Douglas P. Dyer
- Immunology top 5%
- Immune Response and Inflammation 5
- Immune cells in cancer 4
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 2
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 8
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 10
- Oncology top 10%
- Chemokine receptors and signaling 14
- Genetics top 10%
-
- Glycosylation and Glycoproteins Research 9
- Co-authors
- Tracy M. HandelThang V. PhamJudith E. AllenCatherina L. SalangaAnthony J. DayCaroline M. MilnerMark A. TravisJamie Honeychurch
- Journals
- Journal of Biological Chemistry (4 papers)Science Signaling (3 papers)Open Biology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Douglas P. Dyer
28 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 497
- Immunology and Allergy 112
- Cell Biology 262
- Oncology 403
- Genetics 82
Countries citing papers authored by Douglas P. Dyer
This map shows the geographic impact of Douglas P. Dyer'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 Douglas P. Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas P. Dyer more than expected).
Fields of papers citing papers by Douglas P. Dyer
This network shows the impact of papers produced by Douglas P. Dyer. 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 Douglas P. Dyer. The network helps show where Douglas P. Dyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Douglas P. Dyer, 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 | 2025 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 10 | |
| 5 | The extracellular matrix and the immune system: A mutually dependent relationshipbreakdown → | 2023 | 246 |
| 6 | 2023 | 6 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 40 | |
| 10 | Immunomodulation by radiotherapy in tumour control and normal tissue toxicitybreakdown → | 2021 | 167 |
| 11 | 2019 | 89 | |
| 12 | 2017 | 34 | |
| 13 | 2017 | 25 | |
| 14 | 2016 | 16 | |
| 15 | 2015 | 54 | |
| 16 | 2015 | 92 | |
| 17 | 2014 | 46 | |
| 18 | 2014 | 35 | |
| 19 | 2014 | 23 | |
| 20 | 2014 | 145 |
About Douglas P. Dyer
Douglas P. Dyer is a scholar working on Immunology and Allergy, Cell Biology and Oncology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (14 papers), Proteoglycans and glycosaminoglycans research (10 papers), Glycosylation and Glycoproteins Research (9 papers), Cell Adhesion Molecules Research (8 papers), Immune Response and Inflammation (5 papers), Immune cells in cancer (4 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (497 citations), Immunology and Allergy (112 citations) and Cell Biology (262 citations). Douglas P. Dyer has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Tracy M. Handel, Thang V. Pham, Judith E. Allen, Catherina L. Salanga, Anthony J. Day, Caroline M. Milner, Mark A. Travis, Jamie Honeychurch, Kaye J. Williams and Tim Illidge. Their work appears in journals such as Journal of Biological Chemistry, Science Signaling, Open Biology, Scientific Reports and Nature reviews. Immunology.
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.