Roberto Sorasio
- Hematology top 2%
- Multiple Myeloma Research and Treatments 10
- Hematopoietic Stem Cell Transplantation 9
- Acute Myeloid Leukemia Research 4
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 14
- Oncology top 10%
- Viral-associated cancers and disorders 6
- Transplantation top 10%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 7
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- Lung Cancer Treatments and Mutations 7
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Mario BoccadoroBenedetto BrunoAndrea GallaminiLuisa GiacconeFrancesca PatriarcaRenato FaninMarcello RottaFrancesca Fiore
- Journals
- Blood (9 papers)Biology of Blood and Marrow Transplantation (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Roberto Sorasio
31 papers receiving 839 citations
Peers
Comparison fields: 5 of 54
- Hematology 542
- Pathology and Forensic Medicine 210
- Oncology 291
- Transplantation 23
- Genetics 83
Countries citing papers authored by Roberto Sorasio
This map shows the geographic impact of Roberto Sorasio'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 Roberto Sorasio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Sorasio more than expected).
Fields of papers citing papers by Roberto Sorasio
This network shows the impact of papers produced by Roberto Sorasio. 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 Roberto Sorasio. The network helps show where Roberto Sorasio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roberto Sorasio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 15 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 12 | |
| 4 | 2017 | 19 | |
| 5 | 2017 | 14 | |
| 6 | 2017 | 5 | |
| 7 | 2016 | 5 | |
| 8 | 2014 | 27 | |
| 9 | 2014 | 10 | |
| 10 | 2011 | 2 | |
| 11 | 2010 | 102 | |
| 12 | 2010 | 32 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 4 | |
| 15 | 2009 | 50 | |
| 16 | 2009 | 85 | |
| 17 | 2008 | 15 | |
| 18 | 2007 | 320 | |
| 19 | 2007 | 17 | |
| 20 | 2006 | 20 |
About Roberto Sorasio
Roberto Sorasio is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Transplantation and Oncology, having authored 33 papers that have together received 853 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Multiple Myeloma Research and Treatments (10 papers), Hematopoietic Stem Cell Transplantation (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Lung Cancer Treatments and Mutations (7 papers), Viral-associated cancers and disorders (6 papers), Acute Myeloid Leukemia Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Hematology (542 citations), Pathology and Forensic Medicine (210 citations), Oncology (291 citations), Transplantation (23 citations) and Genetics (83 citations). Roberto Sorasio has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Mario Boccadoro, Benedetto Bruno, Andrea Gallamini, Luisa Giaccone, Francesca Patriarca, Renato Fanin, Marcello Rotta, Francesca Fiore, Nicola Mordini and Paola Omedè. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, British Journal of Haematology, European Journal Of Haematology and Hematological Oncology.
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.