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

Kensuke Sakata

Kurume University

ORCID: 0000-0003-0204-3613

Also affiliated with Johns Hopkins University, Johns Hopkins Medicine

Medicine

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 3%percentile
1.3Author 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.

A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data

Scientific Reports(2024)10.1038/s41598-024-59997-2
Top 21%
0.951DataRank
Top 21%34 citations

Zan Ahmad, Eugene Kholmovski, Kensuke Sakata, Luca Dede’, Alan Morris +3 more

Papers

Driven by 7 papers — median percentile 62. Top paper: “A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data”.

A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data

Scientific Reports(2024)10.1038/s41598-024-59997-2
Top 21%
0.951DataRank
Top 21%34 citations

Zan Ahmad, Eugene Kholmovski, Kensuke Sakata, Luca Dede’, Alan Morris +3 more

A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.11.575156
Top 54%
0.309DataRank
Top 54%4 citations

Zan Ahmad, Eugene Kholmovski, Kensuke Sakata, Luca Dede’, Alan Morris +3 more

Unipolar voltage electroanatomic mapping detects structural atrial remodeling identified by LGE-MRI

Heart Rhythm(2024)10.1016/j.hrthm.2024.10.015
N/A
0DataRank · unranked
8 citations

Yazan Mohsen, Yuncong Mao, Kensuke Sakata, Eugene Kholmovski, Adityo Prakosa +16 more

Assessing the arrhythmogenic propensity of fibrotic substrate using digital twins to inform a mechanisms-based atrial fibrillation ablation strategy

Nature Cardiovascular Research(2024)10.1038/s44161-024-00489-x
N/A
0DataRank · unranked
38 citations

Ryan Bradley, Adityo Prakosa, Carolyna Yamamoto Alves Pinto, Syed Yusuf Ali, Shane Loeffler +10 more

Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage

npj Digital Medicine(2025)10.1038/s41746-025-01625-y
N/A
0DataRank · unranked
7 citations

Carolyna Yamamoto Alves Pinto, Adityo Prakosa, Brock M. Tice, Syed Yusuf Ali, Shane Loeffler +7 more

Assessment of persistent atrial fibrillation arrhythmogenesis in the right atrium using digital twins

Heart Rhythm(2025)10.1016/j.hrthm.2025.10.052
N/A
0DataRank · unranked
3 citations

Carolyna Yamamoto Alves Pinto, Syed Yusuf Ali, Shane Loeffler, Adityo Prakosa, Brock M. Tice +6 more

PO-01-151 DEGREE OF FIBROSIS REMODELING ALTERS ATRIAL FIBRILLATION INDUCIBILITY

Heart Rhythm(2023)10.1016/j.hrthm.2023.03.499
N/A
0DataRank · unranked
0 citations

Ryan Bradley, Syed Yusuf Ali, Adityo Prakosa, Shane Loeffler, Kensuke Sakata +3 more