Takumi Saegusa

MathematicsBiochemistry, Genetics and Molecular Biology

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 100%percentile

0Author DataRank

Indexed papers

1in 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 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 →

Papers

Driven by 2 papers. Top paper: “Variance Estimation under Two‐Phase Sampling”.

Variance Estimation under Two‐Phase Sampling

Scandinavian Journal of Statistics(2015)10.1111/sjos.12152

N/A

0.360DataRank · unranked

10 citations

Takumi Saegusa

A joint learning framework for analyzing data from national geriatric centralized networks: A new toolbox deciphering real-world complexity

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104954

N/A

0DataRank · unranked

0 citations

Yilin Zhang, Thomas G. Travison, Michelle Shardell, Rozalina G. McCoy, Takumi Saegusa +3 more