Michele Santacatterina
- Infectious Diseases top 10%
- Epidemiology
- General Health Professions
- Neurology
- Pediatrics, Perinatology and Child Health
- Co-authors
- Ziad El‐KhatibElisa LonginettiAnders SönnerborgMatteo BottaiDavid García‐AzorínDileep MavalankarAyesha De CostaJennifer Frontera
- Topics
- Advanced Causal Inference Techniques (8 papers)Statistical Methods and Inference (8 papers)SARS-CoV-2 and COVID-19 Research (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Michele Santacatterina
38 papers receiving 393 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 182
- Epidemiology 71
- General Health Professions 69
- Neurology 61
- Pediatrics, Perinatology and Child Health 54
Countries citing papers authored by Michele Santacatterina
This map shows the geographic impact of Michele Santacatterina'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 Michele Santacatterina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Santacatterina more than expected).
Fields of papers citing papers by Michele Santacatterina
This network shows the impact of papers produced by Michele Santacatterina. 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 Michele Santacatterina. The network helps show where Michele Santacatterina may publish in the future.
Co-authorship network of co-authors of Michele Santacatterina
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Santacatterina. A scholar is included among the top collaborators of Michele Santacatterina 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 Michele Santacatterina. Michele Santacatterina 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 10 | |
| 11 | 70 | |
| 12 | 5 | |
| 13 | 22 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | CAB: Continuous Adaptive Blending for Policy Evaluation and Learning | 11 |
| 17 | 18 | |
| 18 | 3 | |
| 19 | 40 | |
| 20 | 24 |
About Michele Santacatterina
Michele Santacatterina is a scholar working on Statistics and Probability, Otorhinolaryngology and Virology, having authored 42 papers that have together received 401 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Virology (52 citations), Infectious Diseases (182 citations) and Applied Microbiology and Biotechnology (11 citations). Michele Santacatterina has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Ziad El‐Khatib, Elisa Longinetti, Anders Sönnerborg, Matteo Bottai, David García‐Azorín, Dileep Mavalankar, Ayesha De Costa, Jennifer Frontera, Kiran T. Thakur and Mohamed Fahmy Doheim. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.