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

Sayantan Kumar

National Institutes of Health

ORCID: 0000-0001-7213-0734

Also affiliated with United States National Library of Medicine

Computer ScienceMedicineBiochemistry, Genetics and Molecular BiologyNeuroscience

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
0.750Author 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.

Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.15.553412
Top 51%
0.342DataRank
Top 51%6 citations

Tom Earnest, Braden Yang, Deydeep Kothapalli, Andrew J. Aschenbrenner, Jason Hassenstab +9 more

Papers

Driven by 13 papers — median percentile 34. Top paper: “Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers”.

Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.15.553412
Top 51%
0.342DataRank
Top 51%6 citations

Tom Earnest, Braden Yang, Deydeep Kothapalli, Andrew J. Aschenbrenner, Jason Hassenstab +9 more

Analyzing heterogeneity in Alzheimer disease using multimodal normative modeling on imaging‐based ATN biomarkers

Alzheimer s & Dementia(2025)10.1002/alz.70143
Top 55%
0.304DataRank
Top 55%6 citations

Tom Earnest, Braden Yang, Deydeep Kothapalli, Andrew J. Aschenbrenner, Jason Hassenstab +9 more

HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression

arXiv (Cornell University)(2024)10.48550/arxiv.2404.03208
Top 78%
0.104DataRank
Top 78%1 citations

Sean Yu, Andrew P. Michelson, Thomas Kannampallil, Philip Payne, Sayantan Kumar

HiMAL: Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting Alzheimer’s disease progression

JAMIA Open(2024)10.1093/jamiaopen/ooae087
N/A
0DataRank · unranked
4 citations

Sean Yu, Andrew P. Michelson, Thomas Kannampallil, Philip Payne, Sayantan Kumar

Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders

PubMed(2024)10.1109/isbi56570.2024.10635897
N/A
0DataRank · unranked
6 citations

Philip Payne, Aristeidis Sotiras, Sayantan Kumar

Evaluation of ComBat harmonization for reducing across-tracer differences in regional amyloid PET analyses

medRxiv(2024)10.1101/2024.06.14.24308952
N/A
0DataRank · unranked
1 citations

Tom Earnest, Sayantan Kumar, Deydeep Kothapalli, Tammie L.S. Benzinger, Brian A. Gordon +2 more

AgileFormer: Spatially agile and scalable transformer for medical image segmentation

Biomedical Signal Processing and Control(2025)10.1016/j.bspc.2025.108842
N/A
0DataRank · unranked
5 citations

Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras, Peijie Qiu

Multimodal Variational Autoencoder: A Barycentric View

Proceedings of the AAAI Conference on Artificial Intelligence(2025)10.1609/aaai.v39i19.34209
N/A
0DataRank · unranked
4 citations

Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Yang Jin, Xiaotong Sun +4 more

Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare

medRxiv(2025)10.1101/2025.11.01.25339295
N/A
0DataRank · unranked
1 citations

Sayantan Kumar, Jeremy C. Weiss, Shariar Noroozizadeh

Loss of estrogen unleashing neuro-inflammation increases the risk of Alzheimer’s disease in women

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.19.508592
N/A
0DataRank · unranked
10 citations

Inez Y. Oh, Sayantan Kumar, Abdallah M. Eteleeb, Aditi Gupta, William Buchser +8 more

Temporally annotated textual time series from PubMed Open Access clinical case reports

medRxiv(2025)10.1101/2025.11.01.25339297
Top 100%
0DataRank
Top 100%0 citations

Sayantan Kumar, George H. Chen, Jeremy C. Weiss, Shahriar Noroozizadeh

Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease

PubMed(2023)10.1117/12.2654369
N/A
0DataRank · unranked
15 citations

Philip Payne, Aristeidis Sotiras, Sayantan Kumar

Evaluation of ComBat Harmonization for Reducing Across‐Tracer Differences in Regional Amyloid PET Analyses

Human Brain Mapping(2024)10.1002/hbm.70068
N/A
0DataRank · unranked
8 citations

Tom Earnest, Sayantan Kumar, Deydeep Kothapalli, Tammie L.S. Benzinger, Brian A. Gordon +2 more