Francesco Turturro
- Oncology top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 2%
- Hematology top 2%
- Genetics top 5%
- Co-authors
- S. W. MorrisKaren PulfordTomas WelbourneJason R. WestinYasuhiro OkiParameswaran HariRobert M. RifkinPaul G. Richardson
- Topics
- Lymphoma Diagnosis and Treatment (38 papers)Chronic Lymphocytic Leukemia Research (20 papers)Viral-associated cancers and disorders (13 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Francesco Turturro
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Oncology 637
- Molecular Biology 580
- Pathology and Forensic Medicine 546
- Hematology 412
- Genetics 253
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 of co-authors of Francesco Turturro
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Turturro. A scholar is included among the top collaborators of Francesco Turturro 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 Francesco Turturro. Francesco Turturro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 18 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 28 | |
| 9 | 13 | |
| 10 | 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. | 1 |
| 12 | 76 | |
| 13 | 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. | 1 |
| 15 | 98 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 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) and Viral-associated cancers and disorders (13 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.