Jaclyn R. Daniels
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: United States Food and Drug Administration (2018–2021)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Jaclyn R. Daniels' research focuses on identifying and validating proteomic biomarkers for predicting kidney recovery in patients with acute kidney injury (AKI) requiring dialysis. Her work investigates the complex molecular mechanisms underlying kidney disease and recovery, with a specific interest in plasma protein stability and its implications for biomarker discovery. Daniels has published research on novel proteomic biomarkers for the prediction of kidney recovery from dialysis-dependent AKI patients. She has collaborated with researchers at the National Center for Toxicological Research, including Jinchun Sun, Laura K. Schnackenberg, Richard D. Beger, and Lisa Pence, contributing to a shared publication record. Daniels' scholarship metrics include an h-index of 5, with a total of 7 publications and 164 citations.
Metrics
- h-index: 5
- Publications: 7
- Citations: 171
Selected Publications
-
Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients (2021)
-
Stability of the Human Plasma Proteome to Pre-analytical Variability as Assessed by an Aptamer-Based Approach (2019)
-
An Integrated Analysis of Metabolites, Peptides, and Inflammation Biomarkers for Assessment of Preanalytical Variability of Human Plasma (2019)
-
An Aptamer‐Based Approach to Assess the Human Plasma Proteome for Pre‐Analytical Variability (2018)
-
Aptamer-Based Proteomics Identifies Mortality-Associated Serum Biomarkers in Dialysis-Dependent AKI Patients (2018)
-
Immune response proteins as predictive biomarkers of doxorubicin-induced cardiotoxicity in breast cancer patients (2017)
-
Exploratory biomarkers: Analytical approaches and their implications (2017)
Collaboration Network
Top Collaborators
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
- Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients
Similar Researchers
Based on overlapping research topics