Philip D. Rye

2.1k total citations
59 papers, 1.4k citations indexed

About

Philip D. Rye is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Philip D. Rye has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Philip D. Rye's work include Glycosylation and Glycoproteins Research (15 papers), Cystic Fibrosis Research Advances (11 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Philip D. Rye is often cited by papers focused on Glycosylation and Glycoproteins Research (15 papers), Cystic Fibrosis Research Advances (11 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). Philip D. Rye collaborates with scholars based in United Kingdom, Norway and Sweden. Philip D. Rye's co-authors include Katja E. Hill, David W. Thomas, Lydia C. Powell, M. Pritchard, E. Onsøyen, Nicolai V. Bovin, Kjell Nustad, G Hale, Anthony Warford and I Lauder and has published in prestigious journals such as PLoS ONE, Biochemistry and Scientific Reports.

In The Last Decade

Philip D. Rye

59 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip D. Rye United Kingdom 22 758 229 209 141 131 59 1.4k
Luca Vannucci Czechia 25 692 0.9× 124 0.5× 132 0.6× 431 3.1× 19 0.1× 87 2.1k
Russell S. Jones United States 17 418 0.6× 136 0.6× 122 0.6× 106 0.8× 50 0.4× 44 1.3k
Shahanavaj Khan Saudi Arabia 22 684 0.9× 98 0.4× 45 0.2× 114 0.8× 23 0.2× 55 1.5k
Marcelo A. Lima Brazil 22 608 0.8× 36 0.2× 114 0.5× 107 0.8× 19 0.1× 76 1.4k
Lianli Chi China 29 1.2k 1.6× 49 0.2× 96 0.5× 124 0.9× 19 0.1× 74 2.0k
Kohei Ogura Japan 17 704 0.9× 32 0.1× 204 1.0× 106 0.8× 29 0.2× 65 1.3k
Hee-Jeong Lee South Korea 25 992 1.3× 95 0.4× 17 0.1× 292 2.1× 189 1.4× 87 2.0k
Qing Zhao China 25 904 1.2× 34 0.1× 37 0.2× 300 2.1× 74 0.6× 64 1.8k
Vajihe Akbari Iran 22 585 0.8× 45 0.2× 19 0.1× 80 0.6× 70 0.5× 66 1.3k

Countries citing papers authored by Philip D. Rye

Since Specialization
Citations

This map shows the geographic impact of Philip D. Rye'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 Philip D. Rye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip D. Rye more than expected).

Fields of papers citing papers by Philip D. Rye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip D. Rye. 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 Philip D. Rye. The network helps show where Philip D. Rye may publish in the future.

Co-authorship network of co-authors of Philip D. Rye

This figure shows the co-authorship network connecting the top 25 collaborators of Philip D. Rye. A scholar is included among the top collaborators of Philip D. Rye 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 Philip D. Rye. Philip D. Rye 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.
Tagalakis, Aristides D., et al.. (2024). Low Molecular Weight Alginate Oligosaccharides as Alternatives to PEG for Enhancement of the Diffusion of Cationic Nanoparticles Through Cystic Fibrosis Mucus. Advanced Healthcare Materials. 14(1). e2400510–e2400510. 2 indexed citations
2.
Pritchard, M., Lydia C. Powell, Georgina Menzies, et al.. (2023). Structure–Activity Relationships of Low Molecular Weight Alginate Oligosaccharide Therapy against Pseudomonas aeruginosa. Biomolecules. 13(9). 1366–1366. 6 indexed citations
3.
Rye, Philip D., et al.. (2022). Alginate oligosaccharides enhance diffusion and activity of colistin in a mucin-rich environment. Scientific Reports. 12(1). 4986–4986. 6 indexed citations
4.
Weiser, Rebecca, Philip D. Rye, & Eshwar Mahenthiralingam. (2021). Implementation of microbiota analysis in clinical trials for cystic fibrosis lung infection: Experience from the OligoG phase 2b clinical trials. Journal of Microbiological Methods. 181. 106133–106133. 5 indexed citations
5.
Powell, Lydia C., M. Pritchard, Elaine L. Ferguson, et al.. (2018). Targeted disruption of the extracellular polymeric network of Pseudomonas aeruginosa biofilms by alginate oligosaccharides. npj Biofilms and Microbiomes. 4(1). 13–13. 141 indexed citations
6.
Pritchard, M., Lydia C. Powell, Saira Khan, et al.. (2017). The antimicrobial effects of the alginate oligomer OligoG CF-5/20 are independent of direct bacterial cell membrane disruption. Scientific Reports. 7(1). 44731–44731. 22 indexed citations
7.
Lindahl, Torbjørn, Peter Wetterberg, Solve Sæbø, et al.. (2011). A Gene Expression Pattern in Blood for the Early Detection of Alzheimer's Disease. Journal of Alzheimer s Disease. 23(1). 109–119. 89 indexed citations
8.
Rye, Philip D., Kjell Nustad, & Torgny Stigbrand. (2003). Tumor Marker Workshops. Tumor Biology. 24(4). 165–171. 16 indexed citations
9.
Rye, Philip D. & Michael A. McGuckin. (2001). MUC1: Antibodies and Immunoassays. Tumor Biology. 22(4). 269–272. 11 indexed citations
10.
Norum, Lars F., et al.. (2001). New Immunoassays for MUC1 in Breast Cancer. Tumor Biology. 22(4). 216–222. 15 indexed citations
11.
Fodstad, Øystein, et al.. (1997). Improved iwbjnomaghetic method fob detection and characterization of cancer cells in blood and bone harrow. Experimental Hematology. 25(8). 1 indexed citations
12.
Rye, Philip D. & Nicolai V. Bovin. (1997). Selection of carbohydrate-binding cell phenotypes using oligosaccharide-coated magnetic particles. Glycobiology. 7(2). 179–182. 25 indexed citations
13.
Rye, Philip D., et al.. (1996). Brain metastasis model in athymic nude mice using a novel MUC1‐secreting human breast‐cancer cell line, MA11. International Journal of Cancer. 68(5). 682–687. 3 indexed citations
14.
Rye, Philip D., et al.. (1996). Brain metastasis model in athymic nude mice using a novel MUC1-secreting human breast-cancer cell line, MA11. International Journal of Cancer. 68(5). 682–687. 54 indexed citations
15.
Rye, Philip D., et al.. (1995). Monoclonal antibody LU-BCRU-G7 against a breast tumour-associated glycoprotein recognizes the disaccharide Galβ1-3GlcNAc. Glycobiology. 5(4). 385–389. 32 indexed citations
16.
Rye, Philip D. & R A Walker. (1994). Prognostic value of a breast cancer-associated glycoprotein detected by monoclonal antibody LU-BCRU-G7. European Journal of Cancer. 30(7). 1007–1012. 4 indexed citations
17.
Rye, Philip D., et al.. (1993). Expression Of The Ps2 Peptide In Normal Human Glandular Endometrium During The Menstrual Cycle: A Possible Function. Disease Markers. 11(1). 23–28. 2 indexed citations
18.
Rye, Philip D. & R A Walker. (1993). Immunohistochemical Distribution of a Breast Cancer‐Associated Glycoprotein. Disease Markers. 11(2-3). 91–101. 1 indexed citations
19.
20.
Rye, Philip D., et al.. (1993). Instructions in learning skills: an integrated approach. Medical Education. 27(6). 470–473. 24 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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