Cyril Zakka

Also affiliated with Stanford University

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 5 papers. Top paper: “Predicting Environmental Chemical Toxicity using a New Hybrid Deep Machine Learning Method”.

Predicting Environmental Chemical Toxicity using a New Hybrid Deep Machine Learning Method

ChemRxiv(2021)10.26434/chemrxiv.13726258

N/A

0DataRank · unranked

3 citations

Cyril Zakka, Sivanesan Dakshanamurthy, Sarita Limbu

Predicting Environmental Chemical Toxicity using a New Hybrid Deep Machine Learning Method

ChemRxiv(2021)10.26434/chemrxiv.13726258.v1

N/A

0DataRank · unranked

1 citations

Cyril Zakka, Sivanesan Dakshanamurthy, Sarita Limbu

Predicting Environmental Chemical Toxicity using a New Hybrid Deep Machine Learning Method

ChemRxiv(2021)10.26434/chemrxiv.13726258.v2

N/A

0DataRank · unranked

1 citations

Cyril Zakka, Sivanesan Dakshanamurthy, Sarita Limbu

Almanac — Retrieval-Augmented Language Models for Clinical Medicine

NEJM AI(2024)10.1056/aioa2300068

N/A

0DataRank · unranked

352 citations

Rohan Shad, Akash Chaurasia, Alex R. Dalal, Jennifer L. Kim, Michael Moor +17 more

Best Practices for Large Language Models in Radiology

arXiv (Cornell University)(2024)10.48550/arxiv.2412.01233

N/A

0DataRank · unranked

1 citations

Dave Van Veen, Cyril Zakka, Katherine E. Link, Aaron Fanous, Roxana Daneshjou +5 more