Marcello Gambacorta
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Pathology and Forensic Medicine top 1%
- Molecular Biology top 10%
- Surgery top 5%
- Co-authors
- Silvio VeroneseSalvatore SienaAndrea Sartore‐BianchiMauro MoroniAlberto BardelliBrunangelo FaliniGiovanna MarrapeseFederica Di Nicolantonio
- Topics
- Lymphoma Diagnosis and Treatment (12 papers)Neuroblastoma Research and Treatments (8 papers)Glioma Diagnosis and Treatment (7 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marcello Gambacorta
78 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Oncology 1.8k
- Pulmonary and Respiratory Medicine 1.1k
- Pathology and Forensic Medicine 1.0k
- Molecular Biology 878
- Surgery 623
Countries citing papers authored by Marcello Gambacorta
This map shows the geographic impact of Marcello Gambacorta'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 Marcello Gambacorta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Gambacorta more than expected).
Fields of papers citing papers by Marcello Gambacorta
This network shows the impact of papers produced by Marcello Gambacorta. 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 Marcello Gambacorta. The network helps show where Marcello Gambacorta may publish in the future.
Co-authorship network of co-authors of Marcello Gambacorta
This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Gambacorta. A scholar is included among the top collaborators of Marcello Gambacorta 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 Marcello Gambacorta. Marcello Gambacorta 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | Predictive value of computerized morphometric analysis of steatosis in donor livers. | 1 |
| 7 | 28 | |
| 8 | 66 | |
| 9 | 5 | |
| 10 | 30 | |
| 11 | 264 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | PG-M1: a new monoclonal antibody directed against a fixative-resistant epitope on the macrophage-restricted form of the CD68 molecule. | 257 |
| 16 | 19 | |
| 17 | 25 | |
| 18 | 97 | |
| 19 | 72 | |
| 20 | 40 |
About Marcello Gambacorta
Marcello Gambacorta is a scholar working on Neurology, Pathology and Forensic Medicine and Genetics, having authored 82 papers that have together received 4.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Neuroblastoma Research and Treatments (8 papers) and Glioma Diagnosis and Treatment (7 papers). The work is most often cited by research in Oncology (1.8k citations), Pathology and Forensic Medicine (1.0k citations) and Genetics (515 citations). Marcello Gambacorta has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Silvio Veronese, Salvatore Siena, Andrea Sartore‐Bianchi, Mauro Moroni, Alberto Bardelli, Brunangelo Falini, Giovanna Marrapese, Federica Di Nicolantonio, Silvia Benvenuti and Stefano Pileri. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.