Francesca Magno
- Genetics top 2%
- Surgery top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Co-authors
- Rita AnzaloneGiampiero La RoccaFrancesco CappelloGiovanni ZummoAntonino Di StefanoFelicia FarinaSimona CorraoTiziana Loria
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers)Asthma and respiratory diseases (4 papers)Tissue Engineering and Regenerative Medicine (3 papers)
- Partner nations
- ItalyUnited KingdomAustria
In The Last Decade
Francesca Magno
14 papers receiving 920 citations
Peers
Comparison fields: 5 of 87
- Genetics 365
- Surgery 301
- Molecular Biology 249
- Pulmonary and Respiratory Medicine 245
- Immunology 214
Countries citing papers authored by Francesca Magno
This map shows the geographic impact of Francesca Magno'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 Francesca Magno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Magno more than expected).
Fields of papers citing papers by Francesca Magno
This network shows the impact of papers produced by Francesca Magno. 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 Francesca Magno. The network helps show where Francesca Magno may publish in the future.
Co-authorship network of co-authors of Francesca Magno
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Magno. A scholar is included among the top collaborators of Francesca Magno 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 Francesca Magno. Francesca Magno 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 | 185 | |
| 4 | 75 | |
| 5 | Th17-related cytokine expression is increased in the bronchial mucosa of stable COPD patients | 5 |
| 6 | 253 | |
| 7 | 232 | |
| 8 | Telomerase activity and telomeric states in cell proliferative and differentiative mechanisms. | 1 |
| 9 | 52 | |
| 10 | 30 | |
| 11 | 31 | |
| 12 | Increased neutrophil (Neu) adhesion in bronchial biopsies from patients with severe COPD | 1 |
| 13 | New perspectives on the roles of proteinases and lung structural cells in the pathogenesis of chronic obstructive pulmonary disease. | 1 |
| 14 | 72 | |
| 15 | Epithelial overexpression of Interleukin-8 in bronchial biopsies from patients with COPD | 1 |
About Francesca Magno
Francesca Magno is a scholar working on Transplantation, Emergency Medical Services and Physiology, having authored 15 papers that have together received 942 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Asthma and respiratory diseases (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Genetics (365 citations), Emergency Medical Services (122 citations) and Immunology (214 citations). Francesca Magno has collaborated with scholars based in Italy, United Kingdom and Austria. Frequent co-authors include Rita Anzalone, Giampiero La Rocca, Francesco Cappello, Giovanni Zummo, Antonino Di Stefano, Felicia Farina, Simona Corrao, Tiziana Loria, Melania Lo Iacono and Silvestro Ennio D’Anna. Their work appears in journals such as Cancer, Thorax and Clinical & Experimental Immunology.
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.