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

Megumi Shigematsu

Computational Physics (United States)

ORCID: 0000-0003-3265-5557
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 5%percentile
0.447Author 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 →

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.

Making Invisible RNA Visible: Discriminative Sequencing Methods for RNA Molecules with Specific Terminal Formations

Biomolecules(2022)10.3390/biom12050611
Top 42%
0.447DataRank
Top 42%13 citations

Yohei Kirino, Megumi Shigematsu

Papers

Driven by 10 papers — median percentile 58. Top paper: “Making Invisible RNA Visible: Discriminative Sequencing Methods for RNA Molecules with Specific Terminal Formations”.

Making Invisible RNA Visible: Discriminative Sequencing Methods for RNA Molecules with Specific Terminal Formations

Biomolecules(2022)10.3390/biom12050611
Top 42%
0.447DataRank
Top 42%13 citations

Yohei Kirino, Megumi Shigematsu

RNase κ promotes robust piRNA production by generating 2′,3′-cyclic phosphate-containing precursors

Nature Communications(2021)10.1038/s41467-021-24681-w
N/A
0DataRank · unranked
16 citations

Takuya Kawamura, Keisuke Morichika, Natsuko Izumi, Takashi Kiuchi, Shozo Honda +7 more

In vitro production and multiplex quantification of 2′,3′-cyclic phosphate-containing 5′-tRNA half molecules

Methods(2021)10.1016/j.ymeth.2021.04.024
N/A
0DataRank · unranked
7 citations

Megumi Shigematsu, Yohei Kirino, Takuya Kawamura

Structural insights into RNA bridging between HIV-1 Vif and antiviral factor APOBEC3G

Nature Communications(2023)10.1038/s41467-023-39796-5
N/A
0DataRank · unranked
21 citations

Satoshi Shibata, Megumi Shigematsu, Jaekyung Hyun, Tae Gyun Kim, Hiroshi Matsuo +2 more

Immunoactive signatures of circulating tRNA- and rRNA-derived RNAs in chronic obstructive pulmonary disease

Molecular Therapy — Nucleic Acids(2024)10.1016/j.omtn.2024.102285
N/A
0DataRank · unranked
14 citations

Takuya Kawamura, Deepak A. Deshpande, Yohei Kirino, Megumi Shigematsu

Angiogenin-catalyzed cleavage within tRNA anticodon-loops identified by cP-RNA-seq

Bioscience Biotechnology and Biochemistry(2024)10.1093/bbb/zbae192
N/A
0DataRank · unranked
7 citations

Ryuma Matsubara, Justin Gumas, Takuya Kawamura, Yohei Kirino, Megumi Shigematsu

Immunostimulatory short non-coding RNAs in the circulation of patients with tuberculosis infection

Molecular Therapy — Nucleic Acids(2024)10.1016/j.omtn.2024.102156
N/A
0DataRank · unranked
12 citations

Takuya Kawamura, Megumi Shigematsu, Yohei Kirino, Justin Gumas

cP-RNA-seq for tRNA half sequencing

Methods in enzymology on CD-ROM/Methods in enzymology(2024)10.1016/bs.mie.2024.11.002
N/A
0DataRank · unranked
1 citations

Justin Gumas, Yohei Kirino, Megumi Shigematsu

Infection-induced 5′-half molecules of tRNAHisGUG activate Toll-like receptor 7

PLoS Biology(2020)10.1371/journal.pbio.3000982
N/A
0DataRank · unranked
112 citations

Megumi Shigematsu, Soroush Sharbati, Yohei Kirino, Kamlesh Pawar

TaqMan RT-qPCR for tRNA half quantification

Methods in enzymology on CD-ROM/Methods in enzymology(2024)10.1016/bs.mie.2024.11.010
N/A
0DataRank · unranked
0 citations

Takuya Kawamura, Yohei Kirino, Megumi Shigematsu