Shama Munim

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: “Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study”.

Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30131-x

N/A

0DataRank · unranked

79 citations

José Villar, Ali Dashti, Leila Cheikh Ismail, Eleonora Staines-Urias, Eric O. Ohuma +90 more

Association between fetal abdominal growth trajectories, maternal metabolite signatures early in pregnancy, and childhood growth and adiposity: prospective observational multinational INTERBIO-21st fetal study

The Lancet Diabetes & Endocrinology(2022)10.1016/s2213-8587(22)00215-7

N/A

0DataRank · unranked

45 citations

Roseline Ochieng, Robert B. Gunier, Aris T. Papageorghiou, Stephen Rauch, Rose McGready +24 more

Timing of Delivery for Twins With Growth Discordance and Growth Restriction

Obstetrics and Gynecology(2022)10.1097/aog.0000000000004789

N/A

0DataRank · unranked

13 citations

Renée J. Burger, Ewoud Schuit, Julio F. Mateus, María Goya, E. Carreras +31 more