Neal Navani

Also affiliated with University College London Hospitals NHS Foundation Trust, University College London

Medicine

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 2 papers. Top paper: “Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study”.

Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study

PLoS Medicine(2023)10.1371/journal.pmed.1004287

N/A

0DataRank · unranked

27 citations

Fergus Imrie, Bogdan Cebere, Nora Pashayan, Neal Navani, Mihaela van der Schaar +2 more

Assessment of Advanced Diagnostic Bronchoscopy Outcomes for Peripheral Lung Lesions: A Delphi Consensus Definition of Diagnostic Yield and Recommendations for Patient-centered Study Designs. An Official American Thoracic Society/American College of Chest Physicians Research Statement

American Journal of Respiratory and Critical Care Medicine(2024)10.1164/rccm.202401-0192st

N/A

0DataRank · unranked

127 citations

Gerard A. Silvestri, Daniël A. Korevaar, Yaron Gesthalter, N. Almeida, Alex Chen +13 more