L
Lisa Pence Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
17 h-index
42 pubs
731 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Lisa Pence's research focuses on the discovery and application of biomarkers for predicting patient outcomes, particularly in the context of kidney recovery and critical care. Her work has investigated serum metabolite profiles as predictors for outcomes in patients receiving renal replacement therapy. Additionally, she has studied the effects of preparation methods on delayed repolarization evaluation using induced pluripotent stem cell-derived cardiomyocytes. Pence has a publication record of 37 papers, with 727 citations, and an h-index of 17. She has collaborated on multiple publications with researchers at the National Center for Toxicological Research, including Richard D. Beger, Laura K. Schnackenberg, Jaclyn R. Daniels, and Kellie A. Woodling.
Metrics
- h-index: 17
- Publications: 42
- Citations: 731
Selected Publications
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Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs (2022)
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Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy (2021)
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Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients (2021)
Collaboration Network
Top Collaborators
Richard D. Beger
National Center for Toxicological Research
3 shared publications
In database
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
Zhijun Cao
National Center for Toxicological Research (US)
2 shared publications
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
Jinchun Sun
National Center for Toxicological Research (US)
2 shared publications
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
Laura K. Schnackenberg
National Center for Toxicological Research
2 shared publications
In database
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
Devasmita Choudhury
University of Virginia (US)
2 shared publications
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
Paul M. Palevsky
VA Pittsburgh Healthcare System (US)
2 shared publications
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
Didier Portilla
University of Virginia (US)
2 shared publications
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
Li‐Rong Yu
United States Food and Drug Administration (US)
2 shared publications
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Serum metabolite profiles predict outcomes in critically ill patients receiving renal replacement therapy
Jaclyn R. Daniels
National Center for Toxicological Research
1 shared publication
In database
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
Z. Jennie
University of Virginia (US)
1 shared publication
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
Wei Feng
United States Food and Drug Administration (US)
1 shared publication
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
Kellie A. Woodling
United States Food and Drug Administration
1 shared publication
In database
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
Prathyusha Bagam
National Center for Toxicological Research
1 shared publication
In database
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
Gonçalo Gamboa da Costa
United States Food and Drug Administration
1 shared publication
In database
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
Li Pang
National Center for Toxicological Research
1 shared publication
In database
- Effects of Serum and Compound Preparation Methods on Delayed Repolarization Evaluation With Human iPSC-CMs
Similar Researchers
Based on overlapping research topics
Jaclyn R. Daniels
National Center for Toxicological Research
Metabolomics and Mass Spectrometry Studies
Dialysis and Renal Disease Management
Protein Structure and Dynamics
Dharmik Jadvani
University of Arkansas for Medical Sciences
Health disparities and outcomes
Emergency and Acute Care Studies
Dialysis and Renal Disease Management
Rushi P Shah
University of Arkansas for Medical Sciences
Health disparities and outcomes
Emergency and Acute Care Studies
Dialysis and Renal Disease Management
Luke T. James
University of Arkansas for Medical Sciences
Metabolomics and Mass Spectrometry Studies
Emergency and Acute Care Studies
Dialysis and Renal Disease Management
J N Hansen
University of Arkansas at Little Rock
Metabolomics and Mass Spectrometry Studies
Protein Structure and Dynamics
Bioinformatics and Genomic Networks
Simeon Simmons
University of Arkansas for Medical Sciences
Health disparities and outcomes
Emergency and Acute Care Studies
Cardiovascular Function and Risk Factors