Keith B. Boyle

1.9k total citations · 2 hit papers
17 papers, 1.3k citations indexed

About

Keith B. Boyle is a scholar working on Epidemiology, Immunology and Endocrinology. According to data from OpenAlex, Keith B. Boyle has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Immunology and 5 papers in Endocrinology. Recurrent topics in Keith B. Boyle's work include Autophagy in Disease and Therapy (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Toxoplasma gondii Research Studies (4 papers). Keith B. Boyle is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Toxoplasma gondii Research Studies (4 papers). Keith B. Boyle collaborates with scholars based in United Kingdom, United States and Germany. Keith B. Boyle's co-authors include Felix Randow, Elsje G. Otten, Cara J. Ellison, Emma Werner, Claudio Pathe, Michal P. Wandel, John R. Rohde, Ágnes Foeglein, Benjamin J. Ravenhill and Balaji Santhanam and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Keith B. Boyle

17 papers receiving 1.3k citations

Hit Papers

Ubiquitylation of lipopolysaccharide by RNF213 during bac... 2019 2026 2021 2023 2021 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith B. Boyle United Kingdom 12 663 587 404 208 133 17 1.3k
Grigory Ryzhakov United Kingdom 13 568 0.9× 775 1.3× 597 1.5× 204 1.0× 130 1.0× 17 1.5k
Takahiro Kamimoto Japan 10 661 1.0× 833 1.4× 222 0.5× 331 1.6× 147 1.1× 12 1.5k
Esteban Roberts United States 12 742 1.1× 1.1k 1.9× 403 1.0× 334 1.6× 156 1.2× 19 1.9k
Benjamin J. Ravenhill United Kingdom 9 388 0.6× 775 1.3× 199 0.5× 239 1.1× 138 1.0× 14 1.0k
Vanessa Sancho‐Shimizu United Kingdom 16 434 0.7× 570 1.0× 568 1.4× 69 0.3× 76 0.6× 29 1.3k
Kassidy K. Huynh Canada 13 567 0.9× 448 0.8× 291 0.7× 303 1.5× 39 0.3× 14 1.4k
Atsuki Nara Japan 15 896 1.4× 985 1.7× 291 0.7× 716 3.4× 158 1.2× 18 2.0k
Dorothee Schmid United States 11 580 0.9× 1.4k 2.3× 1.1k 2.7× 147 0.7× 250 1.9× 14 2.3k
Aristóbolo M. Silva Brazil 20 583 0.9× 267 0.5× 589 1.5× 108 0.5× 104 0.8× 43 1.4k
Lucile Espert France 22 802 1.2× 1.2k 2.1× 671 1.7× 181 0.9× 155 1.2× 44 2.3k

Countries citing papers authored by Keith B. Boyle

Since Specialization
Citations

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

Fields of papers citing papers by Keith B. Boyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith B. Boyle. 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 Keith B. Boyle. The network helps show where Keith B. Boyle may publish in the future.

