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

Luis Aparicio

Columbia University

ORCID: 0000-0002-8859-0839
Physics and AstronomyBiochemistry, Genetics and Molecular BiologyComputer Science

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
3.5Author 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.

A single-cell atlas of the mouse and human prostate reveals heterogeneity and conservation of epithelial progenitors

eLife(2020)10.7554/elife.59465
Top 7%
3.2DataRank
Top 7%143 citations

Francesco Cambuli, Luis Aparicio, Maho Shibata, Brian D. Robinson, Shouhong Xuan +6 more

Papers

Driven by 8 papers — median percentile 72. Top paper: “A single-cell atlas of the mouse and human prostate reveals heterogeneity and conservation of epithelial progenitors”.

A single-cell atlas of the mouse and human prostate reveals heterogeneity and conservation of epithelial progenitors

eLife(2020)10.7554/elife.59465
Top 7%
3.2DataRank
Top 7%143 citations

Francesco Cambuli, Luis Aparicio, Maho Shibata, Brian D. Robinson, Shouhong Xuan +6 more

Meta-analyses of mouse and human prostate single-cell transcriptomes reveal widespread epithelial plasticity in tissue regression, regeneration, and cancer

Genome Medicine(2025)10.1186/s13073-025-01432-w
N/A
0.380DataRank · unranked
11 citations

Laura Crowley, John R. Christin, Caroline Laplaca, Hanina Hibshoosh, Raúl Rabadán +2 more

A single-cell atlas of the mouse and human prostate reveals heterogeneity and conservation of epithelial progenitors

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.29.123836
Top 49%
0.367DataRank
Top 49%5 citations

Francesco Cambuli, Luis Aparicio, Maho Shibata, Brian D. Robinson, Shouhong Xuan +6 more

Smoother: A Unified and Modular Framework for Incorporating Structural Dependency in Spatial Omics Data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.25.513785
N/A
0DataRank · unranked
3 citations

Jean-Baptiste Reynier, Xi Fu, Guojie Zhong, Jiahao Jiang, Rydberg Supo Escalante +6 more

Inverse agonists of retinoic acid receptor/retinoid X receptor signaling as lineage-specific antitumor agents against human adenoid cystic carcinoma

JNCI Journal of the National Cancer Institute(2023)10.1093/jnci/djad062
N/A
0DataRank · unranked
14 citations

Luis Aparicio, Pierangela Palmerini, Junfei Zhao, Luis E. Valencia Salazar, Alexandra Schurer +6 more

Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data

Genome biology(2023)10.1186/s13059-023-03138-x
N/A
0DataRank · unranked
8 citations

Jean-Baptiste Reynier, Xi Fu, Guojie Zhong, Jiahao Jiang, Rydberg Supo Escalante +6 more

Meta-analyses of mouse and human prostate single-cell transcriptomes reveal widespread epithelial plasticity in tissue regression, regeneration, and cancer

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.30.578066
N/A
0DataRank · unranked
0 citations

Laura Crowley, John R. Christin, Caroline Laplaca, Hanina Hibshoosh, Raúl Rabadán +2 more

A Random Matrix Theory Approach to Denoise Single-Cell Data

Patterns(2020)10.1016/j.patter.2020.100035
N/A
0DataRank · unranked
57 citations

Mykola Bordyuh, Andrew J. Blumberg, Raúl Rabadán, Luis Aparicio