Kullaya Takkavatakarn
ORCID: 0000-0002-6236-8893Also affiliated with Chulalongkorn University, King Chulalongkorn Memorial Hospital, Icahn School of Medicine at Mount Sinai
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.
Won-Suk Oh, Ella Cheng, Girish N. Nadkarni, Lili Chan, Kullaya Takkavatakarn
Papers
Driven by 8 papers — median percentile 78. Top paper: “Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4”.
Won-Suk Oh, Ella Cheng, Girish N. Nadkarni, Lili Chan, Kullaya Takkavatakarn
Kullaya Takkavatakarn, Jasmin Divers, David M. Charytan, Lili Chan, Girish N. Nadkarni +1 more
Won-Suk Oh, Lili Chan, Ira Hofer, Khaled Shawwa, Monica Kraft +5 more
Kullaya Takkavatakarn, Megan McDougal, Girish N. Nadkarni, Ankit Sakhuja, Brian Dilcher +12 more
Yang Dai, Abhinaya Sridhar, Miriam S. Borvick, Ricki Ehrenfeld, Cristina Liriano Cepin +3 more
Yang Dai, Huei Hsun Wen, Justin Kauffman, Alexander W. Charney, Steven G. Coca +3 more
Ira Hofer, Kullaya Takkavatakarn
Dinushika Mohottige, Alexander W. Charney, Carol R. Horowitz, Andrew Rundle, Lili Chan +2 more