D. J. Campbell
- Endocrine and Autonomic Systems top 10%
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies 7
- Gestational Diabetes Research and Management 5
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- Immunotherapy and Immune Responses 5
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- Virus-based gene therapy research 6
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- RNA Interference and Gene Delivery 3
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- Growth Hormone and Insulin-like Growth Factors 3
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- Neonatal Respiratory Health Research 3
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- A. G. PettigrewDavid J Henderson‐SmartN. C. WathenJJ StrainT. ChardJan ter MeulenE. SimpsonJohn Beattie
- Cited by
- Endocrine and Autonomic SystemsObstetrics and GynecologyPediatrics, Perinatology and Child Health
- Journals
- New England Journal of Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
D. J. Campbell
32 papers receiving 592 citations
Peers
Comparison fields: 5 of 95
- Endocrine and Autonomic Systems 77
- Obstetrics and Gynecology 62
- Pediatrics, Perinatology and Child Health 145
- Immunology 152
- Developmental Neuroscience 16
Countries citing papers authored by D. J. Campbell
This map shows the geographic impact of D. J. 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 D. J. Campbell 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. Campbell more than expected).
Fields of papers citing papers by D. J. Campbell
This network shows the impact of papers produced by D. J. 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 D. J. Campbell. The network helps show where D. J. Campbell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. J. 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 | 2016 | 31 | |
| 2 | 2015 | 46 | |
| 3 | 2015 | 22 | |
| 4 | 2015 | 7 | |
| 5 | 2013 | 7 | |
| 6 | 2009 | 78 | |
| 7 | 2008 | 14 | |
| 8 | 2006 | 3 | |
| 9 | 2004 | 32 | |
| 10 | 1996 | 5 | |
| 11 | 1996 | 11 | |
| 12 | 1995 | 4 | |
| 13 | 1995 | 8 | |
| 14 | 1995 | 13 | |
| 15 | 1993 | 58 | |
| 16 | 1993 | 19 | |
| 17 | 1993 | 10 | |
| 18 | 1993 | 11 | |
| 19 | 1992 | 16 | |
| 20 | 1991 | 13 |
About D. J. Campbell
D. J. Campbell is a scholar working on Obstetrics and Gynecology, Behavioral Neuroscience and Transplantation, having authored 33 papers that have together received 618 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (5 papers), Gestational Diabetes Research and Management (5 papers), RNA Interference and Gene Delivery (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Neonatal Respiratory Health Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (77 citations), Obstetrics and Gynecology (62 citations) and Pediatrics, Perinatology and Child Health (145 citations). D. J. Campbell has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include A. G. Pettigrew, David J Henderson‐Smart, N. C. Wathen, JJ Strain, T. Chard, Jan ter Meulen, E. Simpson, John Beattie, Jacqueline M. O’Connor and Clare Hodkinson. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Cancer Research.
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.