Maurizio Coggiola
- Pulmonary and Respiratory Medicine
- Health, Toxicology and Mutagenesis top 10%
- Public Health, Environmental and Occupational Health
- Infectious Diseases
- Clinical Psychology
- Co-authors
- Enrico PiraCarlo La VecchiaClaudio PelucchiG PiolattoP CartaCatalina CiocanEva NegriAlessandro Godono
- Topics
- SARS-CoV-2 and COVID-19 Research (7 papers)Occupational and environmental lung diseases (6 papers)Occupational exposure and asthma (5 papers)
- Cited by
- Medical Laboratory TechnologyRadiological and Ultrasound TechnologyHealth, Toxicology and Mutagenesis
- Journals
- Annals of OncologyInternational Journal of Environmental Research and Public HealthEnvironmental Research
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Maurizio Coggiola
31 papers receiving 417 citations
Peers
Comparison fields: 5 of 82
- Pulmonary and Respiratory Medicine 196
- Health, Toxicology and Mutagenesis 95
- Public Health, Environmental and Occupational Health 89
- Infectious Diseases 86
- Clinical Psychology 67
Countries citing papers authored by Maurizio Coggiola
This map shows the geographic impact of Maurizio Coggiola'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 Maurizio Coggiola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Coggiola more than expected).
Fields of papers citing papers by Maurizio Coggiola
This network shows the impact of papers produced by Maurizio Coggiola. 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 Maurizio Coggiola. The network helps show where Maurizio Coggiola may publish in the future.
Co-authorship network of co-authors of Maurizio Coggiola
This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Coggiola. A scholar is included among the top collaborators of Maurizio Coggiola 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 Maurizio Coggiola. Maurizio Coggiola 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 | 3 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 42 | |
| 12 | 35 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 110 | |
| 19 | 50 | |
| 20 | 4 |
About Maurizio Coggiola
Maurizio Coggiola is a scholar working on Medical Laboratory Technology, Radiological and Ultrasound Technology and Modeling and Simulation, having authored 33 papers that have together received 446 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Occupational and environmental lung diseases (6 papers) and Occupational exposure and asthma (5 papers). The work is most often cited by research in Medical Laboratory Technology (11 citations), Radiological and Ultrasound Technology (36 citations) and Health, Toxicology and Mutagenesis (95 citations). Maurizio Coggiola has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Enrico Pira, Carlo La Vecchia, Claudio Pelucchi, G Piolatto, P Carta, Catalina Ciocan, Eva Negri, Alessandro Godono, Giacomo Garzaro and Marco Clari. Their work appears in journals such as Annals of Oncology, International Journal of Environmental Research and Public Health and Environmental Research.
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.