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

Khyati Y. Mehta

National Center for Advancing Translational Sciences

ORCID: 0000-0002-2613-1362

Biochemistry, Genetics and Molecular BiologyMedicine

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 3 papers. Top paper: “An Optimized Method for LC–MS-Based Quantification of Endogenous Organic Acids: Metabolic Perturbations in Pancreatic Cancer”.

An Optimized Method for LC–MS-Based Quantification of Endogenous Organic Acids: Metabolic Perturbations in Pancreatic Cancer

International Journal of Molecular Sciences(2024)10.3390/ijms25115901

N/A

0DataRank · unranked

2 citations

Shivani Bansal, Sunil Bansal, Baldev Singh, William Klotzbier, Khyati Y. Mehta +2 more

An Optimized Method for LC-MS Based Quantification of Endogenous Organic Acids: Metabolic Perturbations in Pancreatic Cancer

Preprints.org(2024)10.20944/preprints202404.0528.v1

N/A

0DataRank · unranked

1 citations

Shivani Bansal, Sunil Bansal, Baldev Singh, William Klotzbier, Khyati Y. Mehta +2 more

The Fanconi Anemia Pathway Inhibits mTOR Signaling and Prevents Accelerated Translation in Head and Neck Cancer Cells

Cancers(2025)10.3390/cancers17152583

N/A

0DataRank · unranked

1 citations

Sara Vicente-Muñoz, Khyati Y. Mehta, Cosette M. Rivera‐Cruz, Xueheng Zhao, Lindsey E. Romick‐Rosendale +4 more