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

Yajuan Si

University of Michigan

ORCID: 0000-0001-8707-7374

Also affiliated with Michigan United, SoundRocket (United States)

MathematicsSocial 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 5%percentile

0.411Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Advancing high quality longitudinal data collection: Implications for the HEALthy Brain and Child Development (HBCD) Study design and recruitment

Developmental Cognitive Neuroscience(2024)10.1016/j.dcn.2024.101432

Top 45%

0.411DataRank

Top 45%9 citations

Gretchen Bandoli, Katherine M. Cole, M. Daniele Fallin, Elizabeth A. Stuart, Kelly K. Gurka +3 more

Papers

Driven by 14 papers — median percentile 55. Top paper: “An empirical evaluation of alternative approaches to adjusting for attrition when analyzing longitudinal survey data on young adults' substance use trajectories”.

An empirical evaluation of alternative approaches to adjusting for attrition when analyzing longitudinal survey data on young adults' substance use trajectories

International Journal of Methods in Psychiatric Research(2022)10.1002/mpr.1916

N/A

0.416DataRank · unranked

15 citations

Brady T. West, Philip Veliz, Megan E. Patrick, John E. Schulenberg, Deborah D. Kloska +3 more

Advancing high quality longitudinal data collection: Implications for the HEALthy Brain and Child Development (HBCD) Study design and recruitment

Developmental Cognitive Neuroscience(2024)10.1016/j.dcn.2024.101432

Top 45%

0.411DataRank

Top 45%9 citations

Gretchen Bandoli, Katherine M. Cole, M. Daniele Fallin, Elizabeth A. Stuart, Kelly K. Gurka +3 more

Treatment resistant depression: Socio-demographic characteristics, comorbidity and treatment patterns from the All of Us Research Program

Journal of Affective Disorders(2025)10.1016/j.jad.2025.119858

N/A

0.241DataRank · unranked

4 citations

Rayus Kuplicki, Wesley K. Thompson, Charles B. Nemeroff, Yajuan Si, Chun Chieh Fan +2 more

Embedded multilevel regression and poststratification: Model‐based inference with incomplete auxiliary information

Statistics in Medicine(2023)10.1002/sim.9956

N/A

0DataRank · unranked

5 citations

Yajuan Si, Katherine Li

Latent Subgroup Identification in Image-on-scalar Regression

arXiv (Cornell University)(2023)10.48550/arxiv.2307.00129

N/A

0DataRank · unranked

1 citations

Yajuan Si, Lana X. Garmire, Zikai Lin

Latent subgroup identification in image-on-scalar regression

The Annals of Applied Statistics(2024)10.1214/23-aoas1797

N/A

0DataRank · unranked

7 citations

Yajuan Si, Lana X. Garmire, Zikai Lin

The role of weighting adjustment for attrition in longitudinal trajectory modeling: a simulation study

Communications in Statistics - Simulation and Computation(2024)10.1080/03610918.2024.2362923

N/A

0DataRank · unranked

3 citations

Yajuan Si, Yueying Hu, Rebecca J. Evans-Polce, Philip Veliz, Brady T. West

Improving Survey Inference Using Administrative Records Without Releasing Individual‐Level Continuous Data

Statistics in Medicine(2024)10.1002/sim.10270

N/A

0DataRank · unranked

0 citations

Jungang Zou, Yutao Liu, Yajuan Si, Sandro Galea, Qixuan Chen +1 more

Attainment of global diabetes targets in 2021: a pooled analysis of individual-level data from national surveys in 100 low-income, middle-income, and high-income countries

The Lancet Global Health(2025)10.1016/s2214-109x(25)00393-6

N/A

0DataRank · unranked

7 citations

Yajuan Si, Krishna Aryal, Silver Bahendeka, José R Banegas, Till Bärnighausen +59 more

Weighted Prevalence of Biochemically-Verified Substance Use in Healthy Adolescents Across the United States

medRxiv(2025)10.1101/2025.09.19.25336190

N/A

0DataRank · unranked

2 citations

Yajuan Si, Susan F. Tapert, Janosch Linkersdörfer, Krista M. Lisdahl, Hayley I. Moore +10 more

Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics

Journal of Survey Statistics and Methodology(2021)10.1093/jssam/smab038

N/A

0DataRank · unranked

15 citations

Steve Heeringa, David Read Johnson, Roderick J. A. Little, Wenshuo Liu, Fabian T. Pfeffer +2 more

How to manage missing covariates in randomized controlled trials: a comparison of strategies

BMC Medical Research Methodology(2025)10.1186/s12874-025-02708-w

N/A

0DataRank · unranked

0 citations

Yajuan Si, John J. Dziak, Shiyu Zhang

Surveillance Imaging vs Symptomatic Recurrence Detection and Survival in Stage II-III Breast Cancer (AFT-01)

JNCI Journal of the National Cancer Institute(2022)10.1093/jnci/djac131

N/A

0DataRank · unranked

12 citations

Heather B. Neuman, Menggang Yu, David J. Vanness, Yajuan Si, Elizabeth S. Burnside +25 more

Embedded Multilevel Regression and Poststratification: Model-based Inference with Incomplete Auxiliary Information

arXiv (Cornell University)(2022)10.48550/arxiv.2205.02775

N/A

0DataRank · unranked

1 citations

Yajuan Si, Katherine Li