Eva Leidman
Centers for Disease Control and Prevention
ORCID: 0000-0002-4191-5931Also affiliated with Government of the United States of America
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.
Neha Patel, Eva Leidman, Perrine Marcenac, Joseph D. Carreon, Chelsea Iwamoto +15 more
Papers
Driven by 1 paper — median percentile 0. Top paper: “Evaluation of COVID-19 and Influenza-like Illness Surveillance Case Definitions in a Prospective Cohort of Healthcare Personnel in Peru”.
Neha Patel, Eva Leidman, Perrine Marcenac, Joseph D. Carreon, Chelsea Iwamoto +15 more