Charlene Bierl
- Biochemistry top 5%
- Rheumatology top 5%
- Physiology top 10%
- Nitric Oxide and Endothelin Effects 4
- Clinical Laboratory Practices and Quality Control 3
- Biochemistry top 10%
- Clinical Biochemistry top 5%
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- Biomedical Text Mining and Ontologies 3
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- Cancer, Hypoxia, and Metabolism 2
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- Healthcare cost, quality, practices 2
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
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- Clinical Reasoning and Diagnostic Skills 2
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- Meta-analysis and systematic reviews 2
- Co-authors
- Joseph LoscalzoStanley HeydrickYingyi ZhangNorbert WeissVictoria M. BolotinaRichard A. CohenMohammad Ali YaghoubiMarion Gericke
- Cited by
- BiochemistryRheumatologyPhysiology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesBrazilItaly
In The Last Decade
Charlene Bierl
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Biochemistry 147
- Rheumatology 209
- Physiology 348
- Biochemistry 72
- Clinical Biochemistry 79
Countries citing papers authored by Charlene Bierl
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
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
The 25 scholars most cited alongside Charlene Bierl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 4 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 5 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 4 | |
| 6 | Impact of weekly feedback on test ordering patterns. | 2015 | 21 |
| 7 | 2012 | 13 | |
| 8 | 2009 | 42 | |
| 9 | 2009 | 45 | |
| 10 | 2007 | 52 | |
| 11 | 2006 | 36 | |
| 12 | Antibody-mediated rejection in heart transplant recipients: potential efficacy of B-cell depletion and antibody removal. | 2006 | 5 |
| 13 | 2006 | 111 | |
| 14 | 2004 | 121 | |
| 15 | 2002 | 134 | |
| 16 | 2002 | 161 | |
| 17 | 2001 | 176 | |
| 18 | 1999 | 258 |
About Charlene Bierl
Charlene Bierl is a scholar working on Family Practice, Transplantation and Toxicology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), Biomedical Text Mining and Ontologies (3 papers), Clinical Laboratory Practices and Quality Control (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Healthcare cost, quality, practices (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Biochemistry (147 citations), Rheumatology (209 citations) and Physiology (348 citations). Charlene Bierl has collaborated with scholars based in United States, Brazil and Italy. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.