Maya Scherer
ORCID: 0000-0001-6036-2394Also affiliated with New York Academy of Sciences
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.
Lan N. Ðoàn, Matthew K. Chin, Maya Scherer, Luisa Cárdenas, Lloyd Feng +10 more
Papers
Driven by 3 papers — median percentile 78. Top paper: “IDEAL: A Community–Academic–Governmental Collaboration Toward Improving Evidence-Based Data Collection on Race and Ethnicity”.
Lan N. Ðoàn, Matthew K. Chin, Maya Scherer, Luisa Cárdenas, Lloyd Feng +10 more
Maria A. Fernandez Galvis, Jill Linnell, Pia Iribarren, Victoria Jonas, Jennifer M. Gittleman +10 more
Luisa Cárdenas, Rienna Russo, Helen Ahn, Sze Wan Chan, Victoria Lanza +4 more