Zohar Barnett‐Itzhaki

Environmental ScienceBiochemistry, Genetics and Molecular Biology

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: “Machine learning vs. classic statistics for the prediction of IVF outcomes”.

Machine learning vs. classic statistics for the prediction of IVF outcomes

Journal of Assisted Reproduction and Genetics(2020)10.1007/s10815-020-01908-1

N/A

0DataRank · unranked

72 citations

Miriam Elbaz, Rachely Butterman, Devora Amar, Moshe Amitay, Catherine Racowsky +5 more

Optimizing prediction of response to antidepressant medications using machine learning and integrated genetic, clinical, and demographic data

Translational Psychiatry(2021)10.1038/s41398-021-01488-3

N/A

0DataRank · unranked

92 citations

Amit Spinrad, Ran Barzilay, Zohar Barnett‐Itzhaki, Dana Averbuch, Omri Teltsh +4 more

Association between follicular fluid phthalate concentrations and extracellular vesicle microRNAs expression

Human Reproduction(2021)10.1093/humrep/deab063

N/A

0DataRank · unranked

32 citations

Sarah Edison Knapp, Chaya Avraham, Catherine Racowsky, Russ Hauser, Valentina Bollati +3 more

Recombinant human chorionic gonadotropin and gonadotropin-releasing hormone agonist differently affect the profile of extracellular vesicle microRNAs in human follicular fluid

Journal of Assisted Reproduction and Genetics(2023)10.1007/s10815-022-02703-w

N/A

0DataRank · unranked

6 citations

Catherine Racowsky, Andrea Baccarelli, Valentina Bollati, Raoul Orvieto, Russ Hauser +2 more