Chloe Yonemitsu
University of California System
ORCID: 0000-0002-8729-8094Also affiliated with University of California San Diego, Mothers’ Milk Bank
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.
Indexed papers
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.
Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.
Read the full methodology →Top data-sharing exemplar
The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.
Kelsey Fehr, Stephanie Goguen, Kozeta Miliku, Catherine J. Field, Bianca Robertson +13 more
Papers
Driven by 6 papers — median percentile 48. Top paper: “Multimodal machine learning for modeling infant head circumference, mothers’ milk composition, and their shared environment”.
Kelsey Fehr, Stephanie Goguen, Kozeta Miliku, Catherine J. Field, Bianca Robertson +13 more
Jasmine F. Plows, Roshonda B. Jones, Tanya L. Alderete, Chloe Yonemitsu, Marie Kanne Poulsen +5 more
Rakin A. Choudhury, Catherine Pizzarello, Rohith Palli, Sade Fridy, Puja S. Rajani +14 more
Laura Galante, Carlos Gonzales‐Inca, Jussi Vahtera, Jaana Pentti, Samuli Rautava +6 more
Shana Adise, Christopher J. Machle, Pari Mokhtari, Elizabeth A. Holzhausen, Annalee Fürst +6 more
Gretchen Bandoli, Bianca Robertson, Chloe Yonemitsu, Lars Bode, Hannah Riedy +3 more