Luca Nassi
Impact in
-
- Lymphoma Diagnosis and Treatment
- Neurology top 5%
- CNS Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 29
- Oncology 16
- Viral-associated cancers and disorders 9
- CAR-T cell therapy research 4
- Co-authors
- Luigi Rigacci (11 shared papers)Alberto Bosi (10 shared papers)Antonio Castagnoli (4 shared papers)Francesco Merli (4 shared papers)Umberto Vitolo (3 shared papers)Rosaria Sancetta (2 shared papers)Andrea Gallamini (3 shared papers)Annibale Versari (2 shared papers)
- Journals
- Blood (6 papers)Annals of Hematology (5 papers)Hematological Oncology (5 papers)British Journal of Haematology (3 papers)Cancers (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Luca Nassi
35 papers receiving 658 citations
Peers
Comparison fields: 5 of 60
- Pathology and Forensic Medicine 516
- Neurology 211
- Radiology, Nuclear Medicine and Imaging 214
- Genetics 83
- Oncology 193
Countries citing papers authored by Luca Nassi
This map shows the geographic impact of Luca Nassi'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 Luca Nassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Nassi more than expected).
Fields of papers citing papers by Luca Nassi
This network shows the impact of papers produced by Luca Nassi. 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 Luca Nassi. The network helps show where Luca Nassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Nassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The predictive value of positron emission tomography scanning performed after two courses of standard therapy on treatment outcome in advanced stage Hodgkin's disease. | 2006 | 202 |
| 2 | 2007 | 69 | |
| 3 | 2009 | 64 | |
| 4 | 2007 | 47 | |
| 5 | 2007 | 31 | |
| 6 | 2005 | 29 | |
| 7 | 2010 | 26 | |
| 8 | 2023 | 21 | |
| 9 | 2021 | 21 | |
| 10 | 2019 | 18 | |
| 11 | 2023 | 15 | |
| 12 | 2019 | 15 | |
| 13 | [The zinc, copper and iron content of human colostrum and milk]. | 1974 | 15 |
| 14 | 2022 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2010 | 9 | |
| 18 | 2006 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2024 | 6 |
About Luca Nassi
Luca Nassi is a scholar working on Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 675 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Viral-associated cancers and disorders (9 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Medical Imaging Techniques and Applications (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Lung Cancer Treatments and Mutations (6 papers), CAR-T cell therapy research (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (516 citations), Neurology (211 citations), Radiology, Nuclear Medicine and Imaging (214 citations), Genetics (83 citations) and Oncology (193 citations). Luca Nassi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Luigi Rigacci, Alberto Bosi, Antonio Castagnoli, Francesco Merli, Umberto Vitolo, Rosaria Sancetta, Andrea Gallamini, Annibale Versari, Valentina Carrai and Alberto Biggi. Their work appears in journals such as Blood, Annals of Hematology, Hematological Oncology, British Journal of Haematology and Cancers.
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.