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

Kiyotaka Nemoto

University of Tsukuba

ORCID: 0000-0001-8623-9829

Also affiliated with Tsukuba Medical Center Hospital

MedicineNeuroscience

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 6%percentile
0.214Author DataRank

Indexed papers

5in 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 5 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.

Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophrenia

medRxiv(2023)10.1101/2023.10.11.23296862
Top 63%
0.214DataRank
Top 63%3 citations

Cheng Luo, Jijun Wang, Lena Palaniyappan, Xiao Chang, Shitong Xiang +95 more

Papers

Driven by 7 papers — median percentile 37. Top paper: “Public perceptions related to healthcare preparedness to anti-amyloid therapies for Alzheimer’s Disease in Japan”.

Public perceptions related to healthcare preparedness to anti-amyloid therapies for Alzheimer’s Disease in Japan

Alzheimer's Research & Therapy(2024)10.1186/s13195-024-01568-8
N/A
0.442DataRank · unranked
18 citations

Yoshiki Niimi, Ryoko Ihara, Atsushi Iwata, Kazushi Suzuki, Kiyotaka Nemoto +7 more

Relationship between white matter T2 hyperintensity and cortical volume changes on magnetic resonance imaging in healthy elders

International Journal of Geriatric Psychiatry(2011)10.1002/gps.2618
N/A
0.269DataRank · unranked
5 citations

Kiyotaka Nemoto, Noriko Sato, Katsutoshi Mizukami, Fumio Yamashita, Takashi Asada +1 more

Two neurostructural subtypes: results of machine learning on brain images from 4,291 individuals with schizophrenia

medRxiv(2023)10.1101/2023.10.11.23296862
Top 63%
0.214DataRank
Top 63%3 citations

Cheng Luo, Jijun Wang, Lena Palaniyappan, Xiao Chang, Shitong Xiang +95 more

No changes in cerebral cortical and subcortical structures before and after SARS‐CoV‐2 infection: Case reports of a patient with schizophrenia and a patient with major depressive disorder

Psychiatry and Clinical Neurosciences Reports(2023)10.1002/pcn5.108
N/A
0.104DataRank · unranked
1 citations

Satsuki Ito, Ryuichi Yamazaki, Kiyotaka Nemoto, Masaki Fukunaga, Fumitoshi Kodaka +5 more

Subcortical volumetric alterations in four major psychiatric disorders: a mega-analysis study of 5604 subjects and a volumetric data-driven approach for classification

Molecular Psychiatry(2023)10.1038/s41380-023-02141-9
N/A
0DataRank · unranked
52 citations

Masaki Fukunaga, Kenichiro Miura, Kiyotaka Nemoto, Junya Matsumoto, Naoki Hashimoto +42 more

Subcortical volumetric alterations in four major psychiatric disorders: A mega-analysis study of 5604 subjects and a volumetric data-driven approach for classification

Research Square(2023)10.21203/rs.3.rs-2182255/v1
N/A
0DataRank · unranked
0 citations

Naohiro Okada, Masaki Fukunaga, Kenichiro Miura, Kiyotaka Nemoto, Junya Matsumoto +42 more

Core Body Temperature Negatively Correlates with Whole-Brain Gray Matter Volume: A Pilot Study in the Context of Global Warming

Brain Sciences(2025)10.3390/brainsci15121324
N/A
0DataRank · unranked
0 citations

Kiyotaka Nemoto, Yoshimitsu Yamamoto, Ayumu Mitera, Yoshinori Yamakawa, Keisuke Kokubun