Luke V. Rasmussen

Also affiliated with Northwestern University, Northwestern Medicine

Biochemistry, Genetics and Molecular BiologyHealth ProfessionsComputer ScienceDecision Sciences

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

1.2Author 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.

Development of a repository of computable phenotype definitions using the clinical quality language

JAMIA Open(2021)10.1093/jamiaopen/ooab094

Top 27%

0.747DataRank

Top 27%12 citations

Jennifer A. Pacheco, Luke V. Rasmussen, Pascal Brandt

Papers

Driven by 41 papers — median percentile 64. Top paper: “Returning integrated genomic risk and clinical recommendations: The eMERGE study”.

Returning integrated genomic risk and clinical recommendations: The eMERGE study

Genetics in Medicine(2023)10.1016/j.gim.2023.100006

N/A

2.6DataRank · unranked

121 citations

Aimee Allworth, Harris T. Bland, Pedro J. Caraballo, Rex L. Chisholm, Ellen Wright Clayton +95 more

Development of a repository of computable phenotype definitions using the clinical quality language

JAMIA Open(2021)10.1093/jamiaopen/ooab094

Top 27%

0.747DataRank

Top 27%12 citations

Jennifer A. Pacheco, Luke V. Rasmussen, Pascal Brandt

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Psychiatric Research and Clinical Practice(2023)10.1176/appi.prcp.20220015

N/A

0.725DataRank · unranked

17 citations

Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu +10 more

Implementation of a culturally competent APOL1 genetic testing programme into living donor evaluation: A two-site, non-randomised, pre–post trial design

BMJ Open(2023)10.1136/bmjopen-2022-067657

N/A

0.684DataRank · unranked

16 citations

Akansha Agrawal, Catherine Wicklund, Debra Duquette, John J. Friedewald, Luke V. Rasmussen +10 more

Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system

Learning Health Systems(2024)10.1002/lrh2.10417

Top 45%

0.407DataRank

Top 45%10 citations

Chengsheng Mao, L. Nelson Sanchez‐Pinto, Faraz S. Ahmad, Andrew M. Naidech, Luke V. Rasmussen +29 more

Applicability of Pharmacogenomically Guided Medication Treatment during Hospitalization of At-Risk Minority Patients

Journal of Personalized Medicine(2021)10.3390/jpm11121343

N/A

0.307DataRank · unranked

6 citations

Keith Danahey, Merisa Middlestadt, Kevin J. O’Leary, Edith A. Nutescu, Tai C. Chen +16 more

Transitions in lung microbiota landscape associate with distinct patterns of pneumonia progression

Cell Host & Microbe(2025)10.1016/j.chom.2025.11.011

N/A

0.269DataRank · unranked

5 citations

Stefanie Huttelmaier, Chiagozie I. Pickens, Anahid A. Moghadam, Hiam Abdala‐Valencia, Jiaxian Shen +95 more

Developing and validating machine learning models to predict next-day extubation

Scientific Reports(2025)10.1038/s41598-025-12264-4

N/A

0.241DataRank · unranked

4 citations

Alec Peltekian, Mengjia Kang, Nikolay S. Markov, Mengou Zhu, Kevin Grudzinski +16 more

Developing a standardized but extendable framework to increase the findability of infectious disease datasets

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.10.511492

N/A

0DataRank · unranked

0 citations

Marco Alvarado Cano, José Bento, Candice Czech, Mengjia Kang, Lars Pache +14 more

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104442

N/A

0DataRank · unranked

65 citations

Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco +8 more

Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19

Journal of Clinical Investigation(2023)10.1172/jci170682

N/A

0DataRank · unranked

55 citations

Nikolay S. Markov, Thomas Stoeger, Anna Pawlowski, Mengjia Kang, Prasanth Nannapaneni +15 more

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

Scientific Reports(2023)10.1038/s41598-023-27481-y

N/A

0DataRank · unranked

25 citations

Luke V. Rasmussen, Ken Wiley, Thomas N. Person, David Cronkite, Sunghwan Sohn +34 more

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Scientific Reports(2023)10.1038/s41598-023-27493-8

N/A

0DataRank · unranked

17 citations

Luke V. Rasmussen, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu +13 more

Seamless Integration of Computer-Adaptive Patient Reported Outcomes into an Electronic Health Record

