Alfonso Marchianò
- Pulmonary and Respiratory Medicine top 0.5%
- Hepatology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Oncology top 2%
- Epidemiology top 5%
- Co-authors
- Ugo PastorinoNicola SverzellatiVincenzo MazzaferroGabriella SozziCarlo SpreaficoCarlo MorosiCarlo La VecchiaF Garbagnati
- Topics
- Lung Cancer Diagnosis and Treatment (41 papers)Hepatocellular Carcinoma Treatment and Prognosis (27 papers)Radiomics and Machine Learning in Medical Imaging (26 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Alfonso Marchianò
150 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Pulmonary and Respiratory Medicine 2.5k
- Hepatology 1.7k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Oncology 1.0k
- Epidemiology 920
Countries citing papers authored by Alfonso Marchianò
This map shows the geographic impact of Alfonso Marchianò'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 Alfonso Marchianò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfonso Marchianò more than expected).
Fields of papers citing papers by Alfonso Marchianò
This network shows the impact of papers produced by Alfonso Marchianò. 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 Alfonso Marchianò. The network helps show where Alfonso Marchianò may publish in the future.
Co-authorship network of co-authors of Alfonso Marchianò
This figure shows the co-authorship network connecting the top 25 collaborators of Alfonso Marchianò. A scholar is included among the top collaborators of Alfonso Marchianò 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 Alfonso Marchianò. Alfonso Marchianò 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 | 6 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 42 | |
| 7 | 31 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 27 | |
| 11 | 318 | |
| 12 | 38 | |
| 13 | 128 | |
| 14 | 51 | |
| 15 | 18 | |
| 16 | 64 | |
| 17 | 10 | |
| 18 | The Italian experience with SH U 508 A (Levovist) in breast disease. | 5 |
| 19 | Reliability of prolonged infusion in cancer chemotherapy with the Groshong central venous catheter | 5 |
| 20 | Magnetic resonance imaging of extracranial neurogenic tumors | 1 |
About Alfonso Marchianò
Alfonso Marchianò is a scholar working on Hepatology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 153 papers that have together received 5.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (41 papers), Hepatocellular Carcinoma Treatment and Prognosis (27 papers) and Radiomics and Machine Learning in Medical Imaging (26 papers). The work is most often cited by research in Hepatology (1.7k citations), Pulmonary and Respiratory Medicine (2.5k citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). Alfonso Marchianò has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Ugo Pastorino, Nicola Sverzellati, Vincenzo Mazzaferro, Gabriella Sozzi, Carlo Spreafico, Carlo Morosi, Carlo La Vecchia, F Garbagnati, Mario Silva and Mattia Boeri. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.
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.