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

Weijia Jin

University of Florida Health

ORCID: 0000-0002-0644-5153

Also affiliated with University of Florida

Biochemistry, Genetics and Molecular BiologyPsychologyMedicine

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
0.974Author DataRank

Indexed papers

4in 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 4 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.

Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm

Journal of Clinical Medicine(2023)10.3390/jcm12237313
Top 50%
0.357DataRank
Top 50%6 citations

Wei Hao, Xu Shi, Lars G. Fritsche, Maxwell Salvatore, Andrew J. Admon +3 more

Papers

Driven by 7 papers — median percentile 46. Top paper: “Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm”.

Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm

Journal of Clinical Medicine(2023)10.3390/jcm12237313
Top 50%
0.357DataRank
Top 50%6 citations

Wei Hao, Xu Shi, Lars G. Fritsche, Maxwell Salvatore, Andrew J. Admon +3 more

Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 infection (PASC) in a Large Academic Medical Center in the US

medRxiv(2022)10.1101/2022.10.21.22281356
Top 51%
0.344DataRank
Top 51%4 citations

Weijia Jin, Andrew J. Admon, Bhramar Mukherjee, Lars G. Fritsche

MPRAVarDB: an online database and web server for exploring regulatory effects of genetic variants

Bioinformatics(2024)10.1093/bioinformatics/btae578
Top 57%
0.273DataRank
Top 57%4 citations

Yi Xia, Javlon Nizomov, Yunlong Liu, Zhigang Li, Qing Lu +2 more

Improving prediction models of amyotrophic lateral sclerosis (ALS) using polygenic, pre-existing conditions, and survey-based risk scores in the UK Biobank

Journal of Neurology(2024)10.1007/s00415-024-12644-2
N/A
0DataRank · unranked
5 citations

Jonathan Boss, Kelly M. Bakulski, Stephen A. Goutman, Eva L. Feldman, Lars G. Fritsche +2 more

MPRAVarDB: an online database and web server for exploring regulatory effects of genetic variants

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.02.587790
Top 100%
0DataRank
Top 100%0 citations

Weijia Jin, Yi Xia, Yunlong Liu, Zhigang Li, Li Chen +1 more

In silico generation and augmentation of regulatory variants from massively parallel reporter assay using conditional variational autoencoder

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.25.600715
N/A
0DataRank · unranked
0 citations

Yi Xia, Sai Ritesh Thela, Yunlong Liu, Li Chen, Weijia Jin

BayesCNet: Bayesian inference for cell type-specific regulatory networks leveraging cell type hierarchy in single-cell data

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.11.675686
N/A
0DataRank · unranked
0 citations

Arkaprava Roy, Weijia Jin, Leeana D. Peters, Todd M. Brusko, Qing Lu +4 more