Fernando Roncolato
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
- Blood groups and transfusion
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- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 7
- Autoimmune Bullous Skin Diseases 1
- Oncology 8
- Viral-associated cancers and disorders 2
- CAR-T cell therapy research 2
- Co-authors
- Philip Choi (2 shared papers)Beng H. Chong (2 shared papers)Xavier C. Badoux (1 shared paper)Shir‐Jing Ho (1 shared paper)Frank Firkin (1 shared paper)Wai Khoon Ho (1 shared paper)Stefano Pileri (3 shared papers)Kiran Naqvi (2 shared papers)
- Journals
- Blood (4 papers)British Journal of Haematology (1 paper)Cancers (1 paper)Occupational and Environmental Medicine (1 paper)Cancer Epidemiology (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Fernando Roncolato
15 papers receiving 180 citations
Peers
Comparison fields: 5 of 36
- Hematology 109
- Genetics 48
- Pathology and Forensic Medicine 66
- Oncology 39
- Nephrology 7
Countries citing papers authored by Fernando Roncolato
This map shows the geographic impact of Fernando Roncolato'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 Fernando Roncolato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Roncolato more than expected).
Fields of papers citing papers by Fernando Roncolato
This network shows the impact of papers produced by Fernando Roncolato. 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 Fernando Roncolato. The network helps show where Fernando Roncolato may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Roncolato, 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 | 2015 | 53 | |
| 2 | 2022 | 41 | |
| 3 | 2010 | 15 | |
| 4 | 2021 | 13 | |
| 5 | Use of IGK gene rearrangement analysis for clonality assessment of lymphoid malignancies: a single center experience. | 2011 | 11 |
| 6 | 2015 | 11 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2011 | 6 | |
| 11 | 2022 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2011 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 |
About Fernando Roncolato
Fernando Roncolato is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Genetics and Molecular Biology, having authored 17 papers that have together received 183 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Myeloid Leukemia Research (3 papers), Viral-associated cancers and disorders (2 papers), CAR-T cell therapy research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Autoimmune Bullous Skin Diseases (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Hematology (109 citations), Genetics (48 citations), Pathology and Forensic Medicine (66 citations), Oncology (39 citations) and Nephrology (7 citations). Fernando Roncolato has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Philip Choi, Beng H. Chong, Xavier C. Badoux, Shir‐Jing Ho, Frank Firkin, Wai Khoon Ho, Stefano Pileri, Kiran Naqvi, Jacqueline S. Garcia and Ashish Bajel. Their work appears in journals such as Blood, British Journal of Haematology, Cancers, Occupational and Environmental Medicine and Cancer Epidemiology.
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.