H. T. Long
Impact in
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
-
- Leprosy Research and Treatment 2
- Tuberculosis Research and Epidemiology 2
- COVID-19 Clinical Research Studies 1
-
- Influenza Virus Research Studies 3
- Mycobacterium research and diagnosis 2
- Co-authors
- Malik Peiris (3 shared papers)Tung Nguyen (3 shared papers)Katharine Sturm‐Ramirez (2 shared papers)Jennifer Humberd (2 shared papers)T.M. Ellis (2 shared papers)T. S. P. Naipospos (2 shared papers)Yi Guan (2 shared papers)Elena A. Govorkova (2 shared papers)
- Journals
- Journal of Virology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Virology (1 paper)Vaccine (1 paper)Tissue Antigens (1 paper)
- Partner nations
- VietnamUnited StatesChina
In The Last Decade
H. T. Long
7 papers receiving 803 citations
Peers
Comparison fields: 5 of 48
- Agronomy and Crop Science 526
- Infectious Diseases 442
- Epidemiology 737
- Modeling and Simulation 46
- Animal Science and Zoology 94
Countries citing papers authored by H. T. Long
This map shows the geographic impact of H. T. Long'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 H. T. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. T. Long more than expected).
Fields of papers citing papers by H. T. Long
This network shows the impact of papers produced by H. T. Long. 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 H. T. Long. The network helps show where H. T. Long may publish in the future.
Co-authors
The 25 scholars most cited alongside H. T. Long, 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 | 402 | |
| 2 | 2005 | 369 | |
| 3 | 2006 | 56 | |
| 4 | 2004 | 12 | |
| 5 | 2005 | 11 | |
| 6 | 1989 | 4 | |
| 7 | 1988 | 3 |
About H. T. Long
H. T. Long is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Agronomy and Crop Science and Surgery, having authored 7 papers that have together received 857 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Leprosy Research and Treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), vaccines and immunoinformatics approaches (2 papers), Animal Disease Management and Epidemiology (2 papers), COVID-19 Clinical Research Studies (1 paper) and Infectious Diseases and Tuberculosis (1 paper). The work is most often cited by research in Agronomy and Crop Science (526 citations), Infectious Diseases (442 citations), Epidemiology (737 citations), Modeling and Simulation (46 citations) and Animal Science and Zoology (94 citations). H. T. Long has collaborated with scholars based in Vietnam, United States and China. Frequent co-authors include Malik Peiris, Tung Nguyen, Katharine Sturm‐Ramirez, Jennifer Humberd, T.M. Ellis, T. S. P. Naipospos, Yi Guan, Elena A. Govorkova, D. J. Hulse-Post and Patrick Seiler. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Clinical Virology, Vaccine and Tissue Antigens.
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.