Antonio Ruggiero

Faculty Profile Webpagehttps://docenti.unicatt.it/ppd2/linkPpdDocente?cod_docente=15258

Research activity per year

Academic discipline

MEDS-20/A - Paediatrics

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Dive into the research topics where Antonio Ruggiero is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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235 Article
2 Editorial
1 Book
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- 1 Abstract

Antiproliferative and Antimigratory Effects of mTOR Inhibitors in Paediatric Low-grade Gliomas Models. A Comparison between Rapamycin and Sapanisertib
MICHELA, P., CHIARA, F., MICHELA, G., PIA, C. G. M., Ruggiero, A., Navarra, P. & Lisi, L., 2025, p. 1-12. 12 p.
Research output: Contribution to conference › Abstract
Burnout in Pediatric Oncology: Team Building and Clay Therapy as a Strategy to Improve Emotional Climate and Group Dynamics in a Nursing Staff
Guido, A., Peruzzi, L., Tibuzzi, M., Sannino, S., Dario, L., Petruccini, G., Stella, C., Viteritti, A. M., Becciu, A., Bianchini, F., Cucculelli, D., Di Lauro, C., Paglialonga, I., Pianezzi, S., Pistilli, R., Russo, S., Adamo, P., Chieffo, D. P. R., Talloa, D. & Romano, A. & 1 others, Ruggiero, A., 2025, In: Cancers. 17, 7, p. N/A-N/A
Research output: Contribution to journal › Article
SPATIAL ANALYSIS IDENTIFIES CD147 AS A NOVEL MARKER OF HIGH-GRADE CHILDHOOD POSTERIOR FOSSA EPENDYMOMA.
Lucchetti, D., Colella, F., d'Amati, A., Servidei, T., Gessi, M., Parillo, C., Cellini, B., Toma, F., Giacò, L., Persiani, F., Perelli, L., Mantini, G., Genovese, G., Masetto, I., Ruggiero, A. & Sgambato, A., 2025, In: Laboratory Investigation. 105, p. N/A-N/A
Research output: Contribution to journal › Article
Surgical Treatment of Solid Pseudopapillary Tumor in Pediatric Patients: Two Case Reports and a Brief Narrative Review
Talloa, D., Cordaro, S., Attinà, G., Mastrangelo, S., Romano, A., Fregola, A., Maurizi, P., Nanni, L. & Ruggiero, A., 2025, In: Case Reports in Oncological Medicine. 2025, 1, p. N/A-N/A
Research output: Contribution to journal › Article
Anthropometric parameters as a tool for the prediction of metabolic and cardiovascular risk in childhood brain tumor survivors
Romano, A., Masino, M., Rivetti, S., Mastrangelo, S., Attinà, G., Maurizi, P. & Ruggiero, A., 2024, In: Diabetology and Metabolic Syndrome. 16, 1, p. N/A-N/A
Research output: Contribution to journal › Article

