Najla Al Turkestani

DentistryHealth ProfessionsMedicine

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 4 papers. Top paper: “Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information”.

Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information

Lecture notes in computer science(2022)10.1007/978-3-031-23223-7_7

N/A

0DataRank · unranked

1 citations

Najla Al Turkestani, Jonas Bianchi, Marcela Gurgel, Lucía Cevidanes, Arvind Rao +1 more

Semaphorin 4D Induces Vasculogenic Differentiation of Dental Pulp Stem Cells

Dentistry Journal(2023)10.3390/dj11070160

N/A

0DataRank · unranked

3 citations

Zhaocheng Zhang, Jacques E. Nör, Najla Al Turkestani

ShapeAXI: shape analysis explainability and interpretability

PubMed(2024)10.1117/12.3007053

N/A

0DataRank · unranked

1 citations

Felícia Miranda, Marcela Gurgel, Luc Anchling, Nathan Hutin, Selene Barone +6 more

Interpretable machine learning integrates multi-source biomarkers for osteoarthritis diagnosis and mechanistic insights: A temporomandibular joint model

Osteoarthritis and Cartilage(2025)10.1016/j.joca.2025.08.002

N/A

0DataRank · unranked

4 citations

Lucía Cevidanes, Jonas Bianchi, James V. Sugai, Marcela Gurgel, Juan Prieto +10 more