Camilo Espinosa

Also affiliated with Stanford University

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 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 →

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 30 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

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

Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.29655

N/A

0.704DataRank · unranked

108 citations

Sunil Sazawal, Abdullah H Baqui, Muhammad Imran Nisar, Usha Dhingra, Rasheda Khanam +73 more

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions

Nature Machine Intelligence(2020)10.1038/s42256-020-00232-8

N/A

0.670DataRank · unranked

86 citations

Amy S. Tsai, Natalie Stanley, Martin Becker, Mohammad Sajjad Ghaemi, David R. McIlwain +26 more

Data-Driven Modeling of Pregnancy-Related Complications

Trends in Molecular Medicine(2021)10.1016/j.molmed.2021.01.007

N/A

0.635DataRank · unranked

68 citations

Martin Becker, Ivana Marić, Ronald J. Wong, Gary M. Shaw, Brice Gaudillière +12 more

Early prediction and longitudinal modeling of preeclampsia from multiomics

Patterns(2022)10.1016/j.patter.2022.100655

N/A

0.612DataRank · unranked

58 citations

Kévin Contrepois, Mira N. Moufarrej, Ina A. Stelzer, Dorien Feyaerts, Xiaoyuan Han +28 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

Comparative predictive power of serum vs plasma proteomic signatures in feto-maternal medicine

AJOG Global Reports(2023)10.1016/j.xagr.2023.100244

N/A

0.425DataRank · unranked

16 citations

Said M. Ali, Waqasuddin Khan, Rasheda Khanam, Jesmin Pervin, Joan T. Price +25 more

A data-driven health index for neonatal morbidities

iScience(2022)10.1016/j.isci.2022.104143

N/A

0.400DataRank · unranked

5 citations

Yair J. Blumenfeld, Ivana Marić, Jonathan A. Mayo, Alan L. Chang, Ramin Fallahzadeh +16 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

Multiomics Longitudinal Modeling of Preeclamptic Pregnancies

Research Square(2021)10.21203/rs.3.rs-138586/v1

N/A

0.269DataRank · unranked

5 citations

Kévin Contrepois, Mira N. Moufarrej, Ina A. Stelzer, Dorien Feyaerts, Xiaoyuan Han +28 more

Cross-species comparative analysis of single presynapses

Scientific Reports(2023)10.1038/s41598-023-40683-8

N/A

0.241DataRank · unranked

4 citations

Chandresh R. Gajera, Thanaphong Phongpreecha, Amalia Perna, Syed Bukhari, Martin Becker +16 more

In‐silico generation of high‐dimensional immune response data in patients using a deep neural network

Cytometry Part A(2022)10.1002/cyto.a.24709

N/A

0.227DataRank · unranked

3 citations

Neda Hajiakhoond Bidoki, Ina A. Stelzer, Martin Becker, Ivana Marić, Alan L. Chang +11 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

Prediction of neuropathologic lesions from clinical data

Alzheimer s & Dementia(2023)10.1002/alz.12921

N/A

0DataRank · unranked

16 citations

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

Unlocking human immune system complexity through AI

Nature Methods(2024)10.1038/s41592-024-02351-1

N/A

0DataRank · unranked

14 citations

Philip Chung, Camilo Espinosa, Thomas J. Montine, Nima Aghaeepour, Eloïse Berson

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

Mitigation of outcome conflation in predicting patient outcomes using electronic health records

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf033

N/A

0DataRank · unranked

3 citations

Camilo Espinosa, Philip Chung, Tomin James, Eloïse Berson, Nima Aghaeepour +1 more

Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo

Cell(2023)10.1016/j.cell.2023.09.012

N/A

0DataRank · unranked

108 citations

Ditte K. Rasmussen, Young Joo Sun, Jennifer T. Vu, Elena Wang, Camilo Espinosa +10 more

Computational Approaches for Predicting Preterm Birth and Newborn Outcomes

Clinics in Perinatology(2024)10.1016/j.clp.2024.02.005

N/A

0DataRank · unranked

6 citations

Camilo Espinosa, Nima Aghaeepour, David Seong

Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning

Pediatric Research(2024)10.1038/s41390-024-03604-7

N/A

0DataRank · unranked

17 citations

Rema Zebda, Camilo Espinosa, Jonathan D. Reiss, Anne Debuyserie, Kristina M. Reber +3 more

Camilo Espinosa

Indexed papers

Top data-sharing exemplar

Papers