Cameron Mura

1.9k total citations
41 papers, 1.2k citations indexed

About

Cameron Mura is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Cameron Mura has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Materials Chemistry. Recurrent topics in Cameron Mura's work include RNA and protein synthesis mechanisms (11 papers), Protein Structure and Dynamics (8 papers) and Genetics, Bioinformatics, and Biomedical Research (7 papers). Cameron Mura is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), Protein Structure and Dynamics (8 papers) and Genetics, Bioinformatics, and Biomedical Research (7 papers). Cameron Mura collaborates with scholars based in United States, Germany and France. Cameron Mura's co-authors include James D. Tang, Kyle J. Lampe, David Eisenberg, M.R. Sawaya, Philip E. Bourne, Jennifer Patterson, Charles E. McAnany, Duilio Cascio, J. Andrew McCammon and Robert Preißner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Cameron Mura

41 papers receiving 1.2k citations

Peers

Cameron Mura

GENET

BIOMA

Sung Jean Park South Korea

Mark P. Pereira Canada

Andrew Lee United States

Karl E. Griswold United States

Charles H. Jones United States

Nick Geukens Belgium

Liping Liu China

Jeong‐Yong Suh South Korea

Ruei‐Min Lu Taiwan

Siddharth Patel United States

Sung Jean Park South Korea

Cameron Mura

757 ×1.0

151 ×0.8

GENET

165 ×0.9

BIOMA

127 ×1.0

171 ×1.5

Citations per year, relative to Cameron Mura Cameron Mura (= 1×) peers Sung Jean Park

Countries citing papers authored by Cameron Mura

Since Specialization

Citations

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

Fields of papers citing papers by Cameron Mura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cameron Mura

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Draizen, Eli J., Stella Veretnik, Cameron Mura, & Philip E. Bourne. (2024). Deep generative models of protein structure uncover distant relationships across a continuous fold space. Nature Communications. 15(1). 8094–8094. 6 indexed citations

Draizen, Eli J., et al.. (2024). Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. BMC Bioinformatics. 25(1). 11–11. 1 indexed citations

Xie, Li, Shuo Zhang, Di He, et al.. (2023). End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins. PLoS Computational Biology. 19(1). e1010851–e1010851. 16 indexed citations

Hansmann, Yves, Massimo Lodi, Cameron Mura, et al.. (2022). 3D-printed simulator for nasopharyngeal swab collection for COVID-19. Infectious Diseases Now. 52(3). 138–144. 1 indexed citations

Chen, Qiaofeng, Horacio Pérez‐Sánchez, Flaminia Coluzzi, et al.. (2020). Computational Prediction of Potential Inhibitors of the Main Protease of SARS-CoV-2. Frontiers in Chemistry. 8. 590263–590263. 24 indexed citations

Seeland, Ute, Flaminia Coluzzi, Maurizio Simmaco, et al.. (2020). Evidence for treatment with estradiol for women with SARS-CoV-2 infection. BMC Medicine. 18(1). 369–369. 99 indexed citations

Chen, Ruoyan, et al.. (2019). Machine Learning for Classification of Protein Helix Capping Motifs. 1–6. 1 indexed citations

Fletcher, Anthony C. & Cameron Mura. (2019). Ten quick tips for using a Raspberry Pi. PLoS Computational Biology. 15(5). e1006959–e1006959. 12 indexed citations

Youkharibache, Philippe, et al.. (2018). The Small β-Barrel Domain: A Survey-Based Structural Analysis. Structure. 27(1). 6–26. 36 indexed citations

10.

Mura, Cameron, Eli J. Draizen, & Philip E. Bourne. (2018). Structural biology meets data science: does anything change?. Current Opinion in Structural Biology. 52. 95–102. 6 indexed citations

11.

Patterson, Jennifer, et al.. (2017). Crystal structure and RNA-binding properties of an Hfq homolog from the deep-branching Aquificae: conservation of the lateral RNA-binding mode. Acta Crystallographica Section D Structural Biology. 73(4). 294–315. 15 indexed citations

12.

Panecka-Hofman, Joanna, Cameron Mura, & Joanna Trylska. (2014). Interplay of the Bacterial Ribosomal A-Site, S12 Protein Mutations and Paromomycin Binding: A Molecular Dynamics Study. PLoS ONE. 9(11). e111811–e111811. 29 indexed citations

13.

Patterson, Jennifer & Cameron Mura. (2013). Rapid Colorimetric Assays to Qualitatively Distinguish RNA and DNA in Biomolecular Samples. Journal of Visualized Experiments. e50225–e50225. 15 indexed citations

14.

Mura, Cameron, et al.. (2010). An Introduction to Biomolecular Graphics. PLoS Computational Biology. 6(8). e1000918–e1000918. 44 indexed citations

15.

Cieślik, Marcin & Cameron Mura. (2009). PaPy: Parallel and distributed data-processing pipelines in Python. Proceedings of the Python in Science Conferences. 41–47. 1 indexed citations

16.

Mura, Cameron & J. Andrew McCammon. (2008). Molecular dynamics of a κB DNA element: base flipping via cross-strand intercalative stacking in a microsecond-scale simulation. Nucleic Acids Research. 36(15). 4941–4955. 44 indexed citations

17.

Arluison, Véronique, Cameron Mura, J. Liquier, et al.. (2005). Three-dimensional Structures of Fibrillar Sm Proteins: Hfq and Other Sm-like Proteins. Journal of Molecular Biology. 356(1). 86–96. 46 indexed citations

18.

Mura, Cameron, et al.. (2003). The oligomerization and ligand‐binding properties of Sm‐like archaeal proteins (SmAPs). Protein Science. 12(4). 832–847. 43 indexed citations

19.

Mura, Cameron, Jonathan E. Katz, Steven Clarke, & David Eisenberg. (2003). Structure and Function of an Archaeal Homolog of Survival Protein E (SurEα): An Acid Phosphatase with Purine Nucleotide Specificity. Journal of Molecular Biology. 326(5). 1559–1575. 25 indexed citations

20.

Wang, Shuishu, Cameron Mura, M.R. Sawaya, Duilio Cascio, & David Eisenberg. (2002). Structure of a Nudix protein fromPyrobaculum aerophilumreveals a dimer with two intersubunit β-sheets. Acta Crystallographica Section D Biological Crystallography. 58(4). 571–578. 15 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.

Explore authors with similar magnitude of impact