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

Jacob Levman

St. Francis Xavier University

ORCID: 0000-0002-3162-3548

Also affiliated with Nova Scotia Health Authority

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 7%percentile
0.104Author 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.

Baseline Structural Connectomics Data of Healthy Brain Development Assessed with Multi-Modal Magnetic Resonance Imaging

Information(2024)10.3390/info15010066
Top 78%
0.104DataRank
Top 78%1 citations

Zihang Fang, Emi Takahashi, Lourdes Peña‐Castillo, Jacob Levman, David R. Mattie

Papers

Driven by 7 papers — median percentile 22. Top paper: “Preoperative and postoperative high angular resolution diffusion imaging tractography of cerebellar pathways in posterior fossa tumors”.

Preoperative and postoperative high angular resolution diffusion imaging tractography of cerebellar pathways in posterior fossa tumors

Clinical Anatomy(2022)10.1002/ca.23914
N/A
0.330DataRank · unranked
8 citations

Neslihan Yüzbaşıoğlu, Nejat Akalan, Jacob Levman, Emi Takahashi, Alpen Ortuğ

MRI Diffusion Connectomics-Based Characterization of Progression in Alzheimer’s Disease

Applied Sciences(2024)10.3390/app14167001
N/A
0.208DataRank · unranked
3 citations

Lourdes Peña‐Castillo, Emi Takahashi, Jacob Levman, David R. Mattie

Baseline Structural Connectomics Data of Healthy Brain Development Assessed with Multi-Modal Magnetic Resonance Imaging

Information(2024)10.3390/info15010066
Top 78%
0.104DataRank
Top 78%1 citations

Zihang Fang, Emi Takahashi, Lourdes Peña‐Castillo, Jacob Levman, David R. Mattie

Structural Magnetic Resonance Imaging-Based Surface Morphometry Analysis of Pediatric Down Syndrome

Biology(2024)10.3390/biology13080575
N/A
0DataRank · unranked
1 citations

Bernadette McCann, Nicole Baumer, Melanie Y. Lam, Tadashi Shiohama, Liam Cogger +3 more

Morphological Abnormalities in Early-Onset Schizophrenia Revealed by Structural Magnetic Resonance Imaging

Biology(2023)10.3390/biology12030353
N/A
0DataRank · unranked
8 citations

Priya Kabaria, Masahito Nangaku, Emi Takahashi, Jacob Levman

Quantitative analyses of high‐angular resolution diffusion imaging (HARDI)‐derived long association fibers in children with sensorineural hearing loss

International Journal of Developmental Neuroscience(2020)10.1002/jdn.10071
N/A
0DataRank · unranked
4 citations

Brianna Chew, Jacob Levman, Emi Takahashi, Tadashi Shiohama

Brain morphological analysis in PTEN hamartoma tumor syndrome

American Journal of Medical Genetics Part A(2020)10.1002/ajmg.a.61532
N/A
0DataRank · unranked
23 citations

Jacob Levman, Lana Vasung, Emi Takahashi, Tadashi Shiohama