David Owen

2.7k total citations
26 papers, 930 citations indexed

About

David Owen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, David Owen has authored 26 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 5 papers in Infectious Diseases. Recurrent topics in David Owen's work include Computational Drug Discovery Methods (9 papers), Glycosylation and Glycoproteins Research (5 papers) and Probiotics and Fermented Foods (4 papers). David Owen is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Glycosylation and Glycoproteins Research (5 papers) and Probiotics and Fermented Foods (4 papers). David Owen collaborates with scholars based in United Kingdom, United States and Spain. David Owen's co-authors include Nathalie Juge, Louise E. Tailford, Martin Walsh, Petra Lukacik, G.L. Taylor, Emmanuelle H. Crost, John Walshaw, Claire Strain‐Damerell, Andrew Bell and Gwénaëlle Le Gall and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

David Owen

25 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Owen United Kingdom 17 635 190 167 163 157 26 930
Javier Eduardo García‐Castañeda Colombia 22 727 1.1× 171 0.9× 62 0.4× 183 1.1× 81 0.5× 102 1.5k
Jasmine Kaur India 17 466 0.7× 145 0.8× 190 1.1× 104 0.6× 143 0.9× 84 1.2k
Suvash Chandra Ojha China 16 259 0.4× 131 0.7× 68 0.4× 73 0.4× 41 0.3× 74 765
M. Vuckovic Canada 20 611 1.0× 322 1.7× 115 0.7× 110 0.7× 22 0.1× 30 1.6k
Anjan Debnath United States 24 687 1.1× 559 2.9× 26 0.2× 225 1.4× 48 0.3× 61 1.8k
Philip Lin Huang United States 14 449 0.7× 118 0.6× 167 1.0× 211 1.3× 65 0.4× 25 1.2k
Subhomoi Borkotoky India 15 381 0.6× 139 0.7× 75 0.4× 64 0.4× 13 0.1× 28 681
Mary Ann DeGroote United States 10 232 0.4× 382 2.0× 95 0.6× 91 0.6× 41 0.3× 13 706
Peter Saß Germany 20 801 1.3× 268 1.4× 105 0.6× 96 0.6× 16 0.1× 41 1.3k
Antônio Ferreira‐Pereira Brazil 20 415 0.7× 402 2.1× 105 0.6× 112 0.7× 44 0.3× 64 1.2k

Countries citing papers authored by David Owen

Since Specialization
Citations

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

Fields of papers citing papers by David Owen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Owen. 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 David Owen. The network helps show where David Owen may publish in the future.

