Gregory R. Bluemling
- Infectious Diseases top 2%
- Epidemiology top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Cardiology and Cardiovascular Medicine
- Co-authors
- George R. PainterAlexander A. KolykhalovMichael G. NatchusZachary M. SticherMark A. LockwoodJeong-Joong YoonRichard K. PlemperRobert M. Cox
- Topics
- Viral Infections and Vectors (6 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Respiratory viral infections research (4 papers)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Gregory R. Bluemling
15 papers receiving 886 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Infectious Diseases 663
- Epidemiology 320
- Molecular Biology 179
- Public Health, Environmental and Occupational Health 115
- Cardiology and Cardiovascular Medicine 59
Countries citing papers authored by Gregory R. Bluemling
This map shows the geographic impact of Gregory R. Bluemling'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 Gregory R. Bluemling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory R. Bluemling more than expected).
Fields of papers citing papers by Gregory R. Bluemling
This network shows the impact of papers produced by Gregory R. Bluemling. 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 Gregory R. Bluemling. The network helps show where Gregory R. Bluemling may publish in the future.
Co-authorship network of co-authors of Gregory R. Bluemling
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory R. Bluemling. A scholar is included among the top collaborators of Gregory R. Bluemling 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 Gregory R. Bluemling. Gregory R. Bluemling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 79 | |
| 5 | 45 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | Characterization of orally efficacious influenza drug with high resistance barrier in ferrets and human airway epitheliabreakdown → | 233 |
| 9 | 81 | |
| 10 | Small-Molecule Antiviral β- | 255 |
| 11 | 25 | |
| 12 | 36 | |
| 13 | 9 | |
| 14 | 57 | |
| 15 | 41 |
About Gregory R. Bluemling
Gregory R. Bluemling is a scholar working on Infectious Diseases, Virology and Epidemiology, having authored 15 papers that have together received 901 indexed citations. Recurring topics across this work include Viral Infections and Vectors (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Infectious Diseases (663 citations), Epidemiology (320 citations) and Virology (23 citations). Gregory R. Bluemling has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include George R. Painter, Alexander A. Kolykhalov, Michael G. Natchus, Zachary M. Sticher, Mark A. Lockwood, Jeong-Joong Yoon, Richard K. Plemper, Robert M. Cox, Märt Toots and Deborah G. Mitchell. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Virology.
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.