HD Campbell
Impact in
- Immunology and Allergy top 2%
- Allergic Rhinitis and Sensitization
- Immunology top 5%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
Papers in
-
- Immune Cell Function and Interaction 3
- T-cell and Retrovirus Studies 2
- Immunotherapy and Immune Responses 2
- interferon and immune responses 1
- Genetics 4
- Virus-based gene therapy research 4
- Co-authors
- IG Young (8 shared papers)Colin J. Sanderson (2 shared papers)Angel Francisco Lopez (3 shared papers)Jennifer R. Gamble (1 shared paper)M A Vadas (1 shared paper)AJ Hapel (2 shared papers)S. Ymer (2 shared papers)William Q. J. Tucker (1 shared paper)
- Journals
- Blood (3 papers)Nature (1 paper)The Journal of Experimental Medicine (1 paper)The Journal of Pathology (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
HD Campbell
9 papers receiving 1.3k citations
HD Campbell's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology and Allergy 220
- Immunology 560
- Physiology 571
- Rheumatology 204
- Hematology 118
Countries citing papers authored by HD Campbell
This map shows the geographic impact of HD Campbell'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 HD Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HD Campbell more than expected).
Fields of papers citing papers by HD Campbell
This network shows the impact of papers produced by HD Campbell. 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 HD Campbell. The network helps show where HD Campbell may publish in the future.
Co-authors
The 23 scholars most cited alongside HD Campbell, 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 | Recombinant human interleukin 5 is a selective activator of human eosinophil function. Hit paper breakdown → | 1988 | 860 |
| 2 | 1985 | 294 | |
| 3 | 2007 | 89 | |
| 4 | 1988 | 83 | |
| 5 | Generation of an autocrine leukaemia using a retroviral expression vector carrying the interleukin-3 gene. | 1986 | 43 |
| 6 | 1995 | 22 | |
| 7 | 1988 | 8 | |
| 8 | 1988 | 3 | |
| 9 | 1987 | 1 |
About HD Campbell
HD Campbell is a scholar working on Immunology, Genetics, Immunology and Allergy, Microbiology and Rehabilitation, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and Retrovirus Studies (2 papers), Immunotherapy and Immune Responses (2 papers), Asthma and respiratory diseases (2 papers), Cell Adhesion Molecules Research (1 paper), interferon and immune responses (1 paper) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Immunology and Allergy (220 citations), Immunology (560 citations), Physiology (571 citations), Rheumatology (204 citations) and Hematology (118 citations). HD Campbell has collaborated with scholars based in Australia and United States. Frequent co-authors include IG Young, Colin J. Sanderson, Angel Francisco Lopez, Jennifer R. Gamble, M A Vadas, AJ Hapel, S. Ymer, William Q. J. Tucker, GR Sutherland and MA Vadas. Their work appears in journals such as Blood, Nature, The Journal of Experimental Medicine, The Journal of Pathology and JNCI Journal of the National Cancer Institute.
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.