Charlene Bierl

1.5k total citations
18 papers, 1.2k citations indexed

About

Charlene Bierl is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Charlene Bierl has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Charlene Bierl's work include Nitric Oxide and Endothelin Effects (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Clinical Laboratory Practices and Quality Control (3 papers). Charlene Bierl is often cited by papers focused on Nitric Oxide and Endothelin Effects (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Clinical Laboratory Practices and Quality Control (3 papers). Charlene Bierl collaborates with scholars based in United States, Brazil and Italy. Charlene Bierl's co-authors include Joseph Loscalzo, Stanley Heydrick, Yingyi Zhang, Norbert Weiss, Victoria M. Bolotina, Richard A. Cohen, Mohammad Ali Yaghoubi, Marion Gericke, Robert M. Weisbrod and Barbara Voetsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Charlene Bierl

18 papers receiving 1.2k citations

Peers

Charlene Bierl

PHYSI

RHEUM

CCM

Antonysunil Adaikalakoteswari United Kingdom

Maren Carstensen Germany

Albert Hofman Netherlands

Alexandra Scholze Germany

Hironori Nagasaka Japan

Anna Jamróz-Wiśniewska Poland

Giulio A. Cinotti Italy

María Carolina Góngora United States

Minna L. Hannuksela Finland

Svante Norgren Sweden

Antonysunil Adaikalakoteswari United Kingdom

Charlene Bierl

371 ×0.9

514 ×1.5

PHYSI

391 ×1.9

RHEUM

141 ×0.8

78 ×0.5

CCM

Citations per year, relative to Charlene Bierl Charlene Bierl (= 1×) peers Antonysunil Adaikalakoteswari

Countries citing papers authored by Charlene Bierl

Since Specialization

Citations

This map shows the geographic impact of Charlene Bierl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Charlene Bierl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlene Bierl more than expected).

Fields of papers citing papers by Charlene Bierl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlene Bierl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Charlene Bierl. The network helps show where Charlene Bierl may publish in the future.

Co-authorship network of co-authors of Charlene Bierl

This figure shows the co-authorship network connecting the top 25 collaborators of Charlene Bierl. A scholar is included among the top collaborators of Charlene Bierl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charlene Bierl. Charlene Bierl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Wang, Julia, et al.. (2020). TRUU-Lab: Methods for Optimization of Test Names for Understanding and Utilization. American Journal of Clinical Pathology. 154(Supplement_1). S1–S2. 4 indexed citations

Wang, Julia, et al.. (2020). What’s in a Name? Comparative Analysis of Laboratory Test Naming Guidelines as Applied to Common Confusing Test Names. American Journal of Clinical Pathology. 154(Supplement_1). S18–S19. 2 indexed citations

Edmonston, Tina Bocker, et al.. (2019). Implementation of Laboratory Review of Test Builds Within the Electronic Health Record Reduces Errors. Archives of Pathology & Laboratory Medicine. 144(6). 742–747. 5 indexed citations

Feinstein, David, et al.. (2019). Optimization of the Order Menu in the Electronic Health Record Facilitates Test Patterns Consistent With Recommendations in the Choosing Wisely Initiative. American Journal of Clinical Pathology. 153(1). 94–98. 12 indexed citations

Behling, Kathryn C. & Charlene Bierl. (2018). Cost per Case Mix Index–Adjusted Hospital Day as a Measure of Effective Laboratory Utilization Efforts in a Growing Academic Medical Center. American Journal of Clinical Pathology. 151(4). 371–376. 4 indexed citations

Hunter, Krystal, et al.. (2015). Impact of weekly feedback on test ordering patterns.. PubMed. 21(11). 763–8. 21 indexed citations

Narayan, Srinivas B., Stephen R. Master, Anthony Sireci, et al.. (2012). Short-Chain 3-Hydroxyacyl-Coenzyme A Dehydrogenase Associates with a Protein Super-Complex Integrating Multiple Metabolic Pathways. PLoS ONE. 7(4). e35048–e35048. 13 indexed citations

Furlow, Paul W., Melanie J. Percy, Charlene Bierl, et al.. (2009). Erythrocytosis-associated HIF-2α Mutations Demonstrate a Critical Role for Residues C-terminal to the Hydroxylacceptor Proline. Journal of Biological Chemistry. 284(14). 9050–9058. 42 indexed citations

Everett, Logan J., Charlene Bierl, & Stephen R. Master. (2009). Unbiased Statistical Analysis for Multi-Stage Proteomic Search Strategies. Journal of Proteome Research. 9(2). 700–707. 45 indexed citations

10.

Voetsch, Barbara, Richard C. Jin, Charlene Bierl, et al.. (2007). Role of Promoter Polymorphisms in the Plasma Glutathione Peroxidase ( GPx-3 ) Gene as a Risk Factor for Cerebral Venous Thrombosis. Stroke. 39(2). 303–307. 52 indexed citations

11.

Master, Stephen R., Charlene Bierl, & Larry J. Kricka. (2006). Diagnostic challenges for multiplexed protein microarrays. Drug Discovery Today. 11(21-22). 1007–1011. 36 indexed citations

12.

Bierl, Charlene, Barry A. Miller, Eline T. Luning Prak, et al.. (2006). Antibody-mediated rejection in heart transplant recipients: potential efficacy of B-cell depletion and antibody removal.. PubMed. 489–96. 5 indexed citations

13.

Voetsch, Barbara, Richard C. Jin, Charlene Bierl, et al.. (2006). Promoter Polymorphisms in the Plasma Glutathione Peroxidase ( GPx-3 ) Gene. Stroke. 38(1). 41–49. 111 indexed citations

14.

Bierl, Charlene, Barbara Voetsch, Richard C. Jin, Diane E. Handy, & Joseph Loscalzo. (2004). Determinants of Human Plasma Glutathione Peroxidase (GPx-3) Expression. Journal of Biological Chemistry. 279(26). 26839–26845. 121 indexed citations

15.

Weiss, Norbert, Stanley Heydrick, Yingyi Zhang, et al.. (2002). Cellular Redox State and Endothelial Dysfunction in Mildly Hyperhomocysteinemic Cystathionine β-Synthase–Deficient Mice. Arteriosclerosis Thrombosis and Vascular Biology. 22(1). 34–41. 134 indexed citations

16.

Forgione, Marc A., Norbert Weiss, Stanley Heydrick, et al.. (2002). Cellular glutathione peroxidase deficiency and endothelial dysfunction. American Journal of Physiology-Heart and Circulatory Physiology. 282(4). H1255–H1261. 161 indexed citations

17.

Weiss, Norbert, Yingyi Zhang, Stanley Heydrick, Charlene Bierl, & Joseph Loscalzo. (2001). Overexpression of cellular glutathione peroxidase rescues homocyst(e)ine-induced endothelial dysfunction. Proceedings of the National Academy of Sciences. 98(22). 12503–12508. 176 indexed citations

18.

Cohen, Richard A., Robert M. Weisbrod, Marion Gericke, et al.. (1999). Mechanism of Nitric Oxide–Induced Vasodilatation. Circulation Research. 84(2). 210–219. 258 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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