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

Andrea J. Liu

Santa Fe Institute

ORCID: 0000-0002-2295-2729

Also affiliated with California University of Pennsylvania

Materials 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 1%percentile

5.1Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Data Resource Profile: COVerAGE-DB: a global demographic database of COVID-19 cases and deaths

International Journal of Epidemiology(2021)10.1093/ije/dyab027

Top 4%

5.1DataRank

Top 4%106 citations

Enrique Acosta, the COVerAGE-DB team, Enrique José Acosta, Diego Manuel Aburto, Anna Alburez-Gutierrez +66 more

Papers

Driven by 14 papers — median percentile 96. Top paper: “Data Resource Profile: COVerAGE-DB: a global demographic database of COVID-19 cases and deaths”.

Data Resource Profile: COVerAGE-DB: a global demographic database of COVID-19 cases and deaths

International Journal of Epidemiology(2021)10.1093/ije/dyab027

Top 4%

5.1DataRank

Top 4%106 citations

Enrique Acosta, the COVerAGE-DB team, Enrique José Acosta, Diego Manuel Aburto, Anna Alburez-Gutierrez +66 more

Supervised Learning in Physical Networks: From Machine Learning to Learning Machines

Physical Review X(2021)10.1103/physrevx.11.021045

N/A

0DataRank · unranked

58 citations

Daniel Hexner, Jason W. Rocks, Andrea J. Liu, Menachem Stern

A minimal model predicts cell shapes and tissue mechanics in the amnioserosa during dorsal closure

Biophysical Journal(2022)10.1016/j.bpj.2021.11.1410

N/A

0DataRank · unranked

1 citations

Daniel Haertter, Janice M. Crawford, Daniel P. Kiehart, Christoph F. Schmidt, Andrea J. Liu +1 more

Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure

arXiv (Cornell University)(2023)10.48550/arxiv.2312.12926

N/A

0DataRank · unranked

7 citations

Daniel Haertter, Janice M. Crawford, Daniel P. Kiehart, Christoph F. Schmidt, Andrea J. Liu +1 more

Rigidity of Epithelial Tissues as a Double Optimization Problem

arXiv (Cornell University)(2023)10.48550/arxiv.2312.11683

N/A

0DataRank · unranked

5 citations

Indrajit Tah, Andrea J. Liu, M. Lisa Manning, Sadjad Arzash

Minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.20.572544

N/A

0DataRank · unranked

3 citations

Daniel Haertter, Janice M. Crawford, Daniel P. Kiehart, Christoph F. Schmidt, Andrea J. Liu +1 more

The Physical Effects of Learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.23.546243

N/A

0DataRank · unranked

2 citations

Andrea J. Liu, Vijay Balasubramanian, Menachem Stern

The Physical Effects of Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2306.12928

N/A

0DataRank · unranked

0 citations

Andrea J. Liu, Vijay Balasubramanian, Menachem Stern

A minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2322732121

N/A

0DataRank · unranked

13 citations

Daniel Haertter, Janice M. Crawford, Daniel P. Kiehart, Christoph F. Schmidt, Andrea J. Liu +1 more

Microscopic imprints of learned solutions in adaptive resistor networks

arXiv (Cornell University)(2024)10.48550/arxiv.2412.19356

N/A

0DataRank · unranked

1 citations

Felipe Martins, Menachem Stern, Andrea J. Liu, Marcel Guzman

Physical networks become what they learn

arXiv (Cornell University)(2024)10.48550/arxiv.2406.09689

N/A

0DataRank · unranked

0 citations

Marcelo Guzman, Felipe Martins, Andrea J. Liu, Vijay Balasubramanian, Menachem Stern

Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

arXiv (Cornell University)(2024)10.48550/arxiv.2410.00292

N/A

0DataRank · unranked

0 citations

Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen +3 more

Rigidity of epithelial tissues as a double optimization problem

Physical Review Research(2025)10.1103/physrevresearch.7.013157

N/A

0DataRank · unranked

13 citations

Indrajit Tah, Andrea J. Liu, M. Lisa Manning, Sadjad Arzash

Physical Networks Become What They Learn

Physical Review Letters(2025)10.1103/physrevlett.134.147402

N/A

0DataRank · unranked

4 citations

Marcelo Guzmán, Felipe Martins, Andrea J. Liu, Vijay Balasubramanian, Menachem Stern