Joshua C. Bufton

607 total citations
17 papers, 365 citations indexed

About

Joshua C. Bufton is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Joshua C. Bufton has authored 17 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Joshua C. Bufton's work include RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Ubiquitin and proteasome pathways (3 papers). Joshua C. Bufton is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Ubiquitin and proteasome pathways (3 papers). Joshua C. Bufton collaborates with scholars based in United Kingdom, United States and France. Joshua C. Bufton's co-authors include Daniel M. Pinkas, Alex N. Bullock, Christiane Schaffitzel, Etienne Raimondeau, C. Sanvitale, James Doutch, F.J. Sorrell, R. Chalk, Nicolae Solcan and Gregory D. Cuny and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Biochemical Journal.

In The Last Decade

Joshua C. Bufton

17 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua C. Bufton United Kingdom 10 266 67 60 58 44 17 365
Pinar Ormanoglu United States 10 334 1.3× 63 0.9× 116 1.9× 54 0.9× 33 0.8× 17 473
Samuel C. Griffiths United Kingdom 8 224 0.8× 31 0.5× 43 0.7× 57 1.0× 35 0.8× 14 330
Heta Patel United States 12 368 1.4× 84 1.3× 37 0.6× 57 1.0× 47 1.1× 17 510
Lijuan Feng United States 11 439 1.7× 30 0.4× 39 0.7× 50 0.9× 61 1.4× 16 538
Matthias Hinterndorfer Austria 7 395 1.5× 60 0.9× 95 1.6× 28 0.5× 35 0.8× 11 480
Hae-Kyung Lee South Korea 10 246 0.9× 69 1.0× 64 1.1× 21 0.4× 43 1.0× 14 348
Samantha D. Praktiknjo Germany 7 265 1.0× 75 1.1× 45 0.8× 32 0.6× 61 1.4× 11 364
Darui Xu United States 7 541 2.0× 37 0.6× 56 0.9× 35 0.6× 33 0.8× 10 624
Hui Theng Gan Singapore 10 343 1.3× 53 0.8× 48 0.8× 52 0.9× 31 0.7× 17 464

Countries citing papers authored by Joshua C. Bufton

Since Specialization
Citations

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

Fields of papers citing papers by Joshua C. Bufton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua C. Bufton. 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 Joshua C. Bufton. The network helps show where Joshua C. Bufton may publish in the future.

Co-authorship network of co-authors of Joshua C. Bufton

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua C. Bufton. A scholar is included among the top collaborators of Joshua C. Bufton 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 Joshua C. Bufton. Joshua C. Bufton 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.
Deniaud, Aurélien, et al.. (2024). Sample Preparation for Electron Cryo-Microscopy of Macromolecular Machines. Advances in experimental medicine and biology. 3234. 173–190. 1 indexed citations
2.
Miller, Kerry A., David A. Cruz Walma, Daniel M. Pinkas, et al.. (2024). BTB domain mutations perturbing KCTD15 oligomerisation cause a distinctive frontonasal dysplasia syndrome. Journal of Medical Genetics. 61(5). 490–501. 5 indexed citations
3.
Pinkas, Daniel M., et al.. (2024). A BTB extension and ion-binding domain contribute to the pentameric structure and TFAP2A binding of KCTD1. Structure. 32(10). 1586–1593.e4. 1 indexed citations
4.
Toelzer, Christine, Sathish K.N. Yadav, Ufuk Borucu, et al.. (2024). Engineering the ADDobody protein scaffold for generation of high-avidity ADDomer super-binders. Structure. 32(3). 342–351.e6. 1 indexed citations
5.
6.
Berger, Benedict‐Tilman, Martin Schröder, Deep Chatterjee, et al.. (2021). Development of a Selective Dual Discoidin Domain Receptor (DDR)/p38 Kinase Chemical Probe. Journal of Medicinal Chemistry. 64(18). 13451–13474. 5 indexed citations
7.
Sari, Duygu, Joshua C. Bufton, Kapil Gupta, et al.. (2021). VLP‐factory™ and ADDomer©: Self‐assembling Virus‐Like Particle (VLP) Technologies for Multiple Protein and Peptide Epitope Display. Current Protocols. 1(3). e55–e55. 9 indexed citations
8.
Powers, Kyle T., Sathish K.N. Yadav, Beate Amthor, et al.. (2021). Blasticidin S inhibits mammalian translation and enhances production of protein encoded by nonsense mRNA. Nucleic Acids Research. 49(13). 7665–7679. 11 indexed citations
9.
Suebsuwong, Chalada, Bing Dai, Daniel M. Pinkas, et al.. (2020). Receptor-interacting protein kinase 2 (RIPK2) and nucleotide-binding oligomerization domain (NOD) cell signaling inhibitors based on a 3,5-diphenyl-2-aminopyridine scaffold. European Journal of Medicinal Chemistry. 200. 112417–112417. 17 indexed citations
10.
Bufton, Joshua C., Frédéric Garzoni, Émilie Vassal‐Stermann, et al.. (2019). Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display. Science Advances. 5(9). eaaw2853–eaaw2853. 26 indexed citations
11.
Hrdinka, Matouš, Lisa Schlicher, Bing Dai, et al.. (2018). Small molecule inhibitors reveal an indispensable scaffolding role of RIPK 2 in NOD 2 signaling. The EMBO Journal. 37(17). 48 indexed citations
12.
Miller, Kerry A., et al.. (2018). A dominant-negative mutation in the BTB domain of KCTD15 in a family with frontal lipoma, congenital heart disease and cutis aplasia of the scalp defines a novel syndrome. European Journal of Human Genetics. 26. 233–234. 1 indexed citations
13.
Fulcher, Luke J., Polyxeni Bozatzi, Kevin Z. L. Wu, et al.. (2018). The DUF1669 domain of FAM83 family proteins anchor casein kinase 1 isoforms. Science Signaling. 11(531). 87 indexed citations
14.
Suebsuwong, Chalada, Daniel M. Pinkas, Soumya S. Ray, et al.. (2018). Activation loop targeting strategy for design of receptor-interacting protein kinase 2 (RIPK2) inhibitors. Bioorganic & Medicinal Chemistry Letters. 28(4). 577–583. 18 indexed citations
15.
Raimondeau, Etienne, Joshua C. Bufton, & Christiane Schaffitzel. (2018). New insights into the interplay between the translation machinery and nonsense-mediated mRNA decay factors. Biochemical Society Transactions. 46(3). 503–512. 33 indexed citations
16.
Bufton, Joshua C., Darren M. Gowers, Andrew R. Pickford, et al.. (2017). Inhibition of homologous phosphorolytic ribonucleases by citrate may represent an evolutionarily conserved communicative link between RNA degradation and central metabolism. Nucleic Acids Research. 45(8). 4655–4666. 19 indexed citations
17.
Pinkas, Daniel M., C. Sanvitale, Joshua C. Bufton, et al.. (2017). Structural complexity in the KCTD family of Cullin3-dependent E3 ubiquitin ligases. Biochemical Journal. 474(22). 3747–3761. 71 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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