Co-authorship network of co-authors of Keith B. Boyle

This figure shows the co-authorship network connecting the top 25 collaborators of Keith B. Boyle. A scholar is included among the top collaborators of Keith B. Boyle 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 Keith B. Boyle. Keith B. Boyle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Boyle, Keith B., Claudio Pathe, Ana Crespillo-Casado, et al.. (2025). Shigella flexneri evades LPS ubiquitylation through IpaH1.4-mediated degradation of RNF213. Nature Structural & Molecular Biology. 32(9). 1741–1751. 1 indexed citations
2.
Crespillo-Casado, Ana, Matthew C. J. Yip, Janet M. Young, et al.. (2024). Recognition of phylogenetically diverse pathogens through enzymatically amplified recruitment of RNF213. EMBO Reports. 25(11). 4979–5005. 5 indexed citations
3.
Boyle, Keith B., Cara J. Ellison, P.R. Elliott, et al.. (2023). TECPR1 conjugates LC3 to damaged endomembranes upon detection of sphingomyelin exposure. The EMBO Journal. 42(17). e113012–e113012. 38 indexed citations
4.
Covarrubias‐Pinto, Adriana, Lina Herhaus, Shankha Satpathy, et al.. (2021). SIK2 orchestrates actin-dependent host response upon Salmonella infection. Proceedings of the National Academy of Sciences. 118(19). 8 indexed citations
5.
Otten, Elsje G., Emma Werner, Ana Crespillo-Casado, et al.. (2021). Ubiquitylation of lipopolysaccharide by RNF213 during bacterial infection. Nature. 594(7861). 111–116. 229 indexed citations breakdown →
6.
Wandel, Michal P., Bae-Hoon Kim, Eui‐Soon Park, et al.. (2020). Guanylate-binding proteins convert cytosolic bacteria into caspase-4 signaling platforms. Nature Immunology. 21(8). 880–891. 198 indexed citations
7.
Ellison, Cara J., Wanda Kukulski, Keith B. Boyle, Sean Munro, & Felix Randow. (2020). Transbilayer Movement of Sphingomyelin Precedes Catastrophic Breakage of Enterobacteria-Containing Vacuoles. Current Biology. 30(15). 2974–2983.e6. 41 indexed citations
8.
Boyle, Keith B. & Felix Randow. (2019). Measuring Antibacterial Autophagy. Methods in molecular biology. 1880. 679–690. 2 indexed citations
9.
Ravenhill, Benjamin J., Keith B. Boyle, Natalia von Muhlinen, et al.. (2019). The Cargo Receptor NDP52 Initiates Selective Autophagy by Recruiting the ULK Complex to Cytosol-Invading Bacteria. Molecular Cell. 74(2). 320–329.e6. 221 indexed citations breakdown →
10.
Wandel, Michal P., Claudio Pathe, Emma Werner, et al.. (2017). GBPs Inhibit Motility of Shigella flexneri but Are Targeted for Degradation by the Bacterial Ubiquitin Ligase IpaH9.8. Cell Host & Microbe. 22(4). 507–518.e5. 131 indexed citations
11.
Thurston, Teresa L. M., Keith B. Boyle, Mark D. Allen, et al.. (2016). Recruitment of TBK 1 to cytosol‐invading Salmonella induces WIPI 2‐dependent antibacterial autophagy. The EMBO Journal. 35(16). 1779–1792. 96 indexed citations
12.
Boyle, Keith B., Teresa L. M. Thurston, & Felix Randow. (2016). TBK1 directs WIPI2 against Salmonella. Autophagy. 12(12). 2508–2509. 3 indexed citations
13.
Boyle, Keith B. & Felix Randow. (2013). The role of ‘eat-me’ signals and autophagy cargo receptors in innate immunity. Current Opinion in Microbiology. 16(3). 339–348. 159 indexed citations
14.
Boyle, Keith B., Len Stephens, & Phillip T. Hawkins. (2012). Activation of the neutrophil NADPH oxidase by Aspergillus fumigatus. Annals of the New York Academy of Sciences. 1273(1). 68–73. 13 indexed citations
15.
Juss, Jatinder K., Richard Hayhoe, Charles Owen, et al.. (2012). Functional Redundancy of Class I Phosphoinositide 3-Kinase (PI3K) Isoforms in Signaling Growth Factor-Mediated Human Neutrophil Survival. PLoS ONE. 7(9). e45933–e45933. 37 indexed citations
16.
Boyle, Keith B., Dávid Győri, Anca Sindrilaru, et al.. (2011). Class IA Phosphoinositide 3-Kinase β and δ Regulate Neutrophil Oxidase Activation in Response to Aspergillus fumigatus Hyphae. The Journal of Immunology. 186(5). 2978–2989. 57 indexed citations
17.
Anderson, Karen E., Keith B. Boyle, Keith Davidson, et al.. (2008). CD18-dependent activation of the neutrophil NADPH oxidase during phagocytosis of Escherichia coli or Staphylococcus aureus is regulated by class III but not class I or II PI3Ks. Blood. 112(13). 5202–5211. 75 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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