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

Luis Filipe Nakayama

Associação Paulista de Medicina

ORCID: 0000-0002-6847-6748

Also affiliated with Hospital São Paulo, Massachusetts Institute of Technology, Universidade Federal de São Paulo

Medicine

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 4%percentile
0.859Author 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.

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

Research Publications (Maastricht University)(2025)10.18653/v1/2025.findings-naacl.402
Top 52%
0.329DataRank
Top 52%5 citations

Shan Chen, Siena Kathleen V. Placino, Yingya Li, Juan Carlos Pardo, Daphna Idan +11 more

Papers

Driven by 7 papers — median percentile 41. Top paper: “WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation”.

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

Research Publications (Maastricht University)(2025)10.18653/v1/2025.findings-naacl.402
Top 52%
0.329DataRank
Top 52%5 citations

Shan Chen, Siena Kathleen V. Placino, Yingya Li, Juan Carlos Pardo, Daphna Idan +11 more

BOLD: Blood-gas and Oximetry Linked Dataset

Scientific Data(2024)10.1038/s41597-024-03225-z
Top 53%
0.324DataRank
Top 53%6 citations

Tristan Struja, Jack Gallifant, Luis Filipe Nakayama, Marie‐Laure Charpignon, Xiaoli Liu +8 more

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

arXiv (Cornell University)(2024)10.48550/arxiv.2410.12722
Top 65%
0.206DataRank
Top 65%2 citations

Shan Chen, Siena Kathleen V. Placino, Yingya Li, Juan Carlos Pardo, Daphna Idan +11 more

Assessment of Clinical Metadata on the Accuracy of Retinal Fundus Image Labels in Diabetic Retinopathy in Uganda: Case-Crossover Study Using the Multimodal Database of Retinal Images in Africa

JMIR Formative Research(2024)10.2196/59914
N/A
0DataRank · unranked
4 citations

Katharine Morley, Teddy Kwaga, Michael Morley, Luis Filipe Nakayama, Rogers Mwavu +6 more

Disparity dashboards: an evaluation of the literature and framework for health equity improvement

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00150-4
N/A
0DataRank · unranked
38 citations

Emmett A. Kistler, Luis Filipe Nakayama, Chloe Zera, Sunil Kripalani, Adelline Ntatin +5 more

Does diversity beget diversity? A scientometric analysis of over 150,000 studies and 49,000 authors published in high-impact medical journals between 2007 and 2022

medRxiv(2024)10.1101/2024.03.21.24304695
N/A
0DataRank · unranked
4 citations

João Matos, Luis Filipe Nakayama, Jack Gallifant, Pia Gabrielle I. Alfonso, Marisa Cobanaj +10 more

BOLD: Blood-gas and Oximetry Linked Dataset – Open Source Research

medRxiv(2023)10.1101/2023.10.03.23296485
Top 100%
0DataRank
Top 100%0 citations

Tristan Struja, Jack Gallifant, Luis Filipe Nakayama, Marie‐Laure Charpignon, Xiaoli Liu +8 more