Matteo Dell’Olio
- Pathology and Forensic Medicine top 5%
- Genetics top 5%
- Oncology top 10%
- Immunology
- Hematology top 10%
- Co-authors
- Pellegrino MustoNicola CascavillaM CarotenutoGiovanni D’ArenaNicola Di RenzoAntonio La SalaAngelo Michele CarellaGianni Perla
- Topics
- Lymphoma Diagnosis and Treatment (14 papers)Chronic Lymphocytic Leukemia Research (9 papers)CNS Lymphoma Diagnosis and Treatment (6 papers)
In The Last Decade
Matteo Dell’Olio
28 papers receiving 608 citations
Peers
Comparison fields: 5 of 60
- Pathology and Forensic Medicine 378
- Genetics 286
- Oncology 274
- Immunology 142
- Hematology 83
Countries citing papers authored by Matteo Dell’Olio
This map shows the geographic impact of Matteo Dell’Olio'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 Matteo Dell’Olio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Dell’Olio more than expected).
Fields of papers citing papers by Matteo Dell’Olio
This network shows the impact of papers produced by Matteo Dell’Olio. 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 Matteo Dell’Olio. The network helps show where Matteo Dell’Olio may publish in the future.
Co-authorship network of co-authors of Matteo Dell’Olio
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Dell’Olio. A scholar is included among the top collaborators of Matteo Dell’Olio 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 Matteo Dell’Olio. Matteo Dell’Olio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 173 | |
| 2 | 20 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 20 | |
| 12 | 37 | |
| 13 | Mitoxantrone, prednisone, pentostatin and bleomycin for patients with indolent non-Hodgkin's lymphoma relapsed or unresponsive to previous treatments. Results of a phase II study conducted by the Gruppo Italiano per lo Studio dei Linfomi (GISL) | 2 |
| 14 | Il diritto del lavoro italiano e le sue fonti | 1 |
| 15 | 2 | |
| 16 | 19 | |
| 17 | 64 | |
| 18 | 81 | |
| 19 | 14 | |
| 20 | L'organizzazione e l'azione sindacale | 0 |
About Matteo Dell’Olio
Matteo Dell’Olio is a scholar working on Industrial relations, Genetics and Pathology and Forensic Medicine, having authored 30 papers that have together received 624 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (9 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Genetics (286 citations), Pathology and Forensic Medicine (378 citations) and Oncology (274 citations). Matteo Dell’Olio has collaborated with scholars based in Italy, Nepal and Brazil. Frequent co-authors include Pellegrino Musto, Nicola Cascavilla, M Carotenuto, Giovanni D’Arena, Nicola Di Renzo, Antonio La Sala, Angelo Michele Carella, Gianni Perla, Massimo Federico and Lucia Savino. Their work appears in journals such as Journal of Clinical Oncology, Blood 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.