A Cavalleri
- Pulmonary and Respiratory Medicine top 10%
- Health, Toxicology and Mutagenesis top 5%
- Oncology top 10%
- Genetics top 10%
- Molecular Biology
- Co-authors
- Giorgio SecretoElisabetta VenturelliCamilla RecchioneFabriziomaria GobbaFranco BerrinoCarla MinoiaPaola PisaniPaola Muti
- Topics
- Estrogen and related hormone effects (11 papers)Hormonal and reproductive studies (8 papers)Cancer Risks and Factors (7 papers)
- Journals
- Journal of Clinical OncologyThe Science of The Total EnvironmentJNCI Journal of the National Cancer Institute
- Partner nations
- ItalyUnited StatesMalaysia
In The Last Decade
A Cavalleri
89 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Pulmonary and Respiratory Medicine 348
- Health, Toxicology and Mutagenesis 332
- Oncology 301
- Genetics 288
- Molecular Biology 218
Countries citing papers authored by A Cavalleri
This map shows the geographic impact of A Cavalleri'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 A Cavalleri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Cavalleri more than expected).
Fields of papers citing papers by A Cavalleri
This network shows the impact of papers produced by A Cavalleri. 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 A Cavalleri. The network helps show where A Cavalleri may publish in the future.
Co-authorship network of co-authors of A Cavalleri
This figure shows the co-authorship network connecting the top 25 collaborators of A Cavalleri. A scholar is included among the top collaborators of A Cavalleri 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 A Cavalleri. A Cavalleri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 23 | |
| 4 | 20 | |
| 5 | UV-C irradiation is highly effective in inactivating SARS-CoV-2 replicationbreakdown → | 223 |
| 6 | 12 | |
| 7 | 21 | |
| 8 | 11 | |
| 9 | 30 | |
| 10 | [Environmental and biological monitoring of occupational exposure to perchloroethylene in dry cleaning shops]. | 4 |
| 11 | 13 | |
| 12 | 27 | |
| 13 | 90 | |
| 14 | 40 | |
| 15 | 4 | |
| 16 | 42 | |
| 17 | [Identification of occupations with greater risk of accidents and micro-accidents]. | 1 |
| 18 | 29 | |
| 19 | 29 | |
| 20 | 41 |
About A Cavalleri
A Cavalleri is a scholar working on Chemical Health and Safety, Health, Toxicology and Mutagenesis and Cancer Research, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Hormonal and reproductive studies (8 papers) and Cancer Risks and Factors (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (332 citations), Endocrine and Autonomic Systems (132 citations) and General Dentistry (33 citations). A Cavalleri has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Giorgio Secreto, Elisabetta Venturelli, Camilla Recchione, Fabriziomaria Gobba, Franco Berrino, Carla Minoia, Paola Pisani, Paola Muti, Andrea Micheli and Manuela Lualdi. Their work appears in journals such as Journal of Clinical Oncology, The Science of The Total Environment and JNCI Journal of the National Cancer Institute.
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.