Francesco Passiglia
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Viviana BazanAntonio RussoAngela ListìChristian RolfoGiuseppe BronteAntonio GalvanoMarta CastigliaSilvia Novello
- Topics
- Lung Cancer Treatments and Mutations (66 papers)Lung Cancer Research Studies (38 papers)Cancer Immunotherapy and Biomarkers (25 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaCancer
- Partner nations
- ItalyBelgiumUnited States
In The Last Decade
Francesco Passiglia
101 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 105
- Oncology 1.4k
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 814
- Cancer Research 629
- Pathology and Forensic Medicine 207
Countries citing papers authored by Francesco Passiglia
This map shows the geographic impact of Francesco Passiglia'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 Francesco Passiglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Passiglia more than expected).
Fields of papers citing papers by Francesco Passiglia
This network shows the impact of papers produced by Francesco Passiglia. 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 Francesco Passiglia. The network helps show where Francesco Passiglia may publish in the future.
Co-authorship network of co-authors of Francesco Passiglia
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Passiglia. A scholar is included among the top collaborators of Francesco Passiglia 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 Francesco Passiglia. Francesco Passiglia 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | 55 | |
| 16 | 9 | |
| 17 | 12 | |
| 18 | 33 | |
| 19 | 129 | |
| 20 | 95 |
About Francesco Passiglia
Francesco Passiglia is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 104 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (66 papers), Lung Cancer Research Studies (38 papers) and Cancer Immunotherapy and Biomarkers (25 papers). The work is most often cited by research in Oncology (1.4k citations), Cancer Research (629 citations) and Pulmonary and Respiratory Medicine (1.2k citations). Francesco Passiglia has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Viviana Bazan, Antonio Russo, Angela Listì, Christian Rolfo, Giuseppe Bronte, Antonio Galvano, Marta Castiglia, Silvia Novello, Sérgio Rizzo and Marc Peeters. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.
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.