Ivan Mičetić

University of Padua — Italy

Biochemistry, Genetics and Molecular Biology · Life Sciences

16h-index2.3kcitations50works0.52yr avg
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Research Topics

Protein Structure and Dynamics(12), Scientific Computing and Data Management(10), Research Data Management Practices(9), Enzyme Structure and Function(6), Nanoparticles: synthesis and applications(5)

Publications50 total

Using text-mining to measure the scientific impact and legacy of ELIXIR, a distributed research infrastructure for life science data
F1000Research·2025Open Access
Using text-mining to measure the scientific impact and legacy of ELIXIR, a distributed research infrastructure for life science data
F1000Research·2025Open Access
DRMAAtic: dramatically improve your cluster potential
Bioinformatics Advances·2024Open Access
Using text-mining to measure the scientific impact and legacy of ELIXIR, a distributed research infrastructure for life science data
F1000Research·2024Open Access
A research data management (RDM) community for ELIXIR
F1000Research·2024· 1 citedOpen Access
A research data management (RDM) community for ELIXIR
F1000Research·2024· 2 citedOpen Access
Improving Bioschemas creation and community adoption through process improvements, tool development, and advancing compliance to FAIR standards
2024· 1 citedOpen Access
Bioschemas Resource Index for Chem and Plants
2024Open Access
Enabling profile updates through the Data Discovery Engine (DDE)
2023· 1 citedOpen Access
ELIXIR-CONVERGE - D1.4 ELIXIR Best Practices recommendations
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
ELIXIR-CONVERGE - D1.3 A pan-European model for data management in life sciences
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
An ETL pipeline to construct the Intrinsically Disordered Proteins Knowledge Graph (IDP-KG) using Bioschemas JSON-LD data dumps
2022· 3 citedOpen Access
Bioschemas data harvesting project report
2022· 2 citedOpen Access
Exploiting Bioschemas Markup to Populate IDPcentral
2021· 8 citedOpen Access
Critical assessment of protein intrinsic disorder prediction
Nature Methods·2021· 355 citedOpen Access
Correction: Spatiotemporal distribution and speciation of silver nanoparticles in the healing wound
The Analyst·2021Open Access
MobiDB: intrinsically disordered proteins in 2021
Nucleic Acids Research·2020· 245 citedOpen Access
RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures
Nucleic Acids Research·2020· 56 citedOpen Access
Spatiotemporal distribution and speciation of silver nanoparticles in the healing wound
The Analyst·2020· 8 citedOpen Access
DisProt: intrinsic protein disorder annotation in 2020
Nucleic Acids Research·2019· 245 citedOpen Access
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Frequent Co-authors

Silvio C. E. Tosatto(15), Damiano Piovesan(9), Marco Necci(8), Wim Vranken(7), Zsuzsanna Dosztányi(7), András Hatos(7), Norman E. Davey(7), Federico Benetti(7), Andrey V. Kajava(6), Alexander Miguel Monzón(6), Federica Quaglia(6), Éva Schád(6), Péter Tompa(6), Jordi Pujols(5), Salvador Ventura(5), Gustavo Parisi(5), Arne Elofsson(5), Giovanni Minervini(5), Lisanna Paladin(5), Emanuela Leonardi(5)