Francesco Napolitano

About Francesco Napolitano

Francesco Napolitano, With an exceptional h-index of 17 and a recent h-index of 13 (since 2020), a distinguished researcher at King Abdullah University of Science and Technology, specializes in the field of Systems Biology, Systems Pharmacology, Bioinformatics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Identification of therapeutic targets in osteoarthritis by combining heterogeneous transcriptional datasets, drug-induced expression profiles, and known drug-target interactions

Identification of treatment-responsive genes in spatial transcriptomics data by leveraging injection site information

AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data

Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies

Special issue on computational biology and bioinformatic applications to the COVID-19 pandemic

Computer-aided drug repurposing for cancer therapy: approaches and opportunities to challenge anticancer targets

Transcriptomic analysis identifies organ-specific metastasis genes and pathways across different primary sites

Automatic identification of small molecules that promote cell conversion and reprogramming

Francesco Napolitano Information

University

Position

(KAUST)

Citations(all)

1274

Citations(since 2020)

866

Cited By

744

hIndex(all)

17

hIndex(since 2020)

13

i10Index(all)

24

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Francesco Napolitano Skills & Research Interests

Systems Biology

Systems Pharmacology

Bioinformatics

Machine Learning

Top articles of Francesco Napolitano

Title

Journal

Author(s)

Publication Date

Identification of therapeutic targets in osteoarthritis by combining heterogeneous transcriptional datasets, drug-induced expression profiles, and known drug-target interactions

Journal of Translational Medicine

Maria Claudia Costa

Claudia Angelini

Monica Franzese

Concetta Iside

Marco Salvatore

...

2024/3/15

Identification of treatment-responsive genes in spatial transcriptomics data by leveraging injection site information

bioRxiv

Felicita Pia Masone

Francesco Napolitano

2023

AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data

bioRxiv

Zhongxiao Li

Antonella Napolitano

Monica Fedele

Xin Gao

Francesco Napolitano

2023

Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies

Francesco Napolitano

Xiaopeng Xu

Xin Gao

2022/1

Special issue on computational biology and bioinformatic applications to the COVID-19 pandemic

Francesco Napolitano

Xin Gao

2022

Computer-aided drug repurposing for cancer therapy: approaches and opportunities to challenge anticancer targets

Carla Mottini

Francesco Napolitano

Zhongxiao Li

Xin Gao

Luca Cardone

2021/1/1

Transcriptomic analysis identifies organ-specific metastasis genes and pathways across different primary sites

Journal of Translational Medicine

Lin Zhang

Ming Fan

Francesco Napolitano

Xin Gao

Ying Xu

...

2021/12

Automatic identification of small molecules that promote cell conversion and reprogramming

Stem cell reports

Francesco Napolitano

Trisevgeni Rapakoulia

Patrizia Annunziata

Akira Hasegawa

Melissa Cardon

...

2021/5/11

Fat induces glucose metabolism in nontransformed liver cells and promotes liver tumorigenesis

Cancer research

Lindsay A Broadfield

João André Gonçalves Duarte

Roberta Schmieder

Dorien Broekaert

Koen Veys

...

2021/4/15

MetaCancer: a deep learning-based pan-cancer metastasis prediction model developed using multi-omics data

Computational and Structural Biotechnology Journal

Somayah Albaradei

Francesco Napolitano

Maha A Thafar

Takashi Gojobori

Magbubah Essack

...

2021/1/1

gep2pep: a bioconductor package for the creation and analysis of pathway-based expression profiles

Farancesco Napolitano

Diego Carrella

Xin Gao

Diego Di Bernardo

2020/3/15

Pharmacoproteomics pinpoints HSP70 interaction for correction of the most frequent Wilson disease-causing mutant of ATP7B

Proceedings of the National Academy of Sciences

Mafalda Concilli

Raffaella Petruzzelli

Silvia Parisi

Federico Catalano

Francesco Sirci

...

2020/12/22

A Siamese neural network model for the prioritization of metabolic disorders by integrating real and simulated data

Bioinformatics

Gian Marco Messa

Francesco Napolitano

Sarah H Elsea

Diego di Bernardo

Xin Gao

2020/12

Automated counting of colony forming units using deep transfer learning from a model for congested scenes analysis

IEEE Access

Somayah A Albaradei

Francesco Napolitano

Mahmut Uludag

Maha Thafar

Sara Napolitano

...

2020/9/3

Computational drug repositioning and elucidation of mechanism of action of compounds against sars-cov-2

arXiv preprint arXiv:2004.07697

Francesco Napolitano

Gennaro Gambardella

Diego Carrella

Xin Gao

Diego di Bernardo

2020/4/16

See List of Professors in Francesco Napolitano University(King Abdullah University of Science and Technology)

Co-Authors

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