Francesco Turturro
- Hematology top 2%
- Multiple Myeloma Research and Treatments 8
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- Lymphoma Diagnosis and Treatment 38
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 20
- Oncology top 5%
- Viral-associated cancers and disorders 13
- CAR-T cell therapy research 6
- Neurology top 10%
- CNS Lymphoma Diagnosis and Treatment 6
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- Protein Degradation and Inhibitors 6
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- T-cell and Retrovirus Studies 5
- Co-authors
- S. W. MorrisKaren PulfordTomas WelbourneJason R. WestinYasuhiro OkiParameswaran HariRobert M. RifkinPaul G. Richardson
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Francesco Turturro
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Hematology 412
- Pathology and Forensic Medicine 546
- Genetics 253
- Oncology 637
- Neurology 162
Countries citing papers authored by Francesco Turturro
This map shows the geographic impact of Francesco Turturro'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 Francesco Turturro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Turturro more than expected).
Fields of papers citing papers by Francesco Turturro
This network shows the impact of papers produced by Francesco Turturro. 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 Francesco Turturro. The network helps show where Francesco Turturro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Turturro, 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 | 2018 | 18 | |
| 2 | 2017 | 3 | |
| 3 | 2017 | 5 | |
| 4 | 2016 | 21 | |
| 5 | 2016 | 18 | |
| 6 | 2016 | 2 | |
| 7 | 2016 | 2 | |
| 8 | 2014 | 28 | |
| 9 | 2013 | 13 | |
| 10 | 2013 | 5 | |
| 11 | Meta-analysis of the tumor response in patients treated with rituximab either in combination with chemotherapy or with treatment following chemotherapy in CD20+ B-cell lymphomas. | 2007 | 1 |
| 12 | 2007 | 76 | |
| 13 | 2006 | 32 | |
| 14 | Analysis of the correlation between the expression of VEGF and αvβ5 and the ratio of eukaryotic initiation factor 4E (eif4E)/phosphorylated 4E-binding protein 1 (4EBP-1) level in hematopoietic derived cell lines. | 2004 | 1 |
| 15 | 2004 | 98 | |
| 16 | 2003 | 1 | |
| 17 | 2001 | 6 | |
| 18 | 1996 | 2 | |
| 19 | 1992 | 1 | |
| 20 | 1987 | 2 |
About Francesco Turturro
Francesco Turturro is a scholar working on Pathology and Forensic Medicine, Genetics and Hematology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (38 papers), Chronic Lymphocytic Leukemia Research (20 papers), Viral-associated cancers and disorders (13 papers), Multiple Myeloma Research and Treatments (8 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), CAR-T cell therapy research (6 papers), Protein Degradation and Inhibitors (6 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Hematology (412 citations), Pathology and Forensic Medicine (546 citations) and Genetics (253 citations). Francesco Turturro has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include S. W. Morris, Karen Pulford, Tomas Welbourne, Jason R. Westin, Yasuhiro Oki, Parameswaran Hari, Robert M. Rifkin, Paul G. Richardson, Jeffrey L. Wolf and A. Keith Stewart. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.
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.