Applied Clinical Informatics(2023)10.1055/a-2235-9557

N/A

0DataRank · unranked

12 citations

Luke V. Rasmussen, Nan Rothrock, Zeeshan Butt, Michael Bass, Kristina Davis +10 more

Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records

Scientific Reports(2023)10.1038/s41598-023-35258-6

N/A

0DataRank · unranked

11 citations

Fei Wang, Chengxi Zang, Hao Zhang, Kellyann Niotis, Ava L. Liberman +14 more

Pragmatic reproducible research: improving the research process from raw data to results, bit by bit

Journal of Clinical Investigation(2023)10.1172/jci173741

N/A

0DataRank · unranked

3 citations

Eric Whitley, Leah J. Welty, Luke V. Rasmussen

Addressing barriers in FAIR data practices for biomedical data

Scientific Data(2023)10.1038/s41597-023-01969-8

N/A

0DataRank · unranked

66 citations

Ginger Tsueng, Jack DiGiovanna, Thomas D. Horvath, Luke V. Rasmussen, Tor Savidge +8 more

Developing a standardized but extendable framework to increase the findability of infectious disease datasets

Scientific Data(2023)10.1038/s41597-023-01968-9

N/A

0DataRank · unranked

18 citations

Marco Alvarado Cano, José Bento, Candice Czech, Mengjia Kang, Lars Pache +15 more

Distinctive evolution of alveolar T cell responses is associated with clinical outcomes in unvaccinated patients with SARS-CoV-2 pneumonia

Nature Immunology(2024)10.1038/s41590-024-01914-w

N/A

0DataRank · unranked

17 citations

Ziyou Ren, Karolina J. Senkow, Rogan A. Grant, Catherine A. Gao, Elizabeth S. Malsin +91 more

The epidemiology of errors in data capture, management, and analysis: A scoping review of retracted articles and retraction notices in clinical and translational research

Journal of Clinical and Translational Science(2024)10.1017/cts.2024.533

N/A

0DataRank · unranked

5 citations

Grace C. Bellinger, Oriana M. Fleming, Luke V. Rasmussen, Eric Whitley, Leah J. Welty +1 more

Evolution of a Graph Model for the OMOP Common Data Model

Applied Clinical Informatics(2024)10.1055/s-0044-1791487

N/A

0DataRank · unranked

1 citations

Jose A. Alvarado-Guzman, Luke V. Rasmussen, Justin Starren, Mengjia Kang

Developing and validating a machine learning model to predict successful next-day extubation in the ICU

medRxiv(2024)10.1101/2024.06.28.24309547

N/A

0DataRank · unranked

3 citations

Alec Peltekian, Mengjia Kang, Nikolay S. Markov, Mengou Zhu, Kevin Grudzinski +16 more

Antibiotic de-escalation patterns and outcomes in critically ill patients with suspected pneumonia as informed by bronchoalveolar lavage results

European Journal of Clinical Microbiology & Infectious Diseases(2025)10.1007/s10096-025-05144-2

N/A

0DataRank · unranked

10 citations

Chiagozie I. Pickens, Nikolay S. Markov, Anna Pawlowski, Mengjia Kang, Luke V. Rasmussen +7 more

PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf195

N/A

0DataRank · unranked

2 citations

Luke V. Rasmussen, Rebecca T. Levinson, Jennifer Malinowski, Sheila M. Manemann, Melissa P. Wilson +7 more

Novel enzyme-based reduced representation method for DNA methylation profiling with low inputs

Nucleic Acids Research(2025)10.1093/nar/gkaf558

N/A

0DataRank · unranked

1 citations

Kathryn A. Helmin, Zachary D. Dortzbach, Carla P. Reyes Flores, Manuel A. Torres Acosta, Jonathan Gurkan +9 more

Large language models accurately identify immunosuppression in intensive care unit patients

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf141

N/A

0DataRank · unranked

1 citations

Mengjia Kang, M. Bak, Steven Tran, Anna Pawlowski, Prasanth Nannapaneni +87 more

Results of the ACCOuNT Trial: A Multi‐Institutional Prospective Pharmacogenomics Implementation Trial for African American Inpatients

Clinical Pharmacology & Therapeutics(2025)10.1002/cpt.70024

N/A

0DataRank · unranked

1 citations

Kevin J. O’Leary, Edith A. Nutescu, Matthew Jack, Tai C. Chen, Gregory W. Ruhnke +13 more

Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patients

medRxiv(2025)10.1101/2025.01.16.25320564

N/A

0DataRank · unranked

3 citations

Mengjia Kang, M. Bak, Steven Tran, Anna Pawlowski, Prasanth Nannapaneni +12 more

PhenoFit: A Framework for Determining Computable Phenotyping Algorithm Fitness for Purpose and Reuse

(2025)10.31219/osf.io/mdgkv_v1

N/A

0DataRank · unranked

0 citations

Luke V. Rasmussen, Rebecca T. Levinson, Jennifer Malinowski, Sheila M. Manemann, Melissa P. Wilson +7 more

Machine Learning Analysis of Electronic Health Records Identifies Interstitial Lung Disease and Predicts Mortality in Patients with Systemic Sclerosis

medRxiv(2025)10.1101/2025.06.02.25328786

N/A

0DataRank · unranked

0 citations

Kevin Grudzinski, B. Bemiss, Jane E. Dematte, Carrie Richardson, Mary Carns +27 more

Going beyond the technology: Considerations in translating electronic case report forms

Journal of Clinical and Translational Science(2025)10.1017/cts.2025.10078

N/A

0DataRank · unranked

0 citations

Luke V. Rasmussen, Crystal Santillanes, Mary Beth Tull, Patricia Bustamante, Alan Kuang +7 more

Workflows to automate covariate-adaptive randomization in REDCap via data entry triggers

JAMIA Open(2025)10.1093/jamiaopen/ooaf110

N/A

0DataRank · unranked

0 citations

Marc O Broxton, Luke V. Rasmussen, Gregory Swann, Michael E. Newcomb, Jody D. Ciolino +1 more

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language

Learning Health Systems(2020)10.1002/lrh2.10233

N/A

0DataRank · unranked

24 citations

Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad +9 more

Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired Pneumonia

CHEST Critical Care(2025)10.1016/j.chstcc.2025.100228

N/A

0DataRank · unranked

0 citations

Wan‐Ting Liao, Alec Peltekian, Nikolay S. Markov, Mengjia Kang, Luke V. Rasmussen +10 more

Subphenotyping depression using machine learning and electronic health records

Learning Health Systems(2020)10.1002/lrh2.10241

N/A

0DataRank · unranked

30 citations

Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal Brandt +9 more

Identifying Heart Failure from Electronic Health Records: A Systematic Evidence Review

medRxiv(2021)10.1101/2021.02.01.21250933

N/A

0DataRank · unranked

6 citations

Jennifer Malinowski, Suzette J. Bielinski, Luke V. Rasmussen, Melissa P. Wilson, Sheila M. Manemann +4 more

Facilitating Genetics Aware Clinical Decision Support: Putting the eMERGE Infrastructure into Practice

ACI Open(2021)10.1055/s-0041-1729981

N/A

0DataRank · unranked

1 citations

Luke V. Rasmussen, Laura J. Rasmussen‐Torvik, Cynthia A. Prows, David A. Dorr, Lipika Samal +2 more

Design and validation of a FHIR-based EHR-driven phenotyping toolbox

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac063

N/A

0DataRank · unranked

12 citations

Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone +11 more

ReviewR: a light-weight and extensible tool for manual review of clinical records

JAMIA Open(2022)10.1093/jamiaopen/ooac071

N/A

0DataRank · unranked

5 citations

Luke V. Rasmussen, Christopher Roark, Michael G. Kahn, Lisa M. Schilling, Laura K. Wiley +1 more

Individual target pharmacokinetic/pharmacodynamic attainment rates among meropenem-treated patients admitted to the ICU with hospital-acquired pneumonia

Journal of Antimicrobial Chemotherapy(2022)10.1093/jac/dkac245

N/A

0DataRank · unranked

4 citations

Marc H. Scheetz, Helen K. Donnelly, Alvaro Donayre, Mengjia Kang, Estefani Diaz +95 more

A machine learning approach identifies unresolving secondary pneumonia as a contributor to mortality in patients with severe pneumonia, including COVID-19

medRxiv(2022)10.1101/2022.09.23.22280118

N/A

0DataRank · unranked

2 citations

Nikolay S. Markov, Thomas Stoeger, Anna Pawlowski, Mengjia Kang, Prasanth Nannapaneni +16 more

Luke V. Rasmussen

Indexed papers

Top data-sharing exemplar

Papers