Martina Tufano

Cedars-Sinai Medical Center — United States

Medicine · Health Sciences

11h-index422citations93works0.32yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(56), Glioma Diagnosis and Treatment(31), Health Systems, Economic Evaluations, Quality of Life(12), Immune Cell Function and Interaction(10), Signaling Pathways in Disease(10)

Publications93 total

Concurrent loss of the Y chromosome in cancer and T cells impacts outcome
Nature·2025· 18 citedOpen Access
Exploring the potential of selective FKBP51 inhibitors on melanoma: an investigation of their in vitro and in vivo effects
Cell Death Discovery·2025· 2 citedOpen Access
Supplementary Figure S1 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Table S1 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary Figure S9 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary Figure S14 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary Figure S6 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary immunophenotyping from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Table S5 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
TABLE 1 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Table S7 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary Figure S8 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary Figure S1 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
FIGURE 4 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Table S6 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary immunophenotyping from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary Figure S5 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Data from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Supplementary Figure S3 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
Table S5 from The FKBP51s Splice Isoform Predicts Unfavorable Prognosis in Patients with Glioblastoma
2024Open Access
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Frequent Co-authors

Simona Romano(45), Maria Fiammetta Romano(44), Laura Marrone(31), Carolina Giordano(30), Giuseppe Maria Della Pepa(28), Marco Gessi(28), Alessandro Olivi(28), Simona Gaudino(28), Carlo Maria Donzelli(27), Mario Capasso(27), Vito Alessandro Lasorsa(27), Cristina Quintavalle(27), Giulia Guerri(27), Matia Martucci(27), Annamaria Auricchio(27), Evis Sala(27), Paolo D’Arrigo(10), Anna Rea(7), Roberto Pacelli(4), Stefania Staibano(4)