Paola Mason
- Epidemiology top 10%
- Physiology top 10%
- Public Health, Environmental and Occupational Health
- Pulmonary and Respiratory Medicine
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Piero MaestrelliClaudio PaganoMassimiliano OlivieriRoberto SerraMarco RossatoGiovanni FederspilCatia PilonGabriella Milan
- Topics
- Occupational exposure and asthma (15 papers)Asthma and respiratory diseases (8 papers)SARS-CoV-2 and COVID-19 Research (6 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Paola Mason
41 papers receiving 615 citations
Peers
Comparison fields: 5 of 95
- Epidemiology 275
- Physiology 200
- Public Health, Environmental and Occupational Health 128
- Pulmonary and Respiratory Medicine 105
- Endocrine and Autonomic Systems 103
Countries citing papers authored by Paola Mason
This map shows the geographic impact of Paola Mason'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 Paola Mason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Mason more than expected).
Fields of papers citing papers by Paola Mason
This network shows the impact of papers produced by Paola Mason. 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 Paola Mason. The network helps show where Paola Mason may publish in the future.
Co-authorship network of co-authors of Paola Mason
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Mason. A scholar is included among the top collaborators of Paola Mason 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 Paola Mason. Paola Mason is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 71 |
About Paola Mason
Paola Mason is a scholar working on Health, Toxicology and Mutagenesis, Sensory Systems and Radiological and Ultrasound Technology, having authored 41 papers that have together received 637 indexed citations. Recurring topics across this work include Occupational exposure and asthma (15 papers), Asthma and respiratory diseases (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (103 citations), Obstetrics and Gynecology (78 citations) and Epidemiology (275 citations). Paola Mason has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Piero Maestrelli, Claudio Pagano, Massimiliano Olivieri, Roberto Serra, Marco Rossato, Giovanni Federspil, Catia Pilon, Gabriella Milan, Roberto Fabris and Roberto Vettor. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and International Journal of Molecular Sciences.
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.