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

Shreya Chappidi

National Institutes of Health

ORCID: 0000-0001-7042-5766

Also affiliated with University of Cambridge, National Cancer Institute, National Cancer Institute

MedicineSocial SciencesComputer 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 8 papers. Top paper: “MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with Glioblastoma”.

MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with Glioblastoma

International Journal of Molecular Sciences(2024)10.3390/ijms25074082
N/A
0.312DataRank · unranked
7 citations

Yajas Shah, Sarisha Jagasia, Ying Zhuge, Jason Shephard, Margaret Johnson +9 more

MetaWise: Combined Feature Selection and Weighting Method to Link the Serum Metabolome to Treatment Response and Survival in Glioblastoma

International Journal of Molecular Sciences(2024)10.3390/ijms252010965
N/A
0DataRank · unranked
7 citations

Michael Popa, Ying Zhuge, Shreya Chappidi, Longze Zhang, Theresa Cooley Zgela +7 more

Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in Glioblastoma

Cancers(2024)10.3390/cancers16152740
N/A
0DataRank · unranked
4 citations

Erdal Taşçı, Sarisha Jagasia, Jason Shephard, Shreya Chappidi, Ying Zhuge +7 more

GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma

International Journal of Molecular Sciences(2025)10.3390/ijms26094339
N/A
0DataRank · unranked
4 citations

Shreya Chappidi, Ying Zhuge, Longze Zhang, Theresa Cooley Zgela, Mary Sproull +4 more

Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight

Proceedings of the AAAI/ACM Conference on AI Ethics and Society(2025)10.1609/aies.v8i1.36570
N/A
0DataRank · unranked
2 citations

Jennifer Cobbe, Chris Norval, Anjali Mazumder, Jatinder Singh, Shreya Chappidi

Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight

arXiv (Cornell University)(2025)10.48550/arxiv.2510.04609
N/A
0DataRank · unranked
0 citations

Jennifer Cobbe, Chris Norval, Anjali Mazumder, Jatinder Singh, Shreya Chappidi

Diagnosing Progression in Glioblastoma—Tackling a Neuro-Oncology Problem Using Artificial-Intelligence-Derived Volumetric Change over Time on Magnetic Resonance Imaging to Examine Progression-Free Survival in Glioblastoma

Diagnostics(2024)10.3390/diagnostics14131374
N/A
0DataRank · unranked
14 citations

Stephanie A. Harmon, Shreya Chappidi, Ying Zhuge, Erdal Taşçı, Sarisha Jagasia +5 more

Serum p-Cresol and 7-HOCA Levels and Fatty Acid and Purine Metabolism Are Associated with Survival, Progression, and Molecular Classification in GB—Serum Proteome and Metabolome Analysis Pre vs. Post Up-Front Chemoirradiation

Current Oncology(2025)10.3390/curroncol32110650
N/A
0DataRank · unranked
0 citations

M. Li, Yingdong Zhao, Erdal Taşçı, Shreya Chappidi, Theresa Cooley Zgela +4 more