Daniele Vallisa
- Oncology top 5%
- Pathology and Forensic Medicine top 2%
- Hepatology top 1%
- Genetics top 2%
- Epidemiology top 10%
- Co-authors
- Luigi CavannaElisabetta BuscariniLuigi BuscariniRaffaella BertèAndrea RoccaM. StasiGiuseppe CivardiPietro Quaretti
- Topics
- Lymphoma Diagnosis and Treatment (40 papers)Chronic Lymphocytic Leukemia Research (33 papers)Viral-associated cancers and disorders (14 papers)
- Partner nations
- ItalyUkraineUnited Kingdom
In The Last Decade
Daniele Vallisa
90 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Oncology 727
- Pathology and Forensic Medicine 692
- Hepatology 585
- Genetics 506
- Epidemiology 401
Countries citing papers authored by Daniele Vallisa
This map shows the geographic impact of Daniele Vallisa'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 Daniele Vallisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Vallisa more than expected).
Fields of papers citing papers by Daniele Vallisa
This network shows the impact of papers produced by Daniele Vallisa. 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 Daniele Vallisa. The network helps show where Daniele Vallisa may publish in the future.
Co-authorship network of co-authors of Daniele Vallisa
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Vallisa. A scholar is included among the top collaborators of Daniele Vallisa 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 Daniele Vallisa. Daniele Vallisa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 36 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 22 | |
| 10 | 52 | |
| 11 | 42 | |
| 12 | 19 | |
| 13 | 22 | |
| 14 | Clinical activity and safety of combination immunotherapy with IFN-alpha 2a and Rituximab in patients with relapsed low grade non-Hodgkin's lymphoma. | 62 |
| 15 | 2 | |
| 16 | Percutaneous radiofrequency ablation of small hepatocellular carcinoma. Long term results | 2 |
| 17 | Primary lymphoma of the spleen. Report of a case with diagnosis by fine-needle guided biopsy. | 14 |
| 18 | 16 | |
| 19 | 20 | |
| 20 | 46 |
About Daniele Vallisa
Daniele Vallisa is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (40 papers), Chronic Lymphocytic Leukemia Research (33 papers) and Viral-associated cancers and disorders (14 papers). The work is most often cited by research in Hepatology (585 citations), Genetics (506 citations) and Pathology and Forensic Medicine (692 citations). Daniele Vallisa has collaborated with scholars based in Italy, Ukraine and United Kingdom. Frequent co-authors include Luigi Cavanna, Elisabetta Buscarini, Luigi Buscarini, Raffaella Bertè, Andrea Rocca, M. Stasi, Giuseppe Civardi, Pietro Quaretti, Antonio Lazzaro and Patrizia Bernuzzi. 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.