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

Nam D. Nguyen

Carnegie Mellon University

ORCID: 0000-0002-2939-5806
Biochemistry, Genetics and Molecular BiologyImmunology and Microbiology

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 100%percentile
0Author 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.

A unified analysis of atlas single cell data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.06.503038
Top 100%
0DataRank
Top 100%0 citations

Nam D. Nguyen, Matthew Ruffalo, Ziv Bar‐Joseph, Hao Chen

Papers

Driven by 8 papers — median percentile 0. Top paper: “Multiview learning for understanding functional multiomics”.

Multiview learning for understanding functional multiomics

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007677
N/A
0.722DataRank · unranked
122 citations

Daifeng Wang, Nam D. Nguyen

A deep manifold-regularized learning model for improving phenotype prediction from multi-modal data

Nature Computational Science(2022)10.1038/s43588-021-00185-x
N/A
0.581DataRank · unranked
47 citations

Jiawei Huang, Daifeng Wang, Nam D. Nguyen

ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages

Bioinformatics(2020)10.1093/bioinformatics/btaa935
N/A
0.542DataRank · unranked
36 citations

Nam D. Nguyen, Flaminia Talos, Daifeng Wang, Ting Jin

Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes

Bioinformatics(2020)10.1093/bioinformatics/btaa866
N/A
0DataRank · unranked
25 citations

Ting Jin, Daifeng Wang, Nam D. Nguyen

deepManReg: a deep manifold-regularized learning model for improving phenotype prediction from multi-modal data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.28.428715
N/A
0DataRank · unranked
1 citations

Jiawei Huang, Daifeng Wang, Nam D. Nguyen

A unified analysis of atlas single cell data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.06.503038
Top 100%
0DataRank
Top 100%0 citations

Nam D. Nguyen, Matthew Ruffalo, Ziv Bar‐Joseph, Hao Chen

scDOT: optimal transport for mapping senescent cells in spatial transcriptomics

Genome biology(2024)10.1186/s13059-024-03426-0
N/A
0DataRank · unranked
7 citations

Lorena Rosas, Timur O. Khaliullin, Peiran Jiang, Euxhen Hasanaj, José Antonio Ovando-Ricárdez +13 more

A unified analysis of atlas single-cell data

Genome Research(2025)10.1101/gr.279631.124
N/A
0DataRank · unranked
0 citations

Nam D. Nguyen, Matt Ruffalo, Ziv Bar‐Joseph, Hao Chen