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

Saeed Nourmohammadi

The University of Adelaide

ORCID: 0000-0002-9469-2874

Biochemistry, Genetics and Molecular BiologyAgricultural and Biological SciencesEngineering

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: “Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms”.

Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms

EBioMedicine(2022)10.1016/j.ebiom.2022.104143

N/A

1.2DataRank · unranked

33 citations

Saba Shafi, James S. Wilmott, Saeed Nourmohammadi, Ioannis Vathiotis, Niki Gavrielatou +15 more

Inhibition of the Aquaporin-1 Cation Conductance by Selected Furan Compounds Reduces Red Blood Cell Sickling

Frontiers in Pharmacology(2022)10.3389/fphar.2021.794791

N/A

0DataRank · unranked

13 citations

Charles D. Cox, Jinxin V. Pei, Nancy Anabaraonye, Saeed Nourmohammadi, Sam W. Henderson +4 more

Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma

JAMA Network Open(2025)10.1001/jamanetworkopen.2025.18906

N/A

0DataRank · unranked

12 citations

Matthew Liu, David Su, Saba Shafi, Ceren Boyacı, Sanna Steen +69 more