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

Zarif Azher

California Institute of Technology

ORCID: 0000-0003-1604-692X

Also affiliated with Cedars-Sinai Medical Center, Individual Differences

Biochemistry, Genetics and Molecular BiologyMedicineComputer 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 13 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

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

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

Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot study

Journal of Pathology Informatics(2023)10.1016/j.jpi.2023.100308
N/A
0DataRank · unranked
23 citations

Eric Feng, Cyril Sharma, Zarif Azher, Tarushii Goel, Ojas A. Ramwala +10 more

Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication

BioData Mining(2023)10.1186/s13040-023-00338-w
N/A
0DataRank · unranked
19 citations

Anish Suvarna, Jiqing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas +3 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

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

Histology-Based Virtual RNA Inference Identifies Pathways Associated with Metastasis Risk in Colorectal Cancer

medRxiv(2025)10.1101/2025.04.22.25326170
N/A
0DataRank · unranked
1 citations

Minh‐Khang Le, Zarif Azher, Xiaoying Liu, Louis Vaickus, Harsimran Kaur +7 more

Multicenter Validation of Video-based Deep Learning to Evaluate Defecation Patterns on 3-dimensional High-definition Anorectal Manometry

Clinical Gastroenterology and Hepatology(2025)10.1016/j.cgh.2025.06.038
N/A
0DataRank · unranked
0 citations

Brian D. Ginnebaugh, David J. Levinthal, Nelson Valentin, Joshua Levy, Eric D. Shah +1 more

Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing(2022)10.1145/3477314.3507032
N/A
0DataRank · unranked
16 citations

Louis Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua Levy, Zarif Azher

Histology-Based Virtual RNA Inference Identifies Pathways Associated With Metastasis Risk in Colorectal Cancer

Modern Pathology(2025)10.1016/j.modpat.2025.100866
N/A
0DataRank · unranked
0 citations

Minh‐Khang Le, Zarif Azher, Xiaoying Liu, Louis Vaickus, Harsimran Kaur +7 more

Assessment of Emerging Pretraining Strategies in Interpretable Multimodal Deep Learning for Cancer Prognostication

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.21.517440
N/A
0DataRank · unranked
2 citations

Anish Suvarna, Ji‐Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas +3 more

Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.24.517856
N/A
0DataRank · unranked
0 citations

Eric Feng, Cyril Sharma, Zarif Azher, Tarushii Goel, Ojas A. Ramwala +10 more