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
-
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- interferon and immune responses 1
- Genetics 4
- Virus-based gene therapy research 4
- Co-authors
- IG Young (7 shared papers)Colin J. Sanderson (2 shared papers)Angel F. López (3 shared papers)Jennifer R. Gamble (1 shared paper)M A Vadas (1 shared paper)S. Ymer (1 shared paper)AJ Hapel (2 shared papers)William Q. J. Tucker (1 shared paper)
- Journals
- Blood (3 papers)The Journal of Experimental Medicine (1 paper)Nature (1 paper)The Journal of Pathology (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- AustraliaUnited StatesNorway
In The Last Decade
HD Campbell
8 papers receiving 1.2k citations
HD Campbell's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology and Allergy 207
- Immunology 501
- Physiology 535
- Rheumatology 193
- Hematology 106
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 22 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 | 810 |
| 2 | 1985 | 268 | |
| 3 | 2007 | 84 | |
| 4 | 1988 | 74 | |
| 5 | Generation of an autocrine leukaemia using a retroviral expression vector carrying the interleukin-3 gene. | 1986 | 39 |
| 6 | 1995 | 18 | |
| 7 | 1988 | 8 | |
| 8 | 1988 | 3 |
About HD Campbell
HD Campbell is a scholar working on Immunology, Genetics, Physiology, Molecular Biology and Rehabilitation, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (2 papers), Asthma and respiratory diseases (2 papers), Immune Cell Function and Interaction (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Wound Healing and Treatments (1 paper), Antimicrobial Peptides and Activities (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology and Allergy (207 citations), Immunology (501 citations), Physiology (535 citations), Rheumatology (193 citations) and Hematology (106 citations). HD Campbell has collaborated with scholars based in Australia, United States and Norway. Frequent co-authors include IG Young, Colin J. Sanderson, Angel F. López, Jennifer R. Gamble, M A Vadas, S. Ymer, AJ Hapel, William Q. J. Tucker, GR Sutherland and MA Vadas. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Nature, 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.