D. J. Hulse-Post
Impact in
- Agronomy and Crop Science top 0.5%
- Animal Disease Management and Epidemiology
- Epidemiology top 1%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 10
- Influenza Virus Research Studies 10
- Respiratory viral infections research 4
-
- Animal Disease Management and Epidemiology 6
- Co-authors
- Robert G. Webster (7 shared papers)Rachael Keating (1 shared paper)Peter C. Doherty (1 shared paper)Paul G. Thomas (1 shared paper)Katharine Sturm‐Ramirez (6 shared papers)Jennifer Humberd (3 shared papers)Elena A. Govorkova (3 shared papers)Yi Guan (3 shared papers)
- Journals
- Emerging infectious diseases (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Virology (2 papers)The Journal of Experimental Medicine (1 paper)Avian Diseases (1 paper)
- Partner nations
- United StatesHong KongThailand
In The Last Decade
D. J. Hulse-Post
10 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 63
- Agronomy and Crop Science 1.1k
- Epidemiology 1.8k
- Infectious Diseases 842
- Immunology 468
- Animal Science and Zoology 199
Countries citing papers authored by D. J. Hulse-Post
This map shows the geographic impact of D. J. Hulse-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 D. J. Hulse-Post with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Hulse-Post more than expected).
Fields of papers citing papers by D. J. Hulse-Post
This network shows the impact of papers produced by D. J. Hulse-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 D. J. Hulse-Post. The network helps show where D. J. Hulse-Post may publish in the future.
Co-authors
The 25 scholars most cited alongside D. J. Hulse-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 | 2005 | 401 | |
| 2 | 2005 | 368 | |
| 3 | 2006 | 366 | |
| 4 | 2006 | 292 | |
| 5 | 2007 | 183 | |
| 6 | 2006 | 171 | |
| 7 | 2008 | 90 | |
| 8 | 2007 | 50 | |
| 9 | Evolution of influenza A viruses in wild birds | 2007 | 44 |
| 10 | 2007 | 5 |
About D. J. Hulse-Post
D. J. Hulse-Post is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Immunology and Molecular Biology, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (6 papers), Respiratory viral infections research (4 papers), Viral Infections and Vectors (3 papers), Immune Response and Inflammation (2 papers), RNA and protein synthesis mechanisms (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Agronomy and Crop Science (1.1k citations), Epidemiology (1.8k citations), Infectious Diseases (842 citations), Immunology (468 citations) and Animal Science and Zoology (199 citations). D. J. Hulse-Post has collaborated with scholars based in United States, Hong Kong and Thailand. Frequent co-authors include Robert G. Webster, Rachael Keating, Peter C. Doherty, Paul G. Thomas, Katharine Sturm‐Ramirez, Jennifer Humberd, Elena A. Govorkova, Yi Guan, Malik Peiris and John Franks. Their work appears in journals such as Emerging infectious diseases, Proceedings of the National Academy of Sciences, Journal of Virology, The Journal of Experimental Medicine and Avian Diseases.
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.