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

Rose Yu

University of California San Diego

ORCID: 0000-0002-8491-7937
Computer SciencePhysics and AstronomyBiochemistry, 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 2%percentile
2.3Author 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 United States COVID-19 Forecast Hub dataset

Scientific Data(2022)10.1038/s41597-022-01517-w
Top 9%
2.3DataRank
Top 9%131 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +95 more

Papers

Driven by 7 papers — median percentile 91. Top paper: “The United States COVID-19 Forecast Hub dataset”.

The United States COVID-19 Forecast Hub dataset

Scientific Data(2022)10.1038/s41597-022-01517-w
Top 9%
2.3DataRank
Top 9%131 citations

Yuxin Huang, Yijin Wang, Evan L Ray, Matthew Cornell, Johannes Bracher +95 more

SELFIES and the future of molecular string representations

Patterns(2022)10.1016/j.patter.2022.100588
N/A
0DataRank · unranked
271 citations

Qianxiang Ai, Senja Barthel, Nessa Carson, Angelo Frei, Nathan C. Frey +26 more

Quantifying Uncertainty in Deep Spatiotemporal Forecasting

(2021)10.1145/3447548.3467325
N/A
0DataRank · unranked
54 citations

Liyao Gao, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Yi-An Ma +2 more

Improving the generalizability of protein-ligand binding predictions with AI-Bind

Nature Communications(2023)10.1038/s41467-023-37572-z
N/A
0DataRank · unranked
157 citations

Robin Walters, Zohair Shafi, Omair Shafi Ahmed, Michael Sebek, Deisy Morselli Gysi +5 more

Collagen 18A1/Endostatin Expression in the Progression of Right Ventricular Remodeling and Dysfunction in Pulmonary Arterial Hypertension

American Journal of Respiratory Cell and Molecular Biology(2024)10.1165/rcmb.2024-0039oc
N/A
0DataRank · unranked
10 citations

Mario Naranjo, Tijana Tuhy, Rose Yu, Mery Marimoutou, Allen D. Everett +9 more

Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings

Nature Communications(2025)10.1038/s41467-024-55571-6
N/A
0DataRank · unranked
15 citations

Yang Yang, Ethan Foster, Ching‐Ting Tsai, Dhivya Pushpa Meganathan, Diego D. Alvarez +8 more

Multi-fidelity Hierarchical Neural Processes

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(2022)10.1145/3534678.3539364
N/A
0DataRank · unranked
7 citations

Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu, Dongxia Wu