🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Mojca Mattiazzi Ušaj

Metropolitan University

ORCID: 0000-0002-7389-8478

Also affiliated with Toronto Metropolitan University

Biochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects

INDIGO (University of Illinois at Chicago)(2023)10.32920/22149035.v1
Top 100%
0DataRank
Top 100%0 citations

Mojca Mattiazzi Ušaj, Matej Ušaj, Charles Boone, Brenda Andrews, Myra Paz David Masinas

Papers

Driven by 8 papers — median percentile 0. Top paper: “Exploring whole-genome duplicate gene retention with complex genetic interaction analysis”.

Exploring whole-genome duplicate gene retention with complex genetic interaction analysis

Science(2020)10.1126/science.aaz5667
N/A
3.1DataRank · unranked
125 citations

Benjamin VanderSluis, Alex N Nguyen Ba, Wen Wang, Elizabeth N. Koch, Matej Ušaj +15 more

Systematic genetics and single‐cell imaging reveal widespread morphological pleiotropy and cell‐to‐cell variability

Molecular Systems Biology(2020)10.15252/msb.20199243
N/A
0DataRank · unranked
64 citations

Nil Sahin, Helena Friesen, Carles Pons, Matej Ušaj, Myra Paz David Masinas +7 more

Single-cell image analysis to explore cell-to-cell heterogeneity in isogenic populations

Cell Systems(2021)10.1016/j.cels.2021.05.010
N/A
0DataRank · unranked
52 citations

Clarence Hue Lok Yeung, Helena Friesen, Charles Boone, Brenda Andrews, Mojca Mattiazzi Ušaj

Identification of triazenyl indoles as inhibitors of fungal fatty acid biosynthesis with broad-spectrum activity

Cell chemical biology(2023)10.1016/j.chembiol.2023.06.005
N/A
0DataRank · unranked
28 citations

Sheena C. Li, Nicole M. Revie, Jennifer W. Lou, Dustin Duncan, Sara Fallah +23 more

PIFiA: Self-supervised Approach for Protein Functional Annotation from Single-Cell Imaging Data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.24.529975
N/A
0DataRank · unranked
4 citations

Alexander Brechalov, Helena Friesen, Mojca Mattiazzi Ušaj, Myra Paz David Masinas, Harsha Garadi Suresh +5 more

TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects

INDIGO (University of Illinois at Chicago)(2023)10.32920/22149035.v1
Top 100%
0DataRank
Top 100%0 citations

Mojca Mattiazzi Ušaj, Matej Ušaj, Charles Boone, Brenda Andrews, Myra Paz David Masinas

TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects

(2023)10.32920/22149035
Top 100%
0DataRank
Top 100%0 citations

Mojca Mattiazzi Ušaj, Matej Ušaj, Charles Boone, Brenda Andrews, Myra Paz David Masinas

PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data

Molecular Systems Biology(2024)10.1038/s44320-024-00029-6
N/A
0DataRank · unranked
14 citations

Alexander Brechalov, Helena Friesen, Mojca Mattiazzi Ušaj, Myra Paz David Masinas, Harsha Garadi Suresh +5 more