Francesco Turturro

842 total citations
33 papers, 525 citations indexed

About

Francesco Turturro is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Francesco Turturro has authored 33 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Hematology. Recurrent topics in Francesco Turturro's work include Cancer, Hypoxia, and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Acute Myeloid Leukemia Research (4 papers). Francesco Turturro is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Acute Myeloid Leukemia Research (4 papers). Francesco Turturro collaborates with scholars based in United States and Italy. Francesco Turturro's co-authors include Tomas Welbourne, Robert Oliver, Prem Seth, Diya Surie, Luca Labianca, Charles J. Link, Itzhak Nissim, Maria Alma Rodriguez, Dan Jones and Felipe Samaniego and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Francesco Turturro

33 papers receiving 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesco Turturro United States 13 245 132 110 83 83 33 525
Liza D. Morales United States 12 406 1.7× 149 1.1× 50 0.5× 190 2.3× 114 1.4× 20 736
Yoshihiro Umebayashi Japan 10 241 1.0× 97 0.7× 36 0.3× 34 0.4× 49 0.6× 33 425
Hongjun Zhao China 14 314 1.3× 81 0.6× 100 0.9× 152 1.8× 151 1.8× 47 615
Tomoko Ota Japan 12 163 0.7× 193 1.5× 60 0.5× 79 1.0× 75 0.9× 22 507
Carlos Román Spain 15 322 1.3× 70 0.5× 75 0.7× 36 0.4× 59 0.7× 41 669
Sybille Schmid Germany 6 223 0.9× 85 0.6× 38 0.3× 224 2.7× 108 1.3× 6 512
Scott J. Ragg Australia 10 139 0.6× 75 0.6× 15 0.1× 255 3.1× 39 0.5× 20 462
O Katoh Japan 8 290 1.2× 116 0.9× 41 0.4× 125 1.5× 62 0.7× 14 576
Alessandro Barbarulo United Kingdom 12 224 0.9× 158 1.2× 22 0.2× 181 2.2× 57 0.7× 15 459
Duygu Derin Türkiye 12 178 0.7× 181 1.4× 28 0.3× 60 0.7× 81 1.0× 24 424

Countries citing papers authored by Francesco Turturro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Turturro, Francesco, et al.. (2017). Rate of complications due to neuromuscular scoliosis spine surgery in a 30-years consecutive series. European Spine Journal. 26(S4). 539–545. 15 indexed citations
2.
Stuart, Robert K., Larry D. Cripe, Michael B. Maris, et al.. (2014). REVEAL‐1, a phase 2 dose regimen optimization study of vosaroxin in older poor‐risk patients with previously untreated acute myeloid leukaemia. British Journal of Haematology. 168(6). 796–805. 27 indexed citations
3.
Khouri, Issa F., Wei Wei, Martin Körbling, et al.. (2013). Bfr (bendamustine, fludarabine, rituximab) Nonmyeloablative Allogeneic Conditioning: A Novel Regimen Inducing Immunosuppression Without Myelosuppression. Blood. 122(21). 541–541. 2 indexed citations
4.
Labianca, Luca, et al.. (2013). Osteomyelitis Caused by Pantoea agglomerans in a Closed Fracture in a Child. Orthopedics. 36(2). e252–6. 16 indexed citations
5.
6.
Turturro, Francesco, et al.. (2011). Response to dexamethasone is glucose-sensitive in multiple myeloma cell lines. Journal of Experimental & Clinical Cancer Research. 30(1). 81–81. 8 indexed citations
7.
Carlesimo, Marta, et al.. (2011). Ehlers–Danlos syndrome: case report and an electron microscopy study. Rheumatology International. 32(6). 1507–1510. 8 indexed citations
8.
Oliver, Robert, et al.. (2010). Glutaminolysis and glycolysis regulation by troglitazone in breast cancer cells: Relationship to mitochondrial membrane potential. Journal of Cellular Physiology. 226(2). 511–519. 30 indexed citations
9.
Turturro, Francesco. (2009). Beyond the Knudson’s hypothesis in von Hippel–Lindau (VHL) disease—proposing vitronectin as a “gene modifier”. Journal of Molecular Medicine. 87(6). 591–593. 2 indexed citations
10.
Maris, Michael B., Farhad Ravandi, Robert K. Stuart, et al.. (2009). A phase II study of voreloxin as single agent therapy for elderly patients (pts) with newly diagnosed acute myeloid leukemia (AML). Journal of Clinical Oncology. 27(15_suppl). 7048–7048. 4 indexed citations
11.
Turturro, Francesco, et al.. (2006). Role of hyperglycemia-induced thioredoxin-interacting protein (TXNIP) in metastatic breast cancer. Cancer Research. 66. 100–100. 2 indexed citations
12.
Turturro, Francesco, et al.. (2006). Troglitazone and pioglitazone interactions via PPAR-γ-independent and -dependent pathways in regulating physiological responses in renal tubule-derived cell lines. American Journal of Physiology-Cell Physiology. 292(3). C1137–C1146. 32 indexed citations
13.
Dang, Nam H., Barbara Pro, Fredrick B. Hagemeister, et al.. (2006). Phase II trial of denileukin diftitox for relapsed/refractory T‐cell non‐Hodgkin lymphoma. British Journal of Haematology. 136(3). 439–447. 97 indexed citations
14.
Turturro, Francesco, Bianca Rocca, Stefano Gumina, et al.. (2005). Impaired primary hemostasis with normal platelet function in Duchenne muscular dystrophy during highly-invasive spinal surgery. Neuromuscular Disorders. 15(8). 532–540. 28 indexed citations
15.
Kuriakose, Philip, et al.. (2005). A phase II study of denileukin diftitox (ONTAK) in patients with fludarabine-refractory B-cell chronic lymphocytic leukemia. Journal of Clinical Oncology. 23(16_suppl). 6649–6649. 4 indexed citations
16.
Oliver, Robert, et al.. (2005). Troglitazone's rapid and sustained activation of ERK1/2 induces cellular acidosis in LLC-PK1-F+cells: physiological responses. American Journal of Physiology-Renal Physiology. 288(6). F1257–F1266. 10 indexed citations
17.
Sallah, Sabah, et al.. (2004). Plasma Coagulation Markers in Patients with Solid Tumors and Venous Thromboembolic Disease Receiving Oral Anticoagulation Therapy. Clinical Cancer Research. 10(21). 7238–7243. 42 indexed citations
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Turturro, Francesco, et al.. (2000). Adenovirus-p53-mediated gene therapy of anaplastic large cell lymphoma with t(2;5) in a nude mouse model. Gene Therapy. 7(11). 930–933. 20 indexed citations

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.

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