Rachel Mumby
ORCID: 0009-0003-9287-4943Also affiliated with Michigan United
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.
Karolina Leziak, Yunshu Zhou, Rachel Mumby, Mengyao Hu, Lauren E. Ferrante +4 more
Papers
Driven by 3 papers — median percentile 0. Top paper: “A first-in-class selective inhibitor of EGFR and PI3K offers a single-molecule approach to targeting adaptive resistance”.
Elizabeth K. Ziemke, Christy L. Frankowski-McGregor, Rachel Mumby, June Hee Chung, Jinju Li +6 more
Ivana Barravecchia, Robert Teis, Jeanette Cruz, Rachel Mumby, Elizabeth K. Ziemke +10 more
Karolina Leziak, Yunshu Zhou, Rachel Mumby, Mengyao Hu, Lauren E. Ferrante +4 more