T. Lynnette Brammer
Impact in
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Influenza Virus Research Studies 2
- Respiratory viral infections research 1
- Hepatitis B Virus Studies 1
-
- Viral Infections and Outbreaks Research 1
- Co-authors
- Nancy J. Cox (4 shared papers)Hong Sun (1 shared paper)Libo Dong (1 shared paper)Paul Gargiullo (1 shared paper)Vic Veguilla (1 shared paper)Eboneé N. Butler (1 shared paper)Kathy Hancock (1 shared paper)Feng Liu (1 shared paper)
- Journals
- The Journal of Infectious Diseases (1 paper)New England Journal of Medicine (1 paper)European Journal of Epidemiology (1 paper)PubMed (2 papers)
- Partner nations
- United States
In The Last Decade
T. Lynnette Brammer
5 papers receiving 1.3k citations
T. Lynnette Brammer's Hit Papers
Peers
Comparison fields: 5 of 63
- Epidemiology 1.1k
- Modeling and Simulation 145
- Infectious Diseases 352
- Agronomy and Crop Science 189
- Immunology 186
Countries citing papers authored by T. Lynnette Brammer
This map shows the geographic impact of T. Lynnette Brammer'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 T. Lynnette Brammer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lynnette Brammer more than expected).
Fields of papers citing papers by T. Lynnette Brammer
This network shows the impact of papers produced by T. Lynnette Brammer. 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 T. Lynnette Brammer. The network helps show where T. Lynnette Brammer may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Lynnette Brammer, 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 | Cross-Reactive Antibody Responses to the 2009 Pandemic H1N1 Influenza Virus Hit paper breakdown → | 2009 | 1052 |
| 2 | 1992 | 121 | |
| 3 | Surveillance for influenza--United States, 1997-98, 1998-99, and 1999-00 seasons. | 2002 | 73 |
| 4 | 1994 | 49 | |
| 5 | Surveillance for influenza--United States, 1994-95, 1995-96, and 1996-97 seasons. | 2000 | 45 |
About T. Lynnette Brammer
T. Lynnette Brammer is a scholar working on Epidemiology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Emergency Medical Services and Organic Chemistry, having authored 5 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (1 paper), Respiratory viral infections research (1 paper), Viral Infections and Outbreaks Research (1 paper), Disaster Response and Management (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Epidemiology (1.1k citations), Modeling and Simulation (145 citations), Infectious Diseases (352 citations), Agronomy and Crop Science (189 citations) and Immunology (186 citations). T. Lynnette Brammer has collaborated with scholars based in United States. Frequent co-authors include Nancy J. Cox, Hong Sun, Libo Dong, Paul Gargiullo, Vic Veguilla, Eboneé N. Butler, Kathy Hancock, Feng Liu, Joshua DeVos and Jacqueline M. Katz. Their work appears in journals such as The Journal of Infectious Diseases, New England Journal of Medicine, European Journal of Epidemiology and PubMed.
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.