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

Gokul Raghavendra Srinivasan

ORCID: 0000-0002-9836-4851
EngineeringChemical EngineeringBiochemistry, 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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: A retrospective assessment”.

A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: A retrospective assessment

Experimental Dermatology(2023)10.1111/exd.14949
N/A
0.651DataRank · unranked
11 citations

Gokul Raghavendra Srinivasan, Rachael Chacko, Sophie Chen, Anish Suvarna, Louis Vaickus +9 more

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

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

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
0DataRank · unranked
5 citations

Michael Fatemi, Yunrui Lu, Gokul Raghavendra Srinivasan, Alos Diallo, Brock C. Christensen +7 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 deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: a retrospective assessment

medRxiv(2023)10.1101/2023.05.14.23289960
N/A
0DataRank · unranked
5 citations

Gokul Raghavendra Srinivasan, Rachael Chacko, Sophie Chen, Anish Suvarna, Louis Vaickus +9 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

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

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