade
Susanna Maltoni
20 papers receiving 617 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- General Health Professions 210
- Endocrinology, Diabetes and Metabolism 107
- Public Health, Environmental and Occupational Health 92
- Genetics 87
- Molecular Biology 58
Countries citing papers authored by Susanna Maltoni
This map shows the geographic impact of Susanna Maltoni'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 Susanna Maltoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna Maltoni more than expected).
Fields of papers citing papers by Susanna Maltoni
This network shows the impact of papers produced by Susanna Maltoni. 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 Susanna Maltoni. The network helps show where Susanna Maltoni may publish in the future.
Co-authorship network of co-authors of Susanna Maltoni
This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Maltoni. A scholar is included among the top collaborators of Susanna Maltoni 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 Susanna Maltoni. Susanna Maltoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 115 | |
| 11 | 62 | |
| 12 | A qualitative systematic review of studies using the normalization process theory to research implementation processesbreakdown → | 277 |
| 13 | 34 | |
| 14 | HTA report: new devices for the management of glycaemia in young diabetics | 1 |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 8 | |
| 19 | 70 | |
| 20 | 1 |
About Susanna Maltoni
Susanna Maltoni is a scholar working on Modeling and Simulation, Parasitology and Geriatrics and Gerontology, having authored 21 papers that have together received 635 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (4 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in General Health Professions (210 citations), Endocrinology, Diabetes and Metabolism (107 citations) and Health Information Management (21 citations). Susanna Maltoni has collaborated with scholars based in Italy, United Kingdom and Canada. Frequent co-authors include Luciana Ballini, Catherine O’Donnell, Rachel McEvoy, Frances S Mair, Anne MacFarlane, Maria Chiara Bassi, Roberto D’Amico, Vittorio Basevi, Enrica Perrone and Sara Balduzzi. Their work appears in journals such as Cochrane Database of Systematic Reviews, BMC Health Services Research and Implementation Science.
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.