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

Lucas Pelkmans

University of Zurich

ORCID: 0000-0002-6754-9730

Also affiliated with Life Science Zurich

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 7%percentile
0.104Author 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.

4i dataset for "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps"

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.7299516
Top 78%
0.104DataRank
Top 78%1 citations

Scott M. Berry, Lucas Pelkmans, Fabian Joachim Theis, Hannah Spitzer

Papers

Driven by 5 papers — median percentile 11. Top paper: “OME-Zarr: a cloud-optimized bioimaging file format with international community support”.

OME-Zarr: a cloud-optimized bioimaging file format with international community support

Histochemistry and Cell Biology(2023)10.1007/s00418-023-02209-1
N/A
2.8DataRank · unranked
123 citations

Daniela Basurto-Lozada, Sébastien Besson, John Bogovic, Jordão Bragantini, Eva Maxfield Brown +64 more

Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps

Nature Methods(2023)10.1038/s41592-023-01894-z
N/A
0.457DataRank · unranked
20 citations

Scott M. Berry, Mark W. Donoghoe, Lucas Pelkmans, Fabian Joachim Theis, Hannah Spitzer

Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.07.490900
N/A
0.208DataRank · unranked
3 citations

Scott M. Berry, Mark W. Donoghoe, Lucas Pelkmans, Fabian Joachim Theis, Hannah Spitzer

4i dataset for "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps"

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.7299516
Top 78%
0.104DataRank
Top 78%1 citations

Scott M. Berry, Lucas Pelkmans, Fabian Joachim Theis, Hannah Spitzer

4i dataset for "Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps"

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.7299515
Top 100%
0DataRank
Top 100%0 citations

Scott M. Berry, Lucas Pelkmans, Fabian Joachim Theis, Hannah Spitzer