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

Helena Friesen

University of Toronto

ORCID: 0000-0001-8925-7440
Biochemistry, Genetics and Molecular BiologyChemistry

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 2%percentile
2.4Author 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.

A genome‐scale yeast library with inducible expression of individual genes

Molecular Systems Biology(2021)10.15252/msb.202110207
Top 11%
1.9DataRank
Top 11%74 citations

Griffin Kim, Zhijian Li, Helena Friesen, Gina Turco, Rebecca Y. Wang +10 more

Papers

Driven by 9 papers — median percentile 76. Top paper: “A genome‐scale yeast library with inducible expression of individual genes”.

A genome‐scale yeast library with inducible expression of individual genes

Molecular Systems Biology(2021)10.15252/msb.202110207
Top 11%
1.9DataRank
Top 11%74 citations

Griffin Kim, Zhijian Li, Helena Friesen, Gina Turco, Rebecca Y. Wang +10 more

A genome-scale yeast library with inducible expression of individual genes

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.30.424776
Top 38%
0.512DataRank
Top 38%9 citations

Griffin Kim, Zhijian Li, Helena Friesen, Gina Turco, Rebecca Y. Wang +10 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

Single-cell imaging of protein dynamics of paralogs reveals mechanisms of gene retention

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.23.568466
N/A
0DataRank · unranked
2 citations

Mikhail Papkov, Brittany M. Greco, Dmytro Fishman, Helena Friesen, Kyle Wang +8 more

Proteome-scale movements and compartment connectivity during the eukaryotic cell cycle

Cell(2024)10.1016/j.cell.2024.02.014
N/A
0DataRank · unranked
37 citations

Benjamin Grys, Oren Kraus, Helena Friesen, Catherine Ross, Myra Paz David Masinas +10 more

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

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

Protocol for cell image-based spatiotemporal proteomics in budding yeast

STAR Protocols(2025)10.1016/j.xpro.2024.103577
N/A
0DataRank · unranked
0 citations

Myra Paz David Masinas, Helena Friesen, Charles Boone, Brenda Andrews, Athanasios Litsios

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