Diane J. Post
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Modeling and Simulation top 10%
Papers in
-
- Influenza Virus Research Studies 7
- Respiratory viral infections research 5
-
- Viral Infections and Outbreaks Research 5
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Paul C. Roberts (5 shared papers)Alison D. Augustine (2 shared papers)Erik J. Stemmy (2 shared papers)Anthony S. Fauci (1 shared paper)Emily J. Erbelding (1 shared paper)S E Ferguson (1 shared paper)Catharine I. Paules (1 shared paper)Barney S. Graham (1 shared paper)
- Journals
- Vaccine (4 papers)Influenza and Other Respiratory Viruses (2 papers)The Journal of Infectious Diseases (1 paper)Journal of Interferon & Cytokine Research (1 paper)
- Partner nations
- United StatesAustraliaNorway
In The Last Decade
Diane J. Post
8 papers receiving 347 citations
Diane J. Post's Hit Papers
Peers
Comparison fields: 5 of 44
- Epidemiology 304
- Modeling and Simulation 31
- Immunology 128
- Infectious Diseases 109
- Health 27
Countries citing papers authored by Diane J. Post
This map shows the geographic impact of Diane J. Post'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 Diane J. Post with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane J. Post more than expected).
Fields of papers citing papers by Diane J. Post
This network shows the impact of papers produced by Diane J. Post. 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 Diane J. Post. The network helps show where Diane J. Post may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane J. Post, 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 | A Universal Influenza Vaccine: The Strategic Plan for the National Institute of Allergy and Infectious Diseases Hit paper breakdown → | 2018 | 309 |
| 2 | 1996 | 16 | |
| 3 | 2019 | 13 | |
| 4 | 2019 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2020 | 1 |
About Diane J. Post
Diane J. Post is a scholar working on Epidemiology, Infectious Diseases, Immunology, Health and Virology, having authored 8 papers that have together received 351 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Viral Infections and Outbreaks Research (5 papers), Respiratory viral infections research (5 papers), HIV Research and Treatment (1 paper), Hepatitis C virus research (1 paper), Animal Disease Management and Epidemiology (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Epidemiology (304 citations), Modeling and Simulation (31 citations), Immunology (128 citations), Infectious Diseases (109 citations) and Health (27 citations). Diane J. Post has collaborated with scholars based in United States, Australia and Norway. Frequent co-authors include Paul C. Roberts, Alison D. Augustine, Erik J. Stemmy, Anthony S. Fauci, Emily J. Erbelding, S E Ferguson, Catharine I. Paules, Barney S. Graham, Joseph Bresee and Francesco Berlanda Scorza. Their work appears in journals such as Vaccine, Influenza and Other Respiratory Viruses, The Journal of Infectious Diseases and Journal of Interferon & Cytokine Research.
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.