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

Samson Mataraso

Chan Zuckerberg Biohub San Francisco

ORCID: 0000-0003-3146-2243

Also affiliated with Stanford University

Biochemistry, 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 5%percentile
0.522Author 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.

Protocol: the International Milk Composition (IMiC) Consortium - a harmonized secondary analysis of human milk from four studies

Frontiers in Nutrition(2025)10.3389/fnut.2025.1548739
Top 50%
0.349DataRank
Top 50%9 citations

Andrew Mertens, Chi-Hung Shu, Trenton Dailey-Chwalibóg, Liat Shenhav, Lindsay H. Allen +31 more

Papers

Driven by 18 papers — median percentile 41. Top paper: “Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity”.

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

npj Digital Medicine(2023)10.1038/s41746-023-00911-x
N/A
1.3DataRank · unranked
40 citations

Camilo Espinosa, Eloïse Berson, Thanaphong Phongpreecha, Peinan Zhao, Martin Becker +16 more

A longitudinal big data approach for precision health

Nature Medicine(2019)10.1038/s41591-019-0414-6
N/A
0.933DataRank · unranked
501 citations

Kévin Contrepois, Kegan J. Moneghetti, Wenyu Zhou, Tejaswini Mishra, Samson Mataraso +27 more

Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature

Nature Communications(2023)10.1038/s41467-023-40611-4
N/A
0.720DataRank · unranked
23 citations

Anjali Sreenivas, Thanaphong Phongpreecha, Amalia Perna, Fiorella C. Grandi, Lei Xue +14 more

A machine learning approach to leveraging electronic health records for enhanced omics analysis

Nature Machine Intelligence(2025)10.1038/s42256-024-00974-9
N/A
0.578DataRank · unranked
46 citations

Camilo Espinosa, David Seong, S. Momsen Reincke, Eloïse Berson, Jonathan D. Reiss +15 more

Data-driven longitudinal characterization of neonatal health and morbidity

Science Translational Medicine(2023)10.1126/scitranslmed.adc9854
N/A
0.557DataRank · unranked
40 citations

Jonathan D. Reiss, Jacquelyn Roger, Alice Tang, Alan L. Chang, Martin Becker +28 more

Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries

Science Advances(2023)10.1126/sciadv.ade7692
N/A
0.538DataRank · unranked
35 citations

Waqasuddin Khan, Rasheda Khanam, Sayan Das, Javairia Khalid, Jesmin Pervin +52 more

Large-scale correlation network construction for unraveling the coordination of complex biological systems

Nature Computational Science(2023)10.1038/s43588-023-00429-y
N/A
0.533DataRank · unranked
34 citations

Huda Nassar, Camilo Espinosa, Ina A. Stelzer, Dorien Feyaerts, Eloïse Berson +25 more

Prediction of neuropathologic lesions from clinical data

Alzheimer s & Dementia(2023)10.1002/alz.12921
N/A
0.425DataRank · unranked
16 citations

Brenna Cholerton, Syed Bukhari, Alan L. Chang, Davide De Francesco, Melan Thuraiappah +19 more

Quantitative estimate of cognitive resilience and its medical and genetic associations

Alzheimer s Research & Therapy(2023)10.1186/s13195-023-01329-z
N/A
0.360DataRank · unranked
10 citations

Dana Godrich, Eloïse Berson, Camilo Espinosa, Yeasul Kim, Brenna Cholerton +13 more

Protocol: the International Milk Composition (IMiC) Consortium - a harmonized secondary analysis of human milk from four studies

Frontiers in Nutrition(2025)10.3389/fnut.2025.1548739
Top 50%
0.349DataRank
Top 50%9 citations

Andrew Mertens, Chi-Hung Shu, Trenton Dailey-Chwalibóg, Liat Shenhav, Lindsay H. Allen +31 more

Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning

Frontiers in Pediatrics(2022)10.3389/fped.2022.933266
N/A
0.292DataRank · unranked
6 citations

Jennifer Dai, Alan L. Chang, Dorien Feyaerts, Ina A. Stelzer, Miao Zhang +27 more

Generating pregnant patient biological profiles by deconvoluting clinical records with electronic health record foundation models

Briefings in Bioinformatics(2024)10.1093/bib/bbae574
N/A
0.269DataRank · unranked
5 citations

Samson Mataraso, Camilo Espinosa, Eloïse Berson, S. Momsen Reincke, Lei Xue +13 more

Deep learning-based cell type profiles reveal signatures of Alzheimer’s disease resilience and resistance

Brain(2025)10.1093/brain/awaf285
N/A
0.241DataRank · unranked
4 citations

Amalia Perna, Syed Bukhari, Yeasul Kim, Lei Xue, David Seong +9 more

Protocol: the International Milk Composition (IMiC) Consortium - a Harmonized Secondary Analysis of Human Milk from 4 Studies

(2025)10.12688/verixiv.402.1
Top 67%
0.173DataRank
Top 67%2 citations

Andrew Mertens, Chi-Hung Shu, Trenton Dailey-Chwalibóg, Liat Shenhav, Lindsay H. Allen +31 more

Development and validation of a pre-trained language model for neonatal morbidities: a retrospective, multicentre, prognostic study

The Lancet Digital Health(2025)10.1016/j.landig.2025.100926
N/A
0.165DataRank · unranked
2 citations

Philip Chung, Jonathan D. Reiss, Erico Tjoa, Davide De Francesco, Thanaphong Phongpreecha +24 more

Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends

Heliyon(2024)10.1016/j.heliyon.2024.e29050
N/A
0.136DataRank · unranked
1 citations

Camilo Espinosa, Philip Chung, S. Momsen Reincke, Natasha Harrison, Thanaphong Phongpreecha +21 more

AI-Driven Longitudinal Characterization of Neonatal Health and Morbidity

medRxiv(2022)10.1101/2022.03.31.22273233
N/A
0.104DataRank · unranked
1 citations

Jonathan D. Reiss, Jacquelyn Roger, Alice Tang, Alan L. Chang, Martin Becker +28 more

Benchmarking of pre-training strategies for electronic health record foundation models

JAMIA Open(2025)10.1093/jamiaopen/ooaf090
N/A
0DataRank · unranked
3 citations

Shreya D’Souza, David Seong, Eloïse Berson, Camilo Espinosa, Nima Aghaeepour +1 more