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

Jay L. Koyner

University of Chicago

ORCID: 0000-0001-6873-8712

Also affiliated with University of Chicago Medical Center, PharmacoGenetics (China)

Medicine

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 3%percentile
1.4Author 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.

Development and external validation of multimodal postoperative acute kidney injury risk machine learning models

JAMIA Open(2023)10.1093/jamiaopen/ooad109
Top 34%
0.574DataRank
Top 34%12 citations

Jay L. Koyner, John Caskey, Alexandra B. Spicer, Kyle A. Carey, Emily Gilbert +5 more

Papers

Driven by 16 papers — median percentile 61. Top paper: “Urinary EGF and MCP-1 and risk of CKD after cardiac surgery”.

Urinary EGF and MCP-1 and risk of CKD after cardiac surgery

JCI Insight(2021)10.1172/jci.insight.147464
N/A
1.2DataRank · unranked
49 citations

Wenjun Ju, Rajasree Menon, Dennis G. Moledina, Heather Thiessen‐Philbrook, Eric McArthur +12 more

COVID-19-associated acute kidney injury: consensus report of the 25th Acute Disease Quality Initiative (ADQI) Workgroup

Nature Reviews Nephrology(2020)10.1038/s41581-020-00356-5
N/A
0.983DataRank · unranked
699 citations

Lui G. Forni, Ravindra L. Mehta, Michael Connor, Kathleen D. Liu, Marlies Ostermann +30 more

Development and external validation of multimodal postoperative acute kidney injury risk machine learning models

JAMIA Open(2023)10.1093/jamiaopen/ooad109
Top 34%
0.574DataRank
Top 34%12 citations

Jay L. Koyner, John Caskey, Alexandra B. Spicer, Kyle A. Carey, Emily Gilbert +5 more

Development and external validation of deep learning clinical prediction models using variable-length time series data

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae088
Top 39%
0.494DataRank
Top 39%13 citations

Kyle A. Carey, Jennie Martin, Jay L. Koyner, Dana P. Edelson, Emily Gilbert +4 more

Correction: A common longitudinal intensive care unit data format (CLIF) for critical illness research

Intensive Care Medicine(2025)10.1007/s00134-025-07869-2
Top 49%
0.359DataRank
Top 49%4 citations

Patrick G. Lyons, K. Chhikara, Vaishvik Chaudhari, Sivasubramanium V. Bhavani, Muna Nour +23 more

Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI

Clinical Journal of the American Society of Nephrology(2025)10.2215/cjn.0000000695
N/A
0.330DataRank · unranked
7 citations

Jennie Martin, Kyle A. Carey, John Caskey, Dana P. Edelson, Anoop Mayampurath +4 more

Artificial Intelligence in Acute Kidney Injury Prediction

Advances in Chronic Kidney Disease(2022)10.1053/j.ackd.2022.07.009
N/A
0DataRank · unranked
37 citations

Jay L. Koyner, Tushar Bajaj

Pre-Operative Kidney Biomarkers and Risks for Death, Cardiovascular and Chronic Kidney Disease Events after Cardiac Surgery: The TRIBE-AKI Study

Research Square(2022)10.21203/rs.3.rs-1469778/v1
N/A
0DataRank · unranked
0 citations

George Vasquez‐Rios, Dennis G. Moledina, Yaqi Jia, Eric McArthur, Sherry G. Mansour +6 more

Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup

Nature Reviews Nephrology(2023)10.1038/s41581-023-00744-7
N/A
0DataRank · unranked
45 citations

Linda Awdishu, Sean M. Bagshaw, Erin F. Barreto, Rolando Claure‐Del Granado, Barbara J. Evans +24 more

Artificial Intelligence in Acute Kidney Injury: From Static to Dynamic Models

Advances in Chronic Kidney Disease(2021)10.1053/j.ackd.2021.03.002
N/A
0DataRank · unranked
31 citations

Jay L. Koyner, Nupur Mistry

The Road to Precision Medicine for Acute Kidney Injury

Critical Care Medicine(2024)10.1097/ccm.0000000000006328
N/A
0DataRank · unranked
25 citations

Jay L. Koyner, Marlies Ostermann, Pavan K. Bhatraju, Bethany C. Birkelo

CSA-AKI: Incidence, Epidemiology, Clinical Outcomes, and Economic Impact

Journal of Clinical Medicine(2021)10.3390/jcm10245746
N/A
0DataRank · unranked
67 citations

Jay L. Koyner, Alan Schurle

10 tips on how to use dynamic risk assessment and alerts for AKI

Clinical Kidney Journal(2024)10.1093/ckj/sfae325
N/A
0DataRank · unranked
2 citations

A.M. La, Jay L. Koyner, Danica Quickfall

Preventing acute kidney injury and its longer-term impact in the critically ill

Intensive Care Medicine(2025)10.1007/s00134-025-08015-8
N/A
0DataRank · unranked
19 citations

Lui G. Forni, Jay L. Koyner, Hernando Gómez, Neesh Pannu, Marlies Ostermann +4 more

Artificial Intelligence for AKI!Now: Let’s Not Await Plato’s Utopian Republic

Kidney360(2021)10.34067/kid.0003472021
N/A
0DataRank · unranked
16 citations

Azra Bihorac, Stuart L. Goldstein, Kianoush Kashani, Shina Menon, Girish N. Nadkarni +6 more

Postoperative acute kidney injury in adult non-cardiac surgery: joint consensus report of the Acute Disease Quality Initiative and PeriOperative Quality Initiative

Nature Reviews Nephrology(2021)10.1038/s41581-021-00418-2
N/A
0DataRank · unranked
274 citations

Lui G. Forni, Max Bell, Michelle S. Chew, Mark Edwards, Morgan E. Grams +25 more