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

Anant Dadu

National Institutes of Health

ORCID: 0000-0002-6383-629X

Also affiliated with All Russian Research Institute of Hydrometeorological information World Data Center, Institute on Aging

MedicineBiochemistry, Genetics and Molecular BiologyComputer Science

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
0.227Author 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.

CARDBiomedBench: A Benchmark for Evaluating Large Language Model Performance in Biomedical Research

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.15.633272
Top 62%
0.227DataRank
Top 62%3 citations

Maya Willey, Chelsea X. Alvarado, Benjamin Danek, Marzieh Khani, Nicole Kuznetsov +19 more

Papers

Driven by 17 papers — median percentile 38. Top paper: “Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study”.

Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study

The Lancet Digital Health(2022)10.1016/s2589-7500(21)00274-0
N/A
2.1DataRank · unranked
62 citations

Fabian Brunn, Anant Dadu, Adriano Chiò, Andrea Calvo, Cristina Moglia +82 more

Application of Aligned-UMAP to longitudinal biomedical studies

Patterns(2023)10.1016/j.patter.2023.100741
N/A
1.1DataRank · unranked
53 citations

Vipul Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue Qi +11 more

Multi-modality machine learning predicting Parkinson’s disease

npj Parkinson s Disease(2022)10.1038/s41531-022-00288-w
N/A
0.761DataRank · unranked
159 citations

Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, Lana Sargent, Anant Dadu +22 more

Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts

npj Parkinson s Disease(2022)10.1038/s41531-022-00439-z
N/A
0.712DataRank · unranked
114 citations

Vipul Satone, Rachneet Kaur, Sayed Hadi Hashemi, Hampton L. Leonard, Hirotaka Iwaki +14 more

Federated learning for multi-omics: A performance evaluation in Parkinson’s disease

Patterns(2024)10.1016/j.patter.2024.100945
N/A
0.494DataRank · unranked
26 citations

Mary B. Makarious, Anant Dadu, Dan Vitale, Paul Suhwan Lee, Andrew Singleton +4 more

A fully automated FAIMS-DIA proteomic pipeline for high-throughput characterization of iPSC-derived neurons

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.24.469921
N/A
0.406DataRank · unranked
14 citations

Lirong Peng, Erika Lara, Daniel M. Ramos, Michael S. Fernandopulle, Caroline B. Pantazis +13 more

Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.04.502846
N/A
0.312DataRank · unranked
7 citations

Vipul Satone, Rachneet Kaur, Sayed Hadi Hashemi, Hampton L. Leonard, Hirotaka Iwaki +14 more

Genetic risk factor clustering within and across neurodegenerative diseases

medRxiv(2022)10.1101/2022.12.01.22282945
N/A
0.277DataRank · unranked
4 citations

Chelsea X. Alvarado, Mary B. Makarious, Dan Vitale, Kristin Levine, Sara Bandrés‐Ciga +10 more

Gut-brain nexus: Mapping multimodal links to neurodegeneration at biobank scale

Science Advances(2025)10.1126/sciadv.adu2937
N/A
0.269DataRank · unranked
5 citations

Samantha Hong, Paul Suhwan Lee, Spencer Grant, Marzieh Khani, Anant Dadu +19 more

CARDBiomedBench: A Benchmark for Evaluating Large Language Model Performance in Biomedical Research

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.15.633272
Top 62%
0.227DataRank
Top 62%3 citations

Maya Willey, Chelsea X. Alvarado, Benjamin Danek, Marzieh Khani, Nicole Kuznetsov +19 more

Prediction, prognosis and monitoring of neurodegeneration at biobank-scale via machine learning and imaging

medRxiv(2024)10.1101/2024.10.27.24316215
N/A
0.191DataRank · unranked
2 citations

Michael Ta, Nicholas J. Tustison, Ali Daneshmand, Kenneth Marek, Andrew Singleton +6 more

Application of Aligned-UMAP to longitudinal biomedical studies

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.12.518225
N/A
0.165DataRank · unranked
2 citations

Vipul Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue Qi +11 more

Identification and prediction of ALS subgroups using machine learning

medRxiv(2021)10.1101/2021.04.02.21254844
N/A
0.165DataRank · unranked
2 citations

Fabian Brunn, Anant Dadu, PARALS, ERRALS, Elisabetta Zucchi +12 more

Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts.

Research Square(2022)10.21203/rs.3.rs-1931095/v1
N/A
0.104DataRank · unranked
1 citations

Anant Dadu, Vipul Satone, Rachneet Kaur, Sayed Hashemi, Hampton L. Leonard +14 more

Genetic risk factor clustering within and across neurodegenerative diseases

Brain(2023)10.1093/brain/awad161
N/A
0DataRank · unranked
32 citations

Chelsea X. Alvarado, Mary B. Makarious, Dan Vitale, Kristin Levine, Sara Bandrés‐Ciga +10 more

MRI2PET: Realistic PET Image Synthesis from MRI for Automated Inference of Brain Atrophy and Alzheimer’s

medRxiv(2025)10.1101/2025.04.23.25326302
N/A
0DataRank · unranked
3 citations

Anant Dadu, Brian Avants, Mike A. Nalls, Jimeng Sun, Faraz Faghri +1 more

SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation

Patterns(2025)10.1016/j.patter.2025.101212
N/A
0DataRank · unranked
0 citations

Anant Dadu, Mike A. Nalls, Faraz Faghri, Jimeng Sun, Brandon Theodorou