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

Mohamed Qayati

The University of Texas MD Anderson Cancer Center

ORCID: 0000-0002-1196-4978

Also affiliated with The University of Texas Medical Branch at Galveston

MedicineComputer 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 3 papers. Top paper: “Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights”.

Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights

Nature Communications(2024)10.1038/s41467-024-47512-0

N/A

0.672DataRank · unranked

87 citations

Muhammad Aminu, Tatiana V. Karpinets, Pingjun Chen, Maliazurina B. Saad, Morteza Salehjahromi +32 more

Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept

Cell Reports Medicine(2024)10.1016/j.xcrm.2024.101463

N/A

0.546DataRank · unranked

37 citations

Tatiana V. Karpinets, Sheeba J. Sujit, Mohamed Qayati, Pingjun Chen, Muhammad Aminu +32 more

Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients

Cancers(2025)10.3390/cancers17213406

N/A

0DataRank · unranked

1 citations

Hui Li, Eman Showkatian, Maliazurina B. Saad, Mohamed Qayati, Sohair Ismail +25 more