Co-authorship network of co-authors of David Owen

This figure shows the co-authorship network connecting the top 25 collaborators of David Owen. A scholar is included among the top collaborators of David Owen 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 David Owen. David Owen 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.
Miura, Takashi, Tika R. Malla, Lennart Brewitz, et al.. (2024). Cyclic β2,3-amino acids improve the serum stability of macrocyclic peptide inhibitors targeting the SARS-CoV-2 main protease. Bulletin of the Chemical Society of Japan. 97(5). uoae018–uoae018. 12 indexed citations
2.
Waterman, David G., Tim Gruene, Yun Song, et al.. (2024). Cryo-tomography and 3D Electron Diffraction Reveal the Polar Habit and Chiral Structure of the Malaria Pigment Crystal Hemozoin. ACS Central Science. 10(8). 1504–1514. 4 indexed citations
3.
Wu, Haiyang, Rui Wang, David Owen, et al.. (2024). Exploring the sequence-function space of microbial fucosidases. Communications Chemistry. 7(1). 137–137. 4 indexed citations
4.
Brewitz, Lennart, David Owen, Stephen M. Laidlaw, et al.. (2023). Alkyne Derivatives of SARS-CoV-2 Main Protease Inhibitors Including Nirmatrelvir Inhibit by Reacting Covalently with the Nucleophilic Cysteine. Journal of Medicinal Chemistry. 66(4). 2663–2680. 38 indexed citations
5.
Parkhurst, James M., C. Alistair Siebert, Maud Dumoux, et al.. (2023). Investigation of the milling characteristics of different focused-ion-beam sources assessed by three-dimensional electron diffraction from crystal lamellae. IUCrJ. 10(3). 270–287. 5 indexed citations
6.
Dantas, Rafael Ferreira, Mário Roberto Senger, Milene Dias Miranda, et al.. (2023). AI-Driven Discovery of SARS-CoV-2 Main Protease Fragment-like Inhibitors with Antiviral Activity In Vitro. Journal of Chemical Information and Modeling. 63(9). 2866–2880. 12 indexed citations
7.
Waterman, David G., et al.. (2023). A standard data format for 3DED/MicroED. Structure. 31(12). 1510–1517.e1. 3 indexed citations
8.
Miura, Takashi, Tika R. Malla, David Owen, et al.. (2023). In vitro selection of macrocyclic peptide inhibitors containing cyclic γ2,4-amino acids targeting the SARS-CoV-2 main protease. Nature Chemistry. 15(7). 998–1005. 36 indexed citations
9.
Noske, G.D., Yun Song, R.S. Fernandes, et al.. (2023). An in-solution snapshot of SARS-COV-2 main protease maturation process and inhibition. Nature Communications. 14(1). 1545–1545. 15 indexed citations
10.
Chenthamarakshan, Vijil, Samuel C. Hoffman, David Owen, et al.. (2023). Accelerating drug target inhibitor discovery with a deep generative foundation model. Science Advances. 9(25). eadg7865–eadg7865. 22 indexed citations
11.
Wu, Haiyang, David Owen, & Nathalie Juge. (2023). Structure and function of microbial α-l-fucosidases: a mini review. Essays in Biochemistry. 67(3). 399–414. 20 indexed citations
12.
Gildea, Richard J., James Beilsten‐Edmands, Danny Axford, et al.. (2022). xia2.multiplex: a multi-crystal data-analysis pipeline. Acta Crystallographica Section D Structural Biology. 78(6). 752–769. 40 indexed citations
13.
Malla, Tika R., Anthony Tumber, Tobias John, et al.. (2021). Mass spectrometry reveals potential of β-lactams as SARS-CoV-2 Mpro inhibitors. Chemical Communications. 57(12). 1430–1433. 32 indexed citations
14.
Wu, Haiyang, Emmanuelle H. Crost, David Owen, et al.. (2021). The human gut symbiont Ruminococcus gnavus shows specificity to blood group A antigen during mucin glycan foraging: Implication for niche colonisation in the gastrointestinal tract. PLoS Biology. 19(12). e3001498–e3001498. 20 indexed citations
15.
Lukacik, Petra, David Owen, Gemma Harris, et al.. (2021). The structure of nontypeable Haemophilus influenzae SapA in a closed conformation reveals a constricted ligand-binding cavity and a novel RNA binding motif. PLoS ONE. 16(10). e0256070–e0256070. 7 indexed citations
16.
Zaidman, Daniel, Paul Gehrtz, D. Fearon, et al.. (2021). An automatic pipeline for the design of irreversible derivatives identifies a potent SARS-CoV-2 Mpro inhibitor. Cell chemical biology. 28(12). 1795–1806.e5. 52 indexed citations
17.
Bell, Andrew, Jason Brunt, Emmanuelle H. Crost, et al.. (2019). Elucidation of a sialic acid metabolism pathway in mucus-foraging Ruminococcus gnavus unravels mechanisms of bacterial adaptation to the gut. Nature Microbiology. 4(12). 2393–2404. 94 indexed citations
18.
Owen, David, Louise E. Tailford, Serena Monaco, et al.. (2017). Unravelling the specificity and mechanism of sialic acid recognition by the gut symbiont Ruminococcus gnavus. Nature Communications. 8(1). 2196–2196. 73 indexed citations
19.
Tailford, Louise E., David Owen, John Walshaw, et al.. (2015). Discovery of intramolecular trans-sialidases in human gut microbiota suggests novel mechanisms of mucosal adaptation. Nature Communications. 6(1). 7624–7624. 134 indexed citations
20.
Lackman, David B., et al.. (1959). A comparison of influenza in the Northwestern United States caused by A-prime and Asian influenza viruses.. PubMed. 50(2). 71–9. 1 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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