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

Amy E. Kalkbrenner

University of Wisconsin–Milwaukee

ORCID: 0000-0002-3888-0539
Environmental ScienceNeuroscienceMedicine

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 2%percentile
2.0Author DataRank

Indexed papers

3in 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 3 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.

Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark

Biological Psychiatry Global Open Science(2021)10.1016/j.bpsgos.2021.04.007
Top 17%
1.2DataRank
Top 17%34 citations

Jesper Wulff, Amy E. Kalkbrenner, Christine Ladd‐Acosta, M. Danielle Fallin, Esben Agerbo +4 more

Papers

Driven by 12 papers — median percentile 75. Top paper: “Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark”.

Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark

Biological Psychiatry Global Open Science(2021)10.1016/j.bpsgos.2021.04.007
Top 17%
1.2DataRank
Top 17%34 citations

Jesper Wulff, Amy E. Kalkbrenner, Christine Ladd‐Acosta, M. Danielle Fallin, Esben Agerbo +4 more

Maternal smoking during pregnancy and offspring intellectual disability: sibling analysis in an intergenerational Danish cohort

Psychological Medicine(2020)10.1017/s0033291720003621
Top 25%
0.790DataRank
Top 25%22 citations

Amy E. Kalkbrenner, Hein Heuvelman, Jon Heron, Stanley Zammit, Dheeraj Rai +2 more

Bayesian G-Computation for Estimating Impacts of Interventions on Exposure Mixtures: Demonstration With Metals From Coal-Fired Power Plants and Birth Weight

American Journal of Epidemiology(2021)10.1093/aje/kwab053
N/A
0DataRank · unranked
26 citations

Jessie P. Buckley, Amy E. Kalkbrenner, Alexander P. Keil

Keil et al. Respond to “Causal Inference for Environmental Mixtures”

American Journal of Epidemiology(2021)10.1093/aje/kwab143
N/A
0DataRank · unranked
2 citations

Jessie P. Buckley, Amy E. Kalkbrenner, Alexander P. Keil

Early Life Exposure to Air Pollution and Autism Spectrum Disorder: Findings from a Multisite Case-Control Study

UNC Libraries(2023)10.17615/qz2s-ve86
N/A
0DataRank · unranked
2 citations

Chyrise Bradley, Marilie D. Gammon, Amy E. Kalkbrenner, Qian Di, Christine Ladd‐Acosta +11 more

Racialized experience, biomarkers of lead exposure, and later-life cognition: a mediation analysis

medRxiv(2023)10.1101/2023.04.22.23288920
N/A
0DataRank · unranked
0 citations

Kelly M. Bakulski, Linda Wesp, Keith A. Dookeran, Ira Driscoll, Amy E. Kalkbrenner +1 more

3-generation family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions associated with autism: an open-source catalogue of findings

medRxiv(2023)10.1101/2023.11.03.23298042
Top 100%
0DataRank
Top 100%0 citations

Linda Ejlskov, Morten Overgaard, Zeal Jinwala, Viktor Kim, Erik Thorlund Parner +7 more

Racialized experience, biomarkers of lead exposure, and later-life cognition: a mediation analysis

American Journal of Epidemiology(2024)10.1093/aje/kwae194
N/A
0DataRank · unranked
5 citations

Kelly M. Bakulski, Linda Wesp, Keith A. Dookeran, Ira Driscoll, Amy E. Kalkbrenner +1 more

3‐generation family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions associated with autism: An open‐source catalog of findings

Autism Research(2024)10.1002/aur.3232
N/A
0DataRank · unranked
3 citations

Linda Ejlskov, Morten Overgaard, Zeal Jinwala, Viktor Kim, Erik Thorlund Parner +7 more

Method for Testing Etiologic Heterogeneity Among Noncompeting Diagnoses, Applied to Impact of Perinatal Exposures on Autism and Attention Deficit Hyperactivity Disorder

Epidemiology(2024)10.1097/ede.0000000000001760
N/A
0DataRank · unranked
1 citations

Cheng Zheng, Justin Yu, Tara E. Jenson, Thomas Kuhlwein, Christine Ladd‐Acosta +3 more

Essential and non-essential metals in children’s intellectual functioning: A multi-media biomarker approach from a Mexico City birth cohort

Environmental Research(2025)10.1016/j.envres.2025.122323
N/A
0DataRank · unranked
2 citations

Robert O. Wright, Alexander P. Keil, Martha María Téllez‐Rojo, Sandra Martínez-Medina, Guadalupe Estrada‐Gutiérrez +2 more

Associations Between Early Low-Level Tobacco Smoke Exposure and Executive Function at Age 8 Years

The Journal of Pediatrics(2020)10.1016/j.jpeds.2019.11.032
N/A
0DataRank · unranked
22 citations

Yingying Xu, Brandon Frank Terrizzi, Bruce P. Lanphear, Aimin Chen, Amy E. Kalkbrenner +2 more