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

Yuan S Zhang

Population Council

ORCID: 0000-0002-1290-9305
Social SciencesMedicinePsychology

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 2%percentile
2.3Author DataRank

Indexed papers

6in 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 6 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.

Cross‐national comparisons of later‐life cognitive function using data from the Harmonized Cognitive Assessment Protocol (HCAP): Considerations and recommended best practices

Alzheimer s & Dementia(2024)10.1002/alz.13694
Top 27%
0.751DataRank
Top 27%36 citations

Richard N. Jones, Emily M. Briceño, Miguel Arce Rentería, Yuan S Zhang, Erik Meijer +4 more

Papers

Driven by 12 papers — median percentile 50. Top paper: “Cross‐national comparisons of later‐life cognitive function using data from the Harmonized Cognitive Assessment Protocol (HCAP): Considerations and recommended best practices”.

Cross‐national comparisons of later‐life cognitive function using data from the Harmonized Cognitive Assessment Protocol (HCAP): Considerations and recommended best practices

Alzheimer s & Dementia(2024)10.1002/alz.13694
Top 27%
0.751DataRank
Top 27%36 citations

Richard N. Jones, Emily M. Briceño, Miguel Arce Rentería, Yuan S Zhang, Erik Meijer +4 more

Educational Attainment and Later-Life Cognitive Function in High- and Middle-Income Countries: Evidence From the Harmonized Cognitive Assessment Protocol

The Journals of Gerontology Series B(2024)10.1093/geronb/gbae005
Top 30%
0.675DataRank
Top 30%31 citations

Brendan O’Shea, Xuexin Yu, Tsai‐Chin Cho, Kelvin Pengyuan Zhang, Jasdeep S. Kler +5 more

Negative wealth shocks in later life and subsequent cognitive function in older adults in China, England, Mexico, and the USA, 2012–18: a population-based, cross-nationally harmonised, longitudinal study

The Lancet Healthy Longevity(2023)10.1016/s2666-7568(23)00113-7
N/A
0.533DataRank · unranked
34 citations

Xuexin Yu, Alden L. Gross, Yuan S Zhang, Jinkook Lee, Kenneth M. Langa +2 more

Risk factors for Alzheimer’s disease and cognitive function before middle age in a U.S. representative population-based study

The Lancet Regional Health - Americas(2025)10.1016/j.lana.2025.101087
Top 38%
0.509DataRank
Top 38%8 citations

Jennifer Momkus, Rebecca C. Stebbins, Yuan S Zhang, Chantel L. Martin, Yang Claire Yang +5 more

Association between prenatal socioeconomic disadvantage, adverse birth outcomes, and inflammatory response at birth

Psychoneuroendocrinology(2023)10.1016/j.psyneuen.2023.106090
Top 61%
0.236DataRank
Top 61%3 citations

Meng Xiong, Jennifer M. P. Woo, Cheng Zheng, Yuan S Zhang, Helen C.S. Meier +2 more

Diabetes and all-cause mortality among middle-aged and older adults in China, England, Mexico, rural South Africa, and the USA: a population-based study of longitudinal aging cohorts

BMJ Open Diabetes Research & Care(2025)10.1136/bmjdrc-2024-004678
Top 70%
0.165DataRank
Top 70%2 citations

Yuan S Zhang, Emma Nichols, Chihua Li, Paola Zaninotto, Kenneth M. Langa +3 more

The association between incarceration and housing insecurity and advanced immune age during late life

Social Science & Medicine(2024)10.1016/j.socscimed.2024.116698
N/A
0DataRank · unranked
8 citations

Yuan S Zhang, Mateo Farina, Carmen Gutiérrez, Andrew Hoover, Yuelin He +3 more

Links Between Mortality and Socioeconomic Characteristics, Disease Burden, and Biological and Physical Functioning in the Aging Chinese Population

The Journals of Gerontology Series B(2021)10.1093/geronb/gbab059
N/A
0DataRank · unranked
28 citations

John Strauss, Peifeng Hu, Yaohui Zhao, Eileen M. Crimmins, Yuan S Zhang

Trends in Dementia Prevalence, Incidence, and Mortality in the United States (2000–2016)

Journal of Aging and Health(2021)10.1177/08982643211029716
N/A
0DataRank · unranked
51 citations

Yuan S Zhang, Jung Ki Kim, Mark D. Hayward, Eileen M. Crimmins, Mateo Farina

Diabetes and all-cause mortality among middle-aged and older adults in China, England, Mexico, rural South Africa, and the United States: A population-based study of longitudinal aging cohorts

medRxiv(2024)10.1101/2024.10.09.24315174
Top 100%
0DataRank
Top 100%0 citations

Yuan S Zhang, Chihua Li, Paola Zaninotto, Kenneth M. Langa, Jinkook Lee +3 more

Pace of Aging analysis of healthspan and lifespan in older adults in the US and UK

Nature Aging(2025)10.1038/s43587-025-00866-6
N/A
0DataRank · unranked
10 citations

Heming Pei, Yifan Shi, John Beard, Avshalom Caspi, Alan A. Cohen +11 more

Attainment of global diabetes targets in 2021: a pooled analysis of individual-level data from national surveys in 100 low-income, middle-income, and high-income countries

The Lancet Global Health(2025)10.1016/s2214-109x(25)00393-6
N/A
0DataRank · unranked
7 citations

Yajuan Si, Krishna Aryal, Silver Bahendeka, José R Banegas, Till Bärnighausen +59 more