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

Alina Renz

University of Tübingen

ORCID: 0000-0003-3851-9978
Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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 4%percentile
0.649Author 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.

An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism

npj Systems Biology and Applications(2021)10.1038/s41540-021-00198-2
Top 31%
0.649DataRank
Top 31%24 citations

Alina Renz, Laura J. Dunphy, Taylor Lewis, Andreas Dräger, Jason A. Papin +1 more

Papers

Driven by 3 papers — median percentile 35. Top paper: “Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19”.

Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19

Immunity(2020)10.1016/j.immuni.2020.11.017
N/A
0.901DataRank · unranked
405 citations

Neha Mishra, Florian Tran, Thomas Bahmer, Lena Best, Johanna I. Blase +169 more

An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism

npj Systems Biology and Applications(2021)10.1038/s41540-021-00198-2
Top 31%
0.649DataRank
Top 31%24 citations

Alina Renz, Laura J. Dunphy, Taylor Lewis, Andreas Dräger, Jason A. Papin +1 more

An updated genome-scale metabolic network reconstruction of Pseudomonas aeruginosa PA14 to characterize mucin-driven shifts in bacterial metabolism

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.10.434463
Top 100%
0DataRank
Top 100%0 citations

Alina Renz, Laura J. Dunphy, Taylor Lewis, Andreas Dräger, Jason A. Papin +1 more