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

Heyjun Park

Johns Hopkins University

ORCID: 0000-0003-3724-9590

Also affiliated with Stanford University

MedicineBiochemistry, Genetics and Molecular Biology

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 100%percentile

0Author 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 →

Papers

Driven by 7 papers. Top paper: “Global, distinctive, and personal changes in molecular and microbial profiles by specific fibers in humans”.

Global, distinctive, and personal changes in molecular and microbial profiles by specific fibers in humans

Cell Host & Microbe(2022)10.1016/j.chom.2022.03.036

N/A

0.716DataRank · unranked

117 citations

Brittany Lee‐McMullen, Charles W. Abbott, Jeniffer Quijada, Daniel Hornburg, Heyjun Park +14 more

Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning

Nature Biomedical Engineering(2024)10.1038/s41551-024-01311-6

N/A

0.606DataRank · unranked

56 citations

Dalia Perelman, Heyjun Park, Yue Wu, Alokkumar Jha, Seth A. Sharp +7 more

High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes

npj Digital Medicine(2025)10.1038/s41746-025-01728-6

N/A

0.370DataRank · unranked

8 citations

Ahmed A. Metwally, Alireza Delfarah, Yue Wu, Dalia Perelman, Caleb Mayer +7 more

Predicting Type 2 Diabetes Metabolic Phenotypes Using Continuous Glucose Monitoring and a Machine Learning Framework

medRxiv(2024)10.1101/2024.07.20.24310737

N/A

0.360DataRank · unranked

10 citations

Dalia Perelman, Heyjun Park, Yue Wu, Alokkumar Jha, Seth A. Sharp +7 more

Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or Prediabetes

medRxiv(2024)10.1101/2024.09.05.24312545

N/A

0DataRank · unranked

7 citations

Ahmed A. Metwally, Alireza Delfarah, Yue Wu, Dalia Perelman, Majid Rodgar +6 more

Linking Habitual Carbohydrate Intake Patterns to Postprandial Glucose Dynamics, Metabolic and Lipidomic Profiles: The Carbotype Concept

Current Developments in Nutrition(2025)10.1016/j.cdnut.2025.107310

N/A

0DataRank · unranked

0 citations

Caleb Mayer, Yue Wu, Jenny Kim, Ben Ehlert, Yingzhou Lu +4 more

Insulin resistance modifies longitudinal multi-omics responses to habitual diet

10.64898/2026.02.17.706440

N/A

0DataRank · unranked

0 citations

Xiaotao Shen, Dalia Perelman, Pranav Berry, Yingzhou Lu, Rachel Battersby +5 more