AJ Hapel
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
Papers in
- Immunology 14
- Immune Cell Function and Interaction 11
- Immune Response and Inflammation 7
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- Genetics 5
- Virus-based gene therapy research 4
- Co-authors
- IG Young (6 shared papers)G. Appleyard (1 shared paper)Etienne Boulter (1 shared paper)William Q. J. Tucker (1 shared paper)S. Ymer (1 shared paper)HD Campbell (2 shared papers)Colin J. Sanderson (1 shared paper)David Hume (5 shared papers)
- Journals
- Blood (11 papers)The Journal of Immunology (2 papers)British Journal of Haematology (1 paper)Journal of Gastroenterology and Hepatology (1 paper)Nature (1 paper)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
AJ Hapel
21 papers receiving 916 citations
Peers
Comparison fields: 5 of 79
- Virology 165
- Immunology 359
- Hematology 172
- Genetics 243
- Rehabilitation 49
Countries citing papers authored by AJ Hapel
This map shows the geographic impact of AJ Hapel'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 AJ Hapel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AJ Hapel more than expected).
Fields of papers citing papers by AJ Hapel
This network shows the impact of papers produced by AJ Hapel. 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 AJ Hapel. The network helps show where AJ Hapel may publish in the future.
Co-authors
The 25 scholars most cited alongside AJ Hapel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 292 | |
| 2 | 1971 | 182 | |
| 3 | 1984 | 112 | |
| 4 | 1995 | 88 | |
| 5 | 1985 | 85 | |
| 6 | 1992 | 61 | |
| 7 | 1993 | 25 | |
| 8 | 1985 | 24 | |
| 9 | 1991 | 24 | |
| 10 | 1985 | 23 | |
| 11 | 1989 | 20 | |
| 12 | 1990 | 18 | |
| 13 | 1992 | 8 | |
| 14 | 1991 | 5 | |
| 15 | 1988 | 3 | |
| 16 | 1989 | 3 | |
| 17 | 1984 | 2 | |
| 18 | 1985 | 1 | |
| 19 | 1993 | 1 | |
| 20 | 1991 | 1 |
About AJ Hapel
AJ Hapel is a scholar working on Immunology, Genetics, Molecular Biology, Surgery and Hematology, having authored 21 papers that have together received 979 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (7 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Virus-based gene therapy research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Xenotransplantation and immune response (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Virology (165 citations), Immunology (359 citations), Hematology (172 citations), Genetics (243 citations) and Rehabilitation (49 citations). AJ Hapel has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include IG Young, G. Appleyard, Etienne Boulter, William Q. J. Tucker, S. Ymer, HD Campbell, Colin J. Sanderson, David Hume, M. C. Fung and J. Dennis Wilson. Their work appears in journals such as Blood, The Journal of Immunology, British Journal of Haematology, Journal of Gastroenterology and Hepatology and Nature.
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.