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

Xuguang Ai

University of Kentucky

ORCID: 0009-0000-2432-8316
Biochemistry, Genetics and Molecular BiologyComputer Science

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.

BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning

Ophthalmology Science(2025)10.1016/j.xops.2025.101050
Top 78%
0.104DataRank
Top 78%1 citations

Xuguang Ai, Thaddaeus Wai Soon Lo, Aidan Gilson, Minjie Zou, Ke Zou +27 more

Papers

Driven by 6 papers — median percentile 22. Top paper: “Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers–Assisted Sublanguage Analysis”.

Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers–Assisted Sublanguage Analysis

JMIR Medical Informatics(2023)10.2196/48072
N/A
0.165DataRank · unranked
2 citations

Huan He, Andrew Wen, Sungrim Moon, Sunyang Fu, Kevin J. Peterson +5 more

BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning

Ophthalmology Science(2025)10.1016/j.xops.2025.101050
Top 78%
0.104DataRank
Top 78%1 citations

Xuguang Ai, Thaddaeus Wai Soon Lo, Aidan Gilson, Minjie Zou, Ke Zou +27 more

End-to-End Models for Chemical–Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies

PubMed(2023)10.1109/ichi57859.2023.00108
N/A
0DataRank · unranked
3 citations

Ramakanth Kavuluru, Xuguang Ai

Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case

arXiv (Cornell University)(2023)10.48550/arxiv.2311.13729
N/A
0DataRank · unranked
1 citations

Xuguang Ai, Ramakanth Kavuluru, Shashank Gupta

AgentMD: Empowering language agents for risk prediction with large-scale clinical tool learning

Nature Communications(2025)10.1038/s41467-025-64430-x
N/A
0DataRank · unranked
13 citations

Zhizheng Wang, Yifan Yang, Qingqing Zhu, D. Wright, Thomas Huang +9 more

A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models

arXiv (Cornell University)(2025)10.48550/arxiv.2504.04083
N/A
0DataRank · unranked
0 citations

Xuguang Ai, Yuhang Jiang, Shashank Gupta, Ramakanth Kavuluru, Aviv Brokman