Charles E. Rose
- Immunology top 5%
- Immune Response and Inflammation 2
- Microbiology top 10%
- Microbiology top 5%
- Epidemiology top 5%
- Pneumonia and Respiratory Infections 6
- Respiratory viral infections research 3
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Influenza Virus Research Studies 1
- Immunology and Allergy top 10%
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- Neonatal Respiratory Health Research 2
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- Statistical Methods and Bayesian Inference 1
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- Bayesian Methods and Mixture Models 1
- Co-authors
- Shu Man FuCynthia G. WhitneySteven R. BeatySun‐Sang J. SungFelicia GaskinShyr‐Te JuKathleen WannemuehlerS.W. Martin
- Cited by
- ImmunologyMicrobiology
- Journals
- Journal of Biopharmaceutical Statistics (1 paper)The Journal of Immunology (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Charles E. Rose
13 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 144
- Immunology 473
- Microbiology 14
- Microbiology 113
- Epidemiology 573
- Immunology and Allergy 72
Countries citing papers authored by Charles E. Rose
This map shows the geographic impact of Charles E. Rose'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 Charles E. Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles E. Rose more than expected).
Fields of papers citing papers by Charles E. Rose
This network shows the impact of papers produced by Charles E. Rose. 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 Charles E. Rose. The network helps show where Charles E. Rose may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles E. Rose, 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 | 2017 | 19 | |
| 2 | 2016 | 21 | |
| 3 | 2010 | 98 | |
| 4 | 2010 | 32 | |
| 5 | 2007 | 19 | |
| 6 | 2006 | 397 | |
| 7 | 2006 | 106 | |
| 8 | 2006 | 184 | |
| 9 | 2005 | 232 | |
| 10 | 2004 | 33 | |
| 11 | 2003 | 162 | |
| 12 | 1996 | 89 | |
| 13 | 1995 | 16 |
About Charles E. Rose
Charles E. Rose is a scholar working on Virology, Epidemiology and Immunology and Allergy, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (6 papers), Respiratory viral infections research (3 papers), Neonatal Respiratory Health Research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Immune Response and Inflammation (2 papers), Statistical Methods and Bayesian Inference (1 paper), Influenza Virus Research Studies (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Immunology (473 citations), Microbiology (14 citations) and Microbiology (113 citations). Charles E. Rose has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Shu Man Fu, Cynthia G. Whitney, Steven R. Beaty, Sun‐Sang J. Sung, Felicia Gaskin, Shyr‐Te Ju, Kathleen Wannemuehler, S.W. Martin, Bonnie Plikaytis and Anne Schuchat. Their work appears in journals such as Journal of Biopharmaceutical Statistics, The Journal of Immunology, Clinical Infectious Diseases, American Journal of Physiology-Lung Cellular and Molecular Physiology and Applied Physics B.
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.