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

Suvd Zulbayar

University of Toronto

ORCID: 0009-0008-0217-9629
MedicineBiochemistry, Genetics and Molecular BiologySocial Sciences

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
0.165Author DataRank

Indexed papers

2in 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 2 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.

Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study

Intelligence-Based Medicine(2023)10.1016/j.ibmed.2023.100118
Top 70%
0.165DataRank
Top 70%2 citations

Tatyana Mollayeva, Angela Colantonio, Vincy Chan, Michael Escobar, Suvd Zulbayar

Papers

Driven by 4 papers — median percentile 30. Top paper: “Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study”.

Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study

Intelligence-Based Medicine(2023)10.1016/j.ibmed.2023.100118
Top 70%
0.165DataRank
Top 70%2 citations

Tatyana Mollayeva, Angela Colantonio, Vincy Chan, Michael Escobar, Suvd Zulbayar

Gender versus sex in predicting outcomes of traumatic brain injury: a cohort study utilizing large administrative databases

Scientific Reports(2023)10.1038/s41598-023-45683-2
N/A
0DataRank · unranked
34 citations

Suvd Zulbayar, Tatyana Mollayeva, Vincy Chan, Angela Colantonio, Michael Escobar +1 more

Gender versus sex in predicting outcomes of traumatic brain injury: A cohort study utilizing large administrative databases

Research Square(2023)10.21203/rs.3.rs-2720937/v1
N/A
0DataRank · unranked
1 citations

Suvd Zulbayar, Tatyana Mollayeva, Vincy Chan, Angela Colantonio, Michael Escobar +1 more

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data

JCO Clinical Cancer Informatics(2026)10.1200/cci-25-00173
N/A
0DataRank · unranked
0 citations

Jennifer D. Brooks, Arian Aminoleslami, Shana J. Kim, Renzo Calderón-Anyosa, Feifan Xiang +4 more