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

Efrat Muller

Tel Aviv University

ORCID: 0000-0002-0193-0686

Also affiliated with University of Cambridge

Biochemistry, Genetics and Molecular BiologyMedicine

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
1.9Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

The gut microbiome-metabolome dataset collection: a curated resource for integrative meta-analysis

npj Biofilms and Microbiomes(2022)10.1038/s41522-022-00345-5
Top 11%
1.9DataRank
Top 11%80 citations

Yadid M. Algavi, Elhanan Borenstein, Efrat Muller

Papers

Driven by 8 papers — median percentile 89. Top paper: “The gut microbiome-metabolome dataset collection: a curated resource for integrative meta-analysis”.

The gut microbiome-metabolome dataset collection: a curated resource for integrative meta-analysis

npj Biofilms and Microbiomes(2022)10.1038/s41522-022-00345-5
Top 11%
1.9DataRank
Top 11%80 citations

Yadid M. Algavi, Elhanan Borenstein, Efrat Muller

MIMOSA2: a metabolic network-based tool for inferring mechanism-supported relationships in microbiome-metabolome data

Bioinformatics(2022)10.1093/bioinformatics/btac003
N/A
0DataRank · unranked
78 citations

Alexander Eng, Efrat Muller, Elhanan Borenstein, Cecilia Noecker

Multi-omic integration of microbiome data for identifying disease-associated modules

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.03.547607
N/A
0DataRank · unranked
1 citations

Itamar Shiryan, Elhanan Borenstein, Efrat Muller

Multi-omic integration of microbiome data for identifying disease-associated modules

Nature Communications(2024)10.1038/s41467-024-46888-3
N/A
0DataRank · unranked
92 citations

Itamar Shiryan, Elhanan Borenstein, Efrat Muller

Aging at scale: Younger dogs and larger breeds from the Dog Aging Project show accelerated epigenetic aging

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.03.616519
N/A
0DataRank · unranked
7 citations

Blaise L. Mariner, Claire F. Cheng, Elizabeth Slikas, Christine Adjangba, Ashlee Greenier +14 more

Protein catabolites as blood-based biomarkers of aging physiology: Findings from the Dog Aging Project

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.17.618956
N/A
0DataRank · unranked
3 citations

Maria Partida‐Aguilar, Abbey Marye, Danijel Djukovic, Mandy Kauffman, Matthew D. Dunbar +13 more

A meta-analysis study of the robustness and universality of gut microbiome-metabolome associations

Microbiome(2021)10.1186/s40168-021-01149-z
N/A
0DataRank · unranked
70 citations

Yadid M. Algavi, Elhanan Borenstein, Efrat Muller

Protein Catabolites as Blood‐Based Biomarkers of Aging Physiology: Findings From the Dog Aging Project

Aging Cell(2025)10.1111/acel.70226
N/A
0DataRank · unranked
1 citations

Maria Partida‐Aguilar, Abbey Marye, Danijel Djukovic, Mandy Kauffman, Matthew D. Dunbar +13 more