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

Yunrui Lu

California Institute of Technology

ORCID: 0000-0003-1089-9323
Biochemistry, 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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining”.

Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.30.551188
N/A
0.477DataRank · unranked
7 citations

Matthew Davis, Matthew LeBoeuf, Michael Fatemi, Zarif Azher, Yunrui Lu +12 more

Development of an interactive web dashboard to facilitate the reexamination of pathology reports for instances of underbilling of CPT codes

Journal of Pathology Informatics(2023)10.1016/j.jpi.2023.100187
N/A
0.312DataRank · unranked
7 citations

Yunrui Lu, Shuyang Lu, Uhuru Kamau, Robert Hamilton, Jason R. Pettus +4 more

Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.30.551187
N/A
0.269DataRank · unranked
5 citations

Michael Fatemi, Yunrui Lu, Gokul Raghavendra Srinivasan, Alos Diallo, Brock C. Christensen +7 more

Integrative co-registration of elemental imaging and histopathology for enhanced spatial multimodal analysis of tissue sections through TRACE

Bioinformatics Advances(2024)10.1093/bioadv/vbaf001
N/A
0.165DataRank · unranked
2 citations

Serin Han, Aruesha Srivastava, Neha Shaik, Matthew Chan, Alos Diallo +15 more

The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics Workflows

medRxiv(2023)10.1101/2023.10.09.23296700
N/A
0.104DataRank · unranked
1 citations

Yunrui Lu, Alos Diallo, Gokul Raghavendra Srinivasan, Zarif Azher, Brock C. Christensen +8 more

Integration of elemental imaging and spatial transcriptomic profiling for proof-of-concept metals-based pathway analysis of colon tumor microenvironment

Metallomics(2025)10.1093/mtomcs/mfaf034
N/A
0DataRank · unranked
1 citations

Neha Shaik, Yunrui Lu, Matthew Chan, Alos Diallo, John P. Zavras +15 more

Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity

medRxiv(2023)10.1101/2023.10.09.23296701
N/A
0DataRank · unranked
4 citations

Yunrui Lu, Cyril Sharma, Eric Feng, Zarif Azher, Alos Diallo +12 more

A systematic review of deep learning models trained and tested using the HAM10000 dataset: an overview of recent advancements and challenges

Zenodo (CERN European Organization for Nuclear Research)(2023)10.5281/zenodo.7834480
N/A
0DataRank · unranked
0 citations

Jason R. McFadden, Yunrui Lu, Matthew Davis, Joshua Levy, Gokul Raghavendra Srinivasan

An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology

Briefings in Bioinformatics(2024)10.1093/bib/bbae476
N/A
0DataRank · unranked
8 citations

Yunrui Lu, Alos Diallo, Gokul Raghavendra Srinivasan, Zarif Azher, Brock C. Christensen +8 more

Integrative Co-Registration of Elemental Imaging and Histopathology for Enhanced Spatial Multimodal Analysis of Tissue Sections through TRACE

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.06.583819
N/A
0DataRank · unranked
1 citations

Ramsey Steiner, Serin Han, Aruesha Srivastava, Neha Shaik, Matthew Chan +10 more