🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Akiko Takizawa

Medical College of Wisconsin

ORCID: 0000-0001-9101-5512
Biochemistry, Genetics and Molecular BiologyMedicine

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.

Top 4%percentile
0.677Author DataRank

Indexed papers

3in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 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.

Top 48%6 citations

Xuqi Chen, Michael Grzybowski, Janelle Ryan, Dale R. Sengelaub, Tara Mohanroy +22 more

Papers

Driven by 4 papers — median percentile 45. Top paper: Sry -modified laboratory rat lines to study sex-chromosome effects underlying sex differences in physiology and disease: Four Core Genotypes and more.

Top 48%6 citations

Xuqi Chen, Michael Grzybowski, Janelle Ryan, Dale R. Sengelaub, Tara Mohanroy +22 more

Top 55%6 citations

Akiko Takizawa, Monika Tutaj, Lindsay C. Malloy, Rebecca Schilling, A Endsley +8 more

Top 100%0 citations

Akiko Takizawa, Lynn Lazcares, Monika Tutaj, Rebecca Schilling, Aron M. Geurts +2 more

0 citations

Jamie Foeckler, Emily Knapp, Michael Grzybowski, Aron M. Geurts, Joseph Carroll +2 more