Douglas P. Dyer

2.0k total citations · 2 hit papers
29 papers, 1.3k citations indexed

About

Douglas P. Dyer is a scholar working on Oncology, Immunology and Cell Biology. According to data from OpenAlex, Douglas P. Dyer has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 12 papers in Immunology and 11 papers in Cell Biology. Recurrent topics in Douglas P. Dyer's work include Chemokine receptors and signaling (14 papers), Proteoglycans and glycosaminoglycans research (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Douglas P. Dyer is often cited by papers focused on Chemokine receptors and signaling (14 papers), Proteoglycans and glycosaminoglycans research (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Douglas P. Dyer collaborates with scholars based in United Kingdom, United States and Germany. Douglas P. Dyer's 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 and has published in prestigious journals such as Science, Journal of Biological Chemistry and Immunity.

In The Last Decade

Douglas P. Dyer

28 papers receiving 1.3k citations

Hit Papers

The extracellular matrix and the immune system: A mu... 2021 2026 2022 2024 2023 2021 50 100 150 200

Peers

Douglas P. Dyer
Peter Ruminski United States
Keehoon Jung South Korea
Jonna Nevo Finland
Witold W. Kilarski Switzerland
Greg Parsonage United Kingdom
Peter Ruminski United States
Douglas P. Dyer
Citations per year, relative to Douglas P. Dyer Douglas P. Dyer (= 1×) peers Peter Ruminski

Countries citing papers authored by Douglas P. Dyer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Douglas P. Dyer

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas P. Dyer. A scholar is included among the top collaborators of Douglas P. Dyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Douglas P. Dyer. Douglas P. Dyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Howell, Gareth, Amanda J. L. Ridley, Rebecca L. Miller, et al.. (2025). Leukocytes have a heparan sulfate glycocalyx that regulates recruitment during psoriasis-like skin inflammation. Science Signaling. 18(911). eadr0011–eadr0011.
2.
Ridley, Amanda J. L., Richard Karlsson, Andrew S. MacDonald, et al.. (2023). Chemokines form complex signals during inflammation and disease that can be decoded by extracellular matrix proteoglycans. Science Signaling. 16(810). eadf2537–eadf2537. 10 indexed citations
3.
Drummond, Sheona P., Eckart Bartnik, Nikolaos Kouvatsos, et al.. (2023). The recombinant Link module of human TSG-6 suppresses cartilage damage in models of osteoarthritis: A potential disease-modifying OA drug. Osteoarthritis and Cartilage. 31(10). 1353–1364. 5 indexed citations
4.
Mincham, Kyle T., Robert J. Snelgrove, Tomoko Tsuchiya, et al.. (2023). CXCL17 binds efficaciously to glycosaminoglycans with the potential to modulate chemokine signaling. Frontiers in Immunology. 14. 1254697–1254697. 10 indexed citations
5.
Pham, Thang V., Douglas P. Dyer, & Judith E. Allen. (2023). The extracellular matrix and the immune system: A mutually dependent relationship. Science. 379(6633). eabp8964–eabp8964. 246 indexed citations breakdown →
6.
Gray, Anna L., Ingo Schießl, & Douglas P. Dyer. (2023). Chronic cranial window implantation for high-resolution intravital imaging of the endothelial glycocalyx in mouse cortex. STAR Protocols. 4(4). 102712–102712. 6 indexed citations
7.
Cook, James, Anna L. Gray, Eloïse Lemarchand, et al.. (2022). LRRC8Ais dispensable for a variety of microglial functions and response to acute stroke. Glia. 70(6). 1068–1083. 10 indexed citations
8.
Medina‐Ruiz, Laura, Robin Bartolini, Gillian Wilson, et al.. (2022). Analysis of combinatorial chemokine receptor expression dynamics using multi-receptor reporter mice. eLife. 11. 15 indexed citations
9.
Karlsson, Richard, Pradeep Chopra, Zhang Yang, et al.. (2021). Dissecting structure-function of 3-O-sulfated heparin and engineered heparan sulfates. Science Advances. 7(52). eabl6026–eabl6026. 40 indexed citations
10.
Cytlak, Urszula, Douglas P. Dyer, Jamie Honeychurch, et al.. (2021). Immunomodulation by radiotherapy in tumour control and normal tissue toxicity. Nature reviews. Immunology. 22(2). 124–138. 167 indexed citations breakdown →
11.
Dyer, Douglas P., Laura Medina‐Ruiz, Robin Bartolini, et al.. (2019). Chemokine Receptor Redundancy and Specificity Are Context Dependent. Immunity. 50(2). 378–389.e5. 89 indexed citations
12.
Dyer, Douglas P., Elisa Migliorini, Catherina L. Salanga, et al.. (2017). Differential structural remodelling of heparan sulfate by chemokines: the role of chemokine oligomerization. Open Biology. 7(1). 160286–160286. 34 indexed citations
13.
Dyer, Douglas P., et al.. (2017). CXCR2 deficient mice display macrophage-dependent exaggerated acute inflammatory responses. Scientific Reports. 7(1). 42681–42681. 25 indexed citations
14.
Tyler, Robert C., Francis C. Peterson, Douglas P. Dyer, et al.. (2016). Examination of Glycosaminoglycan Binding Sites on the XCL1 Dimer. Biochemistry. 55(8). 1214–1225. 16 indexed citations
15.
Migliorini, Elisa, Dhruv Thakar, Rabia Sadir, et al.. (2015). Cytokines and growth factors cross-link heparan sulfate. Open Biology. 5(8). 150046–150046. 54 indexed citations
16.
Dyer, Douglas P., Catherina L. Salanga, Brian F. Volkman, Tetsuya Kawamura, & Tracy M. Handel. (2015). The dependence of chemokine–glycosaminoglycan interactions on chemokine oligomerization. Glycobiology. 26(3). cwv100–cwv100. 92 indexed citations
17.
Higman, Victoria Ann, David C. Briggs, David J. Mahoney, et al.. (2014). A Refined Model for the TSG-6 Link Module in Complex with Hyaluronan. Journal of Biological Chemistry. 289(9). 5619–5634. 46 indexed citations
18.
Salanga, Catherina L., Douglas P. Dyer, Janna Kiselar, et al.. (2014). Multiple Glycosaminoglycan-binding Epitopes of Monocyte Chemoattractant Protein-3/CCL7 Enable It to Function as a Non-oligomerizing Chemokine. Journal of Biological Chemistry. 289(21). 14896–14912. 35 indexed citations
19.
Bonvin, Pauline, Steven M. Dunn, François Rousseau, et al.. (2014). Identification of the Pharmacophore of the CC Chemokine-binding Proteins Evasin-1 and -4 Using Phage Display. Journal of Biological Chemistry. 289(46). 31846–31855. 23 indexed citations
20.
Dyer, Douglas P., Jennifer M. Thomson, Aurélie Hermant, et al.. (2014). TSG-6 Inhibits Neutrophil Migration via Direct Interaction with the Chemokine CXCL8. The Journal of Immunology. 192(5). 2177–2185. 145 indexed citations

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.

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