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

Annika L. Gable

Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland

ORCID: 0000-0002-8965-0848

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 1%percentile
20.5Author DataRank

Indexed papers

3in 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 3 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.

STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

Nucleic Acids Research(2018)10.1093/nar/gky1131
Top 2%
8.0DataRank
Top 2%19331 citations

Annika L. Gable, David Lyon, Alexander Junge, Stefan Wyder, Jaime Huerta-Cepas +7 more

Papers

Driven by 3 papers — median percentile 97. Top paper: “STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets”.

STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

Nucleic Acids Research(2018)10.1093/nar/gky1131
Top 2%
8.0DataRank
Top 2%19331 citations

Annika L. Gable, David Lyon, Alexander Junge, Stefan Wyder, Jaime Huerta-Cepas +7 more

The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets

Nucleic Acids Research(2020)10.1093/nar/gkaa1074
Top 3%
6.6DataRank
Top 3%8664 citations

Annika L. Gable, David Lyon, Rebecca Kirsch, Sampo Pyysalo, Nadezhda T. Doncheva +7 more

The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

Nucleic Acids Research(2022)10.1093/nar/gkac1000
Top 3%
5.8DataRank
Top 3%9034 citations

Rebecca Kirsch, Mikaela Koutrouli, Katerina Nastou, Farrokh Mehryary, Radja Hachilif +8 more