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

Amisha Dave

ORCID: 0000-0001-8377-8309
Computer ScienceMedicine

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 7 papers — median percentile 22. Top paper: “Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation”.

Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation

arXiv (Cornell University)(2023)10.48550/arxiv.2311.16588
N/A
0.177DataRank · unranked
2 citations

Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh +11 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

DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity

Ophthalmology(2022)10.1016/j.ophtha.2021.12.017
N/A
0DataRank · unranked
75 citations

Qingyu Chen, Elvira Agrón, Yih Chung Tham, Jocelyn Hui Lin Goh, Xiaofeng Lei +47 more

Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology

arXiv (Cornell University)(2024)10.48550/arxiv.2409.13902
N/A
0DataRank · unranked
6 citations

X. C. Ai, Thilaka Arunachalam, Chen, Ziyou, Ki Xiong Cheong, Amisha Dave +17 more

Rethinking Retrieval-Augmented Generation for Medicine: A Large-Scale, Systematic Expert Evaluation and Practical Insights

arXiv (Cornell University)(2025)10.48550/arxiv.2511.06738
N/A
0DataRank · unranked
1 citations

Jiwoong Sohn, Aidan Gilson, Nicholas Cochran-Caggiano, Serina Applebaum, Jin, Heeju +22 more

MedCalc-Bench: Evaluating Large Language Models for Medical Calculations

arXiv (Cornell University)(2024)10.52202/079017-2690
N/A
0DataRank · unranked
6 citations

Qiao Jin, Guangzhi Xiong, S.M. Dunn, Serina Applebaum, Zain Anwar +12 more

Longitudinal characterization and treatment response of retinal arterial macroaneurysms in adult-onset coats disease

American Journal of Ophthalmology Case Reports(2022)10.1016/j.ajoc.2022.101647
N/A
0DataRank · unranked
6 citations

Alisa T. Thavikulwat, Tharindu De Silva, Henry E. Wiley, Tiarnán D L Keenan, Wai T. Wong +2 more