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

Prajakta Joshi

Boston University

ORCID: 0000-0002-0946-9900

Also affiliated with Framingham Heart Study, Case Western Reserve University

MedicineNeuroscience

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 3%percentile
1.3Author DataRank

Indexed papers

2in 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 2 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.

Deep learning for risk-based stratification of cognitively impaired individuals

iScience(2023)10.1016/j.isci.2023.107522
Top 27%
0.733DataRank
Top 27%13 citations

Xiao Zhou, Akshara R. Balachandra, Michalina F. Jadick, Shangran Qiu, Diya A. Nijhawan +11 more

Papers

Driven by 9 papers — median percentile 70. Top paper: “Deep learning for risk-based stratification of cognitively impaired individuals”.

Deep learning for risk-based stratification of cognitively impaired individuals

iScience(2023)10.1016/j.isci.2023.107522
Top 27%
0.733DataRank
Top 27%13 citations

Xiao Zhou, Akshara R. Balachandra, Michalina F. Jadick, Shangran Qiu, Diya A. Nijhawan +11 more

Ceiling effects and differential measurement precision across calibrated cognitive scores in the Framingham Study.

Neuropsychology(2023)10.1037/neu0000828
Top 33%
0.603DataRank
Top 33%27 citations

Seo-Eun Choi, Michael L. Lee, Shubhabrata Mukherjee, Emily H. Trittschuh, R. Elizabeth Sanders +17 more

Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learning

medRxiv(2020)10.1101/2020.07.22.20159814
N/A
0.104DataRank · unranked
1 citations

Shangran Qiu, Prajakta Joshi, Chonghua Xue, Ronald Killiany, Asim Mian +5 more

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

Brain(2020)10.1093/brain/awaa137
N/A
0DataRank · unranked
482 citations

Prajakta Joshi, Matthew I. Miller, Chonghua Xue, Xiao Zhou, Cody Karjadi +16 more

Multimodal deep learning for Alzheimer’s disease dementia assessment

Nature Communications(2022)10.1038/s41467-022-31037-5
N/A
0DataRank · unranked
370 citations

Matthew I. Miller, Prajakta Joshi, Joyce C. Lee, Chonghua Xue, Yunruo Ni +33 more

Examination of potentially modifiable dementia risk factors across the adult life course: The Framingham Heart Study

Alzheimer s & Dementia(2023)10.1002/alz.12940
N/A
0DataRank · unranked
24 citations

Ting Fang Alvin Ang, Ileana De Anda‐Duran, Xue Liu, Yulin Liu, Ashita S. Gurnani +8 more

Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning

Alzheimer s Research & Therapy(2021)10.1186/s13195-021-00797-5
N/A
0DataRank · unranked
83 citations

Shangran Qiu, Prajakta Joshi, Chonghua Xue, Ronald Killiany, Asim Mian +4 more

Exploring the Hierarchical Influence of Cognitive Functions for Alzheimer Disease: The Framingham Heart Study

Journal of Medical Internet Research(2020)10.2196/15376
N/A
0DataRank · unranked
9 citations

Ning An, Rhoda Au, Sherral Devine, Sanford Auerbach, Joseph M. Massaro +7 more

Identification of digital voice biomarkers for cognitive health

Exploration of Medicine(2020)10.37349/emed.2020.00028
N/A
0DataRank · unranked
38 citations

Cody Karjadi, Ting Fang Alvin Ang, Prajakta Joshi, Chelsea McManus, Tuka Alhanai +3 more