Federica Lainati
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Tuberculosis Research and Epidemiology
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- Biosensors and Analytical Detection
Papers in
-
- SARS-CoV-2 detection and testing 4
- SARS-CoV-2 and COVID-19 Research 1
- Tuberculosis Research and Epidemiology 1
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- Biosensors and Analytical Detection 4
- Co-authors
- Claudia M. Denkinger (5 shared papers)Mary Gaeddert (4 shared papers)Olga Nikolai (4 shared papers)Frank Tobian (4 shared papers)Andreas K. Lindner (4 shared papers)Jilian A. Sacks (4 shared papers)Joachim Seybold (3 shared papers)Victor M. Corman (3 shared papers)
- Journals
- Medical Microbiology and Immunology (1 paper)Infectious Diseases (1 paper)PLoS ONE (1 paper)Journal of Clinical Virology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Federica Lainati
5 papers receiving 139 citations
Peers
Comparison fields: 5 of 25
- Infectious Diseases 132
- Biomedical Engineering 90
- General Dentistry 2
- Radiology, Nuclear Medicine and Imaging 25
- Modeling and Simulation 4
Countries citing papers authored by Federica Lainati
This map shows the geographic impact of Federica Lainati'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 Federica Lainati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Lainati more than expected).
Fields of papers citing papers by Federica Lainati
This network shows the impact of papers produced by Federica Lainati. 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 Federica Lainati. The network helps show where Federica Lainati may publish in the future.
Co-authors
The 25 scholars most cited alongside Federica Lainati, 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 | 2021 | 42 | |
| 2 | 2021 | 35 | |
| 3 | 2021 | 30 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 5 |
About Federica Lainati
Federica Lainati is a scholar working on Infectious Diseases, Biomedical Engineering, Epidemiology, Molecular Biology and Organic Chemistry, having authored 5 papers that have together received 140 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), SARS-CoV-2 detection and testing (4 papers), Respiratory viral infections research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Infectious Diseases (132 citations), Biomedical Engineering (90 citations), General Dentistry (2 citations), Radiology, Nuclear Medicine and Imaging (25 citations) and Modeling and Simulation (4 citations). Federica Lainati has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Claudia M. Denkinger, Mary Gaeddert, Olga Nikolai, Frank Tobian, Andreas K. Lindner, Jilian A. Sacks, Joachim Seybold, Victor M. Corman, Frank P. Mockenhaupt and J. Klein. Their work appears in journals such as Medical Microbiology and Immunology, Infectious Diseases, PLoS ONE, Journal of Clinical Virology and SHILAP Revista de lepidopterología.
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.