Cristian Taccioli
Biochemistry, Genetics and Molecular Biology · The Ohio State University
Publications
164
Citations
10,805
Est. group size
~1
Recurring co-author estimate
Active years
23
Publishing since 2004
Cristian Taccioli's research focuses on molecular and computational biology topics such as microRNAs and cancer, genomic diversity across life forms, and applying machine learning and AI tools to problems in genetics and drug design. Work spans wet-lab molecular studies (e.g., cancer cell lines, transposable elements) and computational/bioinformatics projects (e.g., genomic databases, deep learning classification of organisms). This suggests a research approach that bridges experimental molecular biology with data-driven computational methods.
Publication output has fluctuated over the last decade, with a notable peak in 2023 followed by a decline in 2024-2025, though several 2026 publications suggest continued activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- MiRNAs: a call to arms that shapes the plasticity of tumor associated macrophages in breast cancer
Frontiers in Immunology · 2026
- LLMsFold: Integrating Large Language Models and Biophysical Simulations for De Novo Drug Design
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- MicroRNAs and predicted targets in the switch from monolayered to spheroids of cholangiocarcinoma cells
Experimental and Molecular Pathology · 2026
- Generalized Chargaff symmetry in codon usage across the tree of life
Open MIND · 2026
- Generalized Chargaff symmetry in codon usage across the tree of life
Zenodo (CERN European Organization for Nuclear Research) · 2026
- GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life
Molecular Biology and Evolution · 2025
- Transcriptomics Studies Reveal Functions of Transglutaminase 2 in Breast Cancer Cells Using Membrane Permeable and Impermeable Inhibitors
Journal of Molecular Biology · 2024
- Machine learning classification of archaea and bacteria identifies novel predictive genomic features
BMC Genomics · 2024
- TumFlow: An AI Model for Predicting New Anticancer Molecules
International Journal of Molecular Sciences · 2024
- State‐of‐the‐art in transposable element modulation affected by drugs in malignant prostatic cancer cells
Journal of Cellular Biochemistry · 2024
- TumFlow: An AI Model for Predicting New Anticancer Molecules
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Micrornas and Predicted Targets in the Switch from Monolayered and Spheroids of Cholangiocarcinoma Cells
SSRN Electronic Journal · 2024
- GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Uncovering Patterns in Dairy Cow Behaviour: A Deep Learning Approach with Tri-Axial Accelerometer Data
Animals · 2023
- Comparative analysis of bats and rodents’ genomes suggests a relation between non-LTR retrotransposons, cancer incidence, and ageing
Scientific Reports · 2023
- Figshare×12
- bioRxiv (Cold Spring Harbor Laboratory)×9
- Cancer Cell×4
- Scientific Reports×3
- Journal of Molecular Evolution×2
- Jean‐Jacques Michaille
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Carlo M. Croce
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Esmerina Tili
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Francesca Lovat
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Xiaoping Wan
Biochemistry, Genetics and Molecular Biology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile