Daniel P. Maskell

857 total citations
18 papers, 613 citations indexed

About

Daniel P. Maskell is a scholar working on Molecular Biology, Epidemiology and Virology. According to data from OpenAlex, Daniel P. Maskell has authored 18 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Virology. Recurrent topics in Daniel P. Maskell's work include HIV Research and Treatment (7 papers), Bacteriophages and microbial interactions (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). Daniel P. Maskell is often cited by papers focused on HIV Research and Treatment (7 papers), Bacteriophages and microbial interactions (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). Daniel P. Maskell collaborates with scholars based in United Kingdom, United States and Germany. Daniel P. Maskell's co-authors include Peter Cherepanov, Xiaowen Hu, Martin R. Singleton, Erik Serrao, Alan Engelman, Alessandro Costa, Valerie E. Pye, Paul Lesbats, Dirk Lindemann and Ludovic Renault and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel P. Maskell

17 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Maskell United Kingdom 12 417 201 188 100 92 18 613
Amy J. Andrew United States 13 577 1.4× 432 2.1× 149 0.8× 268 2.7× 41 0.4× 18 1.1k
Juan Tan China 17 294 0.7× 227 1.1× 122 0.6× 192 1.9× 42 0.5× 67 939
Roland Iványi-Nagy France 14 403 1.0× 228 1.1× 172 0.9× 98 1.0× 44 0.5× 18 638
Lidia Vasiljeva United Kingdom 19 2.0k 4.7× 167 0.8× 348 1.9× 94 0.9× 172 1.9× 30 2.4k
Kelvin Eckert Germany 12 538 1.3× 115 0.6× 131 0.7× 47 0.5× 68 0.7× 15 829
Ahmad Khorchid Canada 16 809 1.9× 501 2.5× 311 1.7× 84 0.8× 49 0.5× 18 1.1k
M Rikkonen Finland 8 318 0.8× 101 0.5× 298 1.6× 59 0.6× 72 0.8× 8 709
Annemarie Frischauf Austria 6 350 0.8× 54 0.3× 209 1.1× 118 1.2× 110 1.2× 7 710
John Marlett United States 11 689 1.7× 216 1.1× 144 0.8× 94 0.9× 51 0.6× 13 869
Pamela C. Wagaman United States 13 266 0.6× 198 1.0× 100 0.5× 288 2.9× 43 0.5× 14 647

Countries citing papers authored by Daniel P. Maskell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Maskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Maskell. 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 Daniel P. Maskell. The network helps show where Daniel P. Maskell may publish in the future.

Co-authorship network of co-authors of Daniel P. Maskell

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

All Works

18 of 18 papers shown
1.
Brown, Emma, Daniella Lefteri, Amy E. Moran, et al.. (2024). Inhibitors of the small membrane (M) protein viroporin prevent Zika virus infection. eLife. 13. 6 indexed citations
2.
White, Joshua B., Daniel P. Maskell, Matthew J. Byrne, et al.. (2024). The cryoEM structure of the Hendra henipavirus nucleoprotein reveals insights into paramyxoviral nucleocapsid architectures. Scientific Reports. 14(1). 14099–14099.
3.
Cornell, Caitlin E., Rebecca F. Thompson, Amin Sadeghpour, et al.. (2023). High Resolution Membrane Structures within Hybrid Lipid‐Polymer Vesicles Revealed by Combining X‐Ray Scattering and Electron Microscopy. Small. 19(22). e2206267–e2206267. 11 indexed citations
4.
Heath, Richard, Daniel P. Maskell, Rebecca F. Thompson, et al.. (2023). Cryo-EM structure of SKP1-SKP2-CKS1 in complex with CDK2-cyclin A-p27KIP1. Scientific Reports. 13(1). 10718–10718. 7 indexed citations
5.
Azuma, Yusuke, Artur Biela, Simon Scheuring, et al.. (2022). Chemically induced protein cage assembly with programmable opening and cargo release. Science Advances. 8(1). eabj9424–eabj9424. 33 indexed citations
6.
Biswas, Dipsikha, Leonard A. Daly, Christopher R. Browning, et al.. (2022). Mechanism of glycogen synthase inactivation and interaction with glycogenin. Nature Communications. 13(1). 3372–3372. 27 indexed citations
7.
Maskell, Daniel P., Andrew Howe, Martin Harrow, et al.. (2021). Single Particle Cryo-Electron Microscopy: From Sample to Structure. Journal of Visualized Experiments. 2 indexed citations
8.
White, Joshua B., Daniel P. Maskell, Andrew Howe, et al.. (2021). Single Particle Cryo-Electron Microscopy: From Sample to Structure. Journal of Visualized Experiments. 5 indexed citations
9.
Patel, Nikesh, Sam Clark, Carlos P. Mata, et al.. (2021). In vitro functional analysis of gRNA sites regulating assembly of hepatitis B virus. Communications Biology. 4(1). 1407–1407. 7 indexed citations
10.
Byrne, Matthew J., M.G. Iadanza, Daniel P. Maskell, et al.. (2021). Cryo-EM structures of an insecticidal Bt toxin reveal its mechanism of action on the membrane. Nature Communications. 12(1). 2791–2791. 35 indexed citations
11.
Wilson, Marcus D., Ludovic Renault, Daniel P. Maskell, et al.. (2019). Retroviral integration into nucleosomes through DNA looping and sliding along the histone octamer. Nature Communications. 10(1). 4189–4189. 33 indexed citations
12.
Lesbats, Paul, Erik Serrao, Daniel P. Maskell, et al.. (2017). Structural basis for spumavirus GAG tethering to chromatin. Proceedings of the National Academy of Sciences. 114(21). 5509–5514. 43 indexed citations
13.
Patel, Nikesh, Simon J. White, Rebecca F. Thompson, et al.. (2017). HBV RNA pre-genome encodes specific motifs that mediate interactions with the viral core protein that promote nucleocapsid assembly. Nature Microbiology. 2(8). 17098–17098. 69 indexed citations
14.
Zhao, Xue Zhi, Steven J. Smith, Daniel P. Maskell, et al.. (2017). Structure-Guided Optimization of HIV Integrase Strand Transfer Inhibitors. Journal of Medicinal Chemistry. 60(17). 7315–7332. 40 indexed citations
15.
Ballandras-Colas, Allison, Daniel P. Maskell, Erik Serrao, et al.. (2017). A supramolecular assembly mediates lentiviral DNA integration. Science. 355(6320). 93–95. 76 indexed citations
16.
Zhao, Xue Zhi, Steven J. Smith, Daniel P. Maskell, et al.. (2016). HIV-1 Integrase Strand Transfer Inhibitors with Reduced Susceptibility to Drug Resistant Mutant Integrases. ACS Chemical Biology. 11(4). 1074–1081. 35 indexed citations
17.
Maskell, Daniel P., Ludovic Renault, Erik Serrao, et al.. (2015). Structural basis for retroviral integration into nucleosomes. Nature. 523(7560). 366–369. 115 indexed citations
18.
Maskell, Daniel P., Xiaowen Hu, & Martin R. Singleton. (2010). Molecular architecture and assembly of the yeast kinetochore MIND complex. The Journal of Cell Biology. 190(5). 823–834. 69 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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