Alennie Roldan
University of California, San Francisco
ORCID: 0000-0002-8186-5318Pilot 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 2 indexed papers 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.
Tomiko Oskotsky, Boris Oskotsky, Camilla Wibrand, Alennie Roldan, Alice Tang +19 more
Papers
Driven by 6 papers — median percentile 43. Top paper: “Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research”.
Tomiko Oskotsky, Alice Tang, Alennie Roldan, Verena Chung, Connie Ha +56 more
Tomiko Oskotsky, Boris Oskotsky, Camilla Wibrand, Alennie Roldan, Alice Tang +19 more
Tomiko Oskotsky, Boris Oskotsky, Camilla Wibrand, Alennie Roldan, Alice Tang +19 more
Jhony A. Zavaleta, Alennie Roldan, Rochelle-Jan Reyes, Miguel Guardado, Berenice Chavez Rojas +6 more
Ivana Marić, Grégoire Bellan, Jakob Einhaus, Dyani Gaudillière, François-Xavier Ladant +23 more
Feng Xie, Alennie Roldan, Jacquelyn Roger, Alice Tang, Tomiko Oskotsky +8 more