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

Masaru Tomita

Railway Technical Research Institute

ORCID: 0000-0003-3423-377X
Biochemistry, 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 1%percentile
11.1Author DataRank

Indexed papers

7in 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 7 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.

Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection

Molecular Systems Biology(2006)10.1038/msb4100050
Top 1%
11.1DataRank
Top 1%8267 citations

Takeshi Ara, Miki Hasegawa, Yuki Takai, Yoshiko Okumura, Miki Baba +5 more

Papers

Driven by 10 papers — median percentile 99. Top paper: “Quantitative Metabolome Analysis Using Capillary Electrophoresis Mass Spectrometry”.

Quantitative Metabolome Analysis Using Capillary Electrophoresis Mass Spectrometry

Journal of Proteome Research(2003)10.1021/pr034020m
N/A
15.0DataRank · unranked
980 citations

Yoshiaki Ohashi, Yuki Ueno, Hisako Naraoka, Masaru Tomita, Takaaki Nishioka +1 more

Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection

Molecular Systems Biology(2006)10.1038/msb4100050
Top 1%
11.1DataRank
Top 1%8267 citations

Takeshi Ara, Miki Hasegawa, Yuki Takai, Yoshiko Okumura, Miki Baba +5 more

CpG distribution patterns in methylated and non-methylated species

Gene(1997)10.1016/s0378-1119(97)00542-8
N/A
2.4DataRank · unranked
32 citations

Kouichi Takahashi, Masaru Tomita, Tom S. Shimizu

Correlation between sequence conservation of the 5′ untranslated region and codon usage bias in Mus musculus genes

Gene(2001)10.1016/s0378-1119(01)00671-0
N/A
0.557DataRank · unranked
40 citations

Takanori Washio, Rintaro Saito, Akira Shinagawa, Masayoshi Itoh, Kazuhiro Shibata +6 more

A novel three-unit tRNA splicing endonuclease found in ultrasmall Archaea possesses broad substrate specificity

Nucleic Acids Research(2011)10.1093/nar/gkr692
N/A
0.542DataRank · unranked
36 citations

Junichi Sugahara, Christopher S. Miller, Brett J. Baker, Massimo Di Giulio, Kanako Takesue +5 more

Mass Spectrometry-Compatible Subcellular Fractionation for Proteomics

Journal of Proteome Research(2020)10.1021/acs.jproteome.9b00347
N/A
0.510DataRank · unranked
29 citations

Naoyuki Sugiyama, Masaru Tomita, Sumio Ohtsuki, Yasushi Ishihama, Takeshi Masuda

Multi-Omics Data-Driven Systems Biology of E. coli

Systems Biology and Biotechnology of Escherichia coli(2009)10.1007/978-1-4020-9394-4_3
N/A
0.457DataRank · unranked
20 citations

Masaru Tomita, Nobuyoshi Ishii

iDMET: network-based approach for integrating differential analysis of cancer metabolomics

BMC Bioinformatics(2022)10.1186/s12859-022-05068-0
N/A
0.330DataRank · unranked
8 citations

Hiroyuki Yamamoto, Masaru Tomita, Rintaro Saito, Rira Matsuta

TGF-β-dependent reprogramming of amino acid metabolism induces epithelial–mesenchymal transition in non-small cell lung cancers

Communications Biology(2021)10.1038/s42003-021-02323-7
N/A
0DataRank · unranked
54 citations

Sho Tabata, Takeharu Sakamoto, Akiyoshi Hirayama, Hiromichi Ebi, Tadaaki Yamada +12 more

Chromatin Remodeling and Immediate Early Gene Activation by SLFN11 in Response to Replication Stress

Cell Reports(2020)10.1016/j.celrep.2020.02.117
N/A
0DataRank · unranked
87 citations

Hongliang Zhang, Lőrinc Sándor Pongor, Sai-Wen Tang, Ukhyun Jo, Fumiya Moribe +4 more