Additional file 2 of Intranasal human-recombinant NGF administration improves outcome in children with post-traumatic unresponsive wakefulness syndrome
Gatto, A. (Creator), Capossela, L. (Creator), Conti, G. (Creator), Eftimiadi, G. (Creator), Ferretti, S. (Creator), Manni, L. (Creator), Curatola, A. (Creator), Graglia, B. (Creator), Di Sarno, L. (Creator), Calcagni, M. L. (Creator), Di Giuda, D. (Creator), Cecere, S. (Creator), Romeo, D. M. (Creator), Soligo, M. (Creator), Picconi, E. (Creator), Piastra, M. (Creator), Della Marca, G. (Creator), Staccioli, S. (Creator), Ruggiero, A. (Creator), Cocciolillo, F. (Creator), Pulitanò, S. (Creator) & Chiaretti, A. (Creator), figshare, 2023
DOI: 10.6084/m9.figshare.24597877, https://springernature.figshare.com/articles/figure/Additional_file_2_of_Intranasal_human-recombinant_NGF_administration_improves_outcome_in_children_with_post-traumatic_unresponsive_wakefulness_syndrome/24597877
Dataset
Contactless: a new personalised telehealth model in chronic pediatric diseases and disability during the COVID-19 era
Mercuri, E. (Creator), Zampino, G. (Creator), Morsella, A. (Creator), Pane, M. (Creator), Onesimo, R. (Creator), Angioletti, C. (Creator), Valentini, P. (Creator), Rendeli, C. (Creator), Ruggiero, A. (Creator), Nanni, L. (Creator), Chiaretti, A. (Creator), Vento, G. (Creator), Korn, D. (Creator), Meneschincheri, E. (Creator), Sergi, P. (Creator), Scambia, G. (Creator), Ricciardi, W. (Creator), Cambieri, A. (Creator) & De Belvis, A. G. (Contributor), figshare, 2021
DOI: 10.6084/m9.figshare.c.5303960, https://springernature.figshare.com/collections/Contactless_a_new_personalised_telehealth_model_in_chronic_pediatric_diseases_and_disability_during_the_COVID-19_era/5303960
Dataset
Additional file 1 of Intranasal human-recombinant NGF administration improves outcome in children with post-traumatic unresponsive wakefulness syndrome
Gatto, A. (Creator), Capossela, L. (Creator), Conti, G. (Creator), Eftimiadi, G. (Creator), Ferretti, S. (Creator), Manni, L. (Creator), Curatola, A. (Creator), Graglia, B. (Creator), Di Sarno, L. (Creator), Calcagni, M. L. (Creator), Di Giuda, D. (Creator), Cecere, S. (Creator), Romeo, D. M. (Creator), Soligo, M. (Creator), Picconi, E. (Creator), Piastra, M. (Creator), Della Marca, G. (Creator), Staccioli, S. (Creator), Ruggiero, A. (Creator), Cocciolillo, F. (Creator), Pulitanò, S. (Creator) & Chiaretti, A. (Creator), figshare, 2023
DOI: 10.6084/m9.figshare.24597874, https://springernature.figshare.com/articles/figure/Additional_file_1_of_Intranasal_human-recombinant_NGF_administration_improves_outcome_in_children_with_post-traumatic_unresponsive_wakefulness_syndrome/24597874
Dataset
Can we optimise doxorubicin treatment regimens for children with cancer? Pharmacokinetic simulations and a Delphi consensus procedure
Siebel, C. (Creator), Würthwein, G. (Creator), Lanvers-Kaminsky, C. (Creator), André, N. (Creator), Berthold, F. (Creator), Castelli, I. (Creator), Chastagner, P. (Creator), Doz, F. (Creator), English, M. (Creator), Escherich, G. (Creator), Frühwald, M. C. (Creator), Graf, N. (Creator), Groll, A. H. (Creator), Ruggiero, A. (Creator), Hempel, G. (Creator) & Boos, J. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.4997645, https://springernature.figshare.com/collections/Can_we_optimise_doxorubicin_treatment_regimens_for_children_with_cancer_Pharmacokinetic_simulations_and_a_Delphi_consensus_procedure/4997645
Dataset
Can we optimise doxorubicin treatment regimens for children with cancer? Pharmacokinetic simulations and a Delphi consensus procedure
Siebel, C. (Creator), Würthwein, G. (Creator), Lanvers-Kaminsky, C. (Creator), André, N. (Creator), Berthold, F. (Creator), Castelli, I. (Creator), Chastagner, P. (Creator), Doz, F. (Creator), English, M. (Creator), Escherich, G. (Creator), Frühwald, M. C. (Creator), Graf, N. (Creator), Groll, A. H. (Creator), Ruggiero, A. (Creator), Hempel, G. (Creator) & Boos, J. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.4997645.v1, https://springernature.figshare.com/collections/Can_we_optimise_doxorubicin_treatment_regimens_for_children_with_cancer_Pharmacokinetic_simulations_and_a_Delphi_consensus_procedure/4997645/1
Dataset

Antonio Ruggiero

Personal profile

Academic discipline

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Collaborations and top research areas from the last five years

Dive into details

Antiproliferative and Antimigratory Effects of mTOR Inhibitors in Paediatric Low-grade Gliomas Models. A Comparison between Rapamycin and Sapanisertib

Burnout in Pediatric Oncology: Team Building and Clay Therapy as a Strategy to Improve Emotional Climate and Group Dynamics in a Nursing Staff

SPATIAL ANALYSIS IDENTIFIES CD147 AS A NOVEL MARKER OF HIGH-GRADE CHILDHOOD POSTERIOR FOSSA EPENDYMOMA.

Surgical Treatment of Solid Pseudopapillary Tumor in Pediatric Patients: Two Case Reports and a Brief Narrative Review

Anthropometric parameters as a tool for the prediction of metabolic and cardiovascular risk in childhood brain tumor survivors

Additional file 2 of Intranasal human-recombinant NGF administration improves outcome in children with post-traumatic unresponsive wakefulness syndrome

Contactless: a new personalised telehealth model in chronic pediatric diseases and disability during the COVID-19 era

Additional file 1 of Intranasal human-recombinant NGF administration improves outcome in children with post-traumatic unresponsive wakefulness syndrome

Can we optimise doxorubicin treatment regimens for children with cancer? Pharmacokinetic simulations and a Delphi consensus procedure

Can we optimise doxorubicin treatment regimens for children with cancer? Pharmacokinetic simulations and a Delphi consensus procedure

Antonio Ruggiero

Personal profile

Academic discipline

Fingerprint

Collaborations and top research areas from the last five years

Research output

Datasets