Ada Aita
Impact in
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- Meta-analysis and systematic reviews
- Reliability and Agreement in Measurement
Papers in ⓘ
- Physiology 20
- Clinical Laboratory Practices and Quality Control 17
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- Meta-analysis and systematic reviews 11
- Reliability and Agreement in Measurement 5
- Co-authors
- Mario Plebani (38 shared papers)Laura Sciacovelli (22 shared papers)Andrea Padoan (26 shared papers)Maria Laura Chiozza (4 shared papers)Daniela Basso (21 shared papers)Giorgia Antonelli (7 shared papers)Michela Pelloso (4 shared papers)Filippo Navaglia (12 shared papers)
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (10 papers)Clinica Chimica Acta (9 papers)Clinical Biochemistry (4 papers)PLoS ONE (4 papers)Scientific Reports (1 paper)
- Partner nations
- ItalyEstoniaUnited Kingdom
In The Last Decade
Ada Aita
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Statistics, Probability and Uncertainty 332
- Medical Laboratory Technology 60
- Family Practice 49
- Physiology 547
- Clinical Biochemistry 72
Countries citing papers authored by Ada Aita
This map shows the geographic impact of Ada Aita'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 Ada Aita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ada Aita more than expected).
Fields of papers citing papers by Ada Aita
This network shows the impact of papers produced by Ada Aita. 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 Ada Aita. The network helps show where Ada Aita may publish in the future.
Co-authors
The 25 scholars most cited alongside Ada Aita, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 140 | |
| 2 | 2015 | 100 | |
| 3 | 2015 | 81 | |
| 4 | 2014 | 78 | |
| 5 | 2017 | 58 | |
| 6 | 2018 | 50 | |
| 7 | 2021 | 47 | |
| 8 | 2016 | 45 | |
| 9 | 2020 | 43 | |
| 10 | 2020 | 39 | |
| 11 | 2019 | 36 | |
| 12 | 2015 | 33 | |
| 13 | 2017 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 21 | |
| 17 | 2023 | 21 | |
| 18 | 2012 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2017 | 18 |
About Ada Aita
Ada Aita is a scholar working on Physiology, Statistics, Probability and Uncertainty, Surgery, Molecular Biology and Infectious Diseases, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (17 papers), Meta-analysis and systematic reviews (11 papers), Hemodynamic Monitoring and Therapy (6 papers), SARS-CoV-2 detection and testing (6 papers), Reliability and Agreement in Measurement (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Quality and Safety in Healthcare (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (332 citations), Medical Laboratory Technology (60 citations), Family Practice (49 citations), Physiology (547 citations) and Clinical Biochemistry (72 citations). Ada Aita has collaborated with scholars based in Italy, Estonia and United Kingdom. Frequent co-authors include Mario Plebani, Laura Sciacovelli, Andrea Padoan, Maria Laura Chiozza, Daniela Basso, Giorgia Antonelli, Michela Pelloso, Filippo Navaglia, Stefania Moz and Carlo‐Federico Zambon. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Biochemistry, PLoS ONE and Scientific Reports.
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.