Rachely Butterman

MedicineNeuroscienceBiochemistry, 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 3 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

Obesity Prediction in Young Adults from the Jerusalem Perinatal Study: Contribution of Polygenic Risk and Early Life Exposures

medRxiv(2023)10.1101/2023.09.05.23295076

N/A

0DataRank · unranked

1 citations

Rachely Butterman, Ido Margaliot, Yechiel Friedlander, Michal Linial, Hagit Hochner

Obesity risk in young adults from the Jerusalem Perinatal Study (JPS): the contribution of polygenic risk and early life exposure

International Journal of Obesity(2024)10.1038/s41366-024-01505-7

N/A

0DataRank · unranked

3 citations

Rachely Butterman, Ido Margaliot, Y. Friedlander, Michal Linial, Hagit Hochner