D.J. Gilbert
Impact in
- Cell Biology top 5%
- melanin and skin pigmentation
- Immunology top 10%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
-
- RNA Research and Splicing 4
- Glycosylation and Glycoproteins Research 2
- Peroxisome Proliferator-Activated Receptors 2
- Ubiquitin and proteasome pathways 1
-
- interferon and immune responses 2
- Galectins and Cancer Biology 1
- Co-authors
- Neal G. Copeland (8 shared papers)N.A. Jenkins (10 shared papers)Vincent Hearing (1 shared paper)D. Chambers (1 shared paper)Katsuhiko Tsukamoto (1 shared paper)Ian J. Jackson (1 shared paper)Caroline Lee (1 shared paper)N G Copeland (1 shared paper)
- Journals
- Genomics (4 papers)The Journal of Immunology (3 papers)Cytogenetic and Genome Research (1 paper)Journal of Virology (1 paper)Immunogenetics (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
D.J. Gilbert
15 papers receiving 884 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 271
- Immunology 275
- Nutrition and Dietetics 181
- Sensory Systems 37
- Dermatology 66
Countries citing papers authored by D.J. Gilbert
This map shows the geographic impact of D.J. Gilbert'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. Gilbert 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. Gilbert more than expected).
Fields of papers citing papers by D.J. Gilbert
This network shows the impact of papers produced by D.J. Gilbert. 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. Gilbert. The network helps show where D.J. Gilbert may publish in the future.
Co-authors
The 25 scholars most cited alongside D.J. Gilbert, 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 | 1992 | 289 | |
| 2 | 1995 | 123 | |
| 3 | 1993 | 61 | |
| 4 | 1993 | 60 | |
| 5 | 1992 | 57 | |
| 6 | Unp, a mouse gene related to the tre oncogene. | 1993 | 53 |
| 7 | 1994 | 48 | |
| 8 | 1995 | 46 | |
| 9 | Common sites of viral integration in lymphomas arising in AKXD recombinant inbred mouse strains. | 1987 | 46 |
| 10 | 1995 | 43 | |
| 11 | 1993 | 32 | |
| 12 | 1993 | 30 | |
| 13 | 1994 | 19 | |
| 14 | 2008 | 4 | |
| 15 | 2000 | 3 | |
| 16 | 2008 | 0 |
About D.J. Gilbert
D.J. Gilbert is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Genetics, having authored 16 papers that have together received 914 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Bacterial Genetics and Biotechnology (2 papers), Ubiquitin and proteasome pathways (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cell Biology (271 citations), Immunology (275 citations), Nutrition and Dietetics (181 citations), Sensory Systems (37 citations) and Dermatology (66 citations). D.J. Gilbert has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Neal G. Copeland, N.A. Jenkins, Vincent Hearing, D. Chambers, Katsuhiko Tsukamoto, Ian J. Jackson, Caroline Lee, N G Copeland, Benjamin A. Taylor and N G Copeland. Their work appears in journals such as Genomics, The Journal of Immunology, Cytogenetic and Genome Research, Journal of Virology and Immunogenetics.
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.