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

Ali Foroughi pour

St. Jude Children's Research Hospital

ORCID: 0000-0002-3547-0796

Also affiliated with Jackson Laboratory, The Jackson Laboratory for Genomic Medicine

Computer ScienceMedicineBiochemistry, 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 6%percentile
0.222Author 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 Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis

Cancer Research(2024)10.1158/0008-5472.can-23-1349
Top 62%
0.222DataRank
Top 62%3 citations

Xing Yi Woo, Soner Koc, Todd Sheridan, Steven B. Neuhauser, Shidan Wang +49 more

Papers

Driven by 8 papers — median percentile 19. Top paper: “A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis”.

A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis

Cancer Research(2024)10.1158/0008-5472.can-23-1349
Top 62%
0.222DataRank
Top 62%3 citations

Xing Yi Woo, Soner Koc, Todd Sheridan, Steven B. Neuhauser, Shidan Wang +49 more

A pan-cancer PDX histology image repository with genomic and pathological annotations for deep learning analysis

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.26.512745
Top 100%
0DataRank
Top 100%0 citations

X. Woo, Soner Koc, Todd Sheridan, Steven B. Neuhauser, Shidan Wang +45 more

Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality

EBioMedicine(2023)10.1016/j.ebiom.2023.104726
N/A
0DataRank · unranked
34 citations

Ali Foroughi pour, Hany Deirawan, Fayez Daaboul, Thazin Nwe Aung, Rafic Beydoun +3 more

SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images

EBioMedicine(2023)10.1016/j.ebiom.2023.104908
N/A
0DataRank · unranked
16 citations

Todd Sheridan, Ali Foroughi pour, Jeffrey H. Chuang, Patience Mukashyaka

Computational immune synapse analysis reveals T-cell interactions in distinct tumor microenvironments

Communications Biology(2024)10.1038/s42003-024-06902-2
N/A
0DataRank · unranked
10 citations

Zichao Liu, Jan Martínek, Ali Foroughi pour, Jie Zhou, Hannah Boruchov +4 more

Emerging AI approaches for cancer spatial omics

GigaScience(2025)10.1093/gigascience/giaf128
N/A
0DataRank · unranked
10 citations

Ali Foroughi pour, Jeffrey H. Chuang, Javad Noorbakhsh

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images

Nature Communications(2020)10.1038/s41467-020-20030-5
N/A
0DataRank · unranked
205 citations

Saman Farahmand, Ali Foroughi pour, Sandeep Namburi, Dennis L. Caruana, David L. Rimm +4 more

Prediction of Outcome from Spatial Protein Profiling of Triple-Negative Breast Cancers

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.18.649541
N/A
0DataRank · unranked
1 citations

Te-Chia Wu, Jan Martínek, Santhosh Sivajothi, Paul Robson, Karolina Palucka +2 more