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

Yuanyuan Fu

Ningbo University

ORCID: 0000-0001-7715-0558

Also affiliated with University of Hawaiʻi at Mānoa, University of Nottingham Ningbo China

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 6%percentile
0.208Author 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.

A robust machine learning model based on ribosomal‐subunit‐derived piRNAs for diagnostic potential of nonsmall cell lung cancer across multicentre, large‐scale of sequencing data

Clinical and Translational Medicine(2025)10.1002/ctm2.70418
Top 65%
0.208DataRank
Top 65%3 citations

Masaki Nasu, Gehan Devendra, Ayman Abdul-Ghani, Alba García Seco de Herrera, Jeffrey A. Borgia +13 more

Papers

Driven by 7 papers — median percentile 35. Top paper: “A robust machine learning model based on ribosomal‐subunit‐derived piRNAs for diagnostic potential of nonsmall cell lung cancer across multicentre, large‐scale of sequencing data”.

A robust machine learning model based on ribosomal‐subunit‐derived piRNAs for diagnostic potential of nonsmall cell lung cancer across multicentre, large‐scale of sequencing data

Clinical and Translational Medicine(2025)10.1002/ctm2.70418
Top 65%
0.208DataRank
Top 65%3 citations

Masaki Nasu, Gehan Devendra, Ayman Abdul-Ghani, Alba García Seco de Herrera, Jeffrey A. Borgia +13 more

Zinc-limited Mycobacterium tuberculosis stimulate distinct responses in macrophages compared with standard zinc-replete bacteria

Infection and Immunity(2025)10.1128/iai.00578-24
N/A
0.104DataRank · unranked
1 citations

Allexa D. Burger, Kelly H. Chang, FuKun W. Hoffmann, Yuanyuan Fu, Vedbar S. Khadka +5 more

Effectiveness of various COVID-19 vaccine regimens among 10.4 million patients from the National COVID Cohort Collaborative during Pre-Delta to Omicron periods – United States, 11 December 2020 to 30 June 2022

Vaccine(2023)10.1016/j.vaccine.2023.08.069
N/A
0DataRank · unranked
5 citations

Kaipeng Wu, Zhanwei Wang, Hua Yang, Yu Chen, Lang Wu +4 more

Comprehensive landscape of tRNA-derived fragments in lung cancer

Molecular Therapy — Oncolytics(2022)10.1016/j.omto.2022.07.002
N/A
0DataRank · unranked
27 citations

Mayumi Jijiwa, Masaki Nasu, Heather Borgard, Ting Gong, Jinwen Xu +7 more

Liquid biopsy diagnostics for non-small cell lung cancer via elucidation of tRNA signatures

Communications Medicine(2025)10.1038/s43856-025-01068-2
N/A
0DataRank · unranked
4 citations

Masaki Nasu, Gehan Devendra, Ayman Abdul-Ghani, Owen Chan, Jeffrey A. Borgia +10 more

A prospective multi-cohort study identifies and validates a 5-gene peripheral blood signature predictive of immunotherapy response in non-small cell lung cancer

Molecular Cancer(2024)10.1186/s12943-024-02160-2
N/A
0DataRank · unranked
6 citations

Fangfang Liu, Yuanyuan Fu, Chris K. Deng, Jeffrey A. Borgia, A Ayman +11 more

Integrated Analysis of Bulk RNA-Seq and Single-Cell RNA-Seq Unravels the Influences of SARS-CoV-2 Infections to Cancer Patients

International Journal of Molecular Sciences(2022)10.3390/ijms232415698
N/A
0DataRank · unranked
4 citations

Yujia Qin, Yuanyuan Fu, Zitong Gao, Youping Deng, Yu Chen