Lorenzo Spaggiari
- Pulmonary and Respiratory Medicine top 0.1%
- Lung Cancer Diagnosis and Treatment 223
- Lung Cancer Treatments and Mutations 109
- Pleural and Pulmonary Diseases 74
- Tracheal and airway disorders 62
- Medical Imaging and Pathology Studies 38
- Oncology top 0.5%
- Lung Cancer Research Studies 45
- Cancer Research top 1%
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- Radiomics and Machine Learning in Medical Imaging 34
- Hepatology top 2%
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- Neuroendocrine Tumor Research Advances 32
- Co-authors
- Francesco PetrellaPatrick MaisonneuvePaolo VeronesiDomenico GalettaMassimo BellomiGiulia VeronesiGiuseppe PelosiPiergiorgio Solli
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Lancet (1 paper)Circulation (1 paper)
- Partner nations
- ItalyFranceSwitzerland
In The Last Decade
Lorenzo Spaggiari
469 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Pulmonary and Respiratory Medicine 6.3k
- Oncology 2.9k
- Cancer Research 1.1k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Hepatology 472
Countries citing papers authored by Lorenzo Spaggiari
This map shows the geographic impact of Lorenzo Spaggiari'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 Lorenzo Spaggiari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Spaggiari more than expected).
Fields of papers citing papers by Lorenzo Spaggiari
This network shows the impact of papers produced by Lorenzo Spaggiari. 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 Lorenzo Spaggiari. The network helps show where Lorenzo Spaggiari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lorenzo Spaggiari, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2021 | 3 | |
| 12 | 2019 | 4 | |
| 13 | 2018 | 39 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 26 | |
| 16 | 2013 | 84 | |
| 17 | 2011 | 89 | |
| 18 | 2011 | 197 | |
| 19 | Decompressing tracheostomy for the treatment of postintubation tracheal rupture [3] (multiple letters) | 1999 | 3 |
| 20 | 1998 | 149 |
About Lorenzo Spaggiari
Lorenzo Spaggiari is a scholar working on Pulmonary and Respiratory Medicine, Microbiology and Oncology, having authored 507 papers that have together received 10.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (223 papers), Lung Cancer Treatments and Mutations (109 papers), Pleural and Pulmonary Diseases (74 papers), Tracheal and airway disorders (62 papers), Lung Cancer Research Studies (45 papers), Medical Imaging and Pathology Studies (38 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Neuroendocrine Tumor Research Advances (32 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (6.3k citations), Oncology (2.9k citations) and Cancer Research (1.1k citations). Lorenzo Spaggiari has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Francesco Petrella, Patrick Maisonneuve, Paolo Veronesi, Domenico Galetta, Massimo Bellomi, Giulia Veronesi, Giuseppe Pelosi, Piergiorgio Solli, Monica Casiraghi and Juliana Guarize. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.
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.