C. Keith Cassidy

1.5k total citations
24 papers, 948 citations indexed

About

C. Keith Cassidy is a scholar working on Molecular Biology, Genetics and Structural Biology. According to data from OpenAlex, C. Keith Cassidy has authored 24 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Structural Biology. Recurrent topics in C. Keith Cassidy's work include Bacterial Genetics and Biotechnology (12 papers), RNA and protein synthesis mechanisms (11 papers) and Advanced Electron Microscopy Techniques and Applications (8 papers). C. Keith Cassidy is often cited by papers focused on Bacterial Genetics and Biotechnology (12 papers), RNA and protein synthesis mechanisms (11 papers) and Advanced Electron Microscopy Techniques and Applications (8 papers). C. Keith Cassidy collaborates with scholars based in United Kingdom, United States and Netherlands. C. Keith Cassidy's co-authors include Klaus Schulten, Juan R. Perilla, Rafael C. Bernardi, Till Rudack, Boon Chong Goh, Phillip J. Stansfeld, Hang Yu, Bo Liu, Zhe Wu and Peijun Zhang and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

C. Keith Cassidy

23 papers receiving 944 citations

Peers

C. Keith Cassidy

GENET

ECOLO

Tsutomu Matsui United States

Hariprasad Venugopal Australia

Ramona Duman United Kingdom

Muyuan Chen United States

Andreas F.‐P. Sonnen Germany

Benjamin A. Barad United States

Rafael Fernández-Leiro Spain

Oleg Sitsel Germany

Vincent L. G. Postis United Kingdom

Michael D. Purdy United States

Tsutomu Matsui United States

C. Keith Cassidy

859 ×1.3

117 ×0.7

GENET

121 ×0.9

113 ×0.9

ECOLO

37 ×0.4

Citations per year, relative to C. Keith Cassidy C. Keith Cassidy (= 1×) peers Tsutomu Matsui

Countries citing papers authored by C. Keith Cassidy

Since Specialization

Citations

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

Fields of papers citing papers by C. Keith Cassidy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Keith Cassidy

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

All Works

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20 of 20 papers shown

Berndsen, Zachary T. & C. Keith Cassidy. (2024). The structure of apolipoprotein B100 from human low-density lipoprotein. Nature. 638(8051). 836–843. 11 indexed citations

Kügelgen, Andriko von, C. Keith Cassidy, Christopher Batters, et al.. (2024). Membraneless channels sieve cations in ammonia-oxidizing marine archaea. Nature. 630(8015). 230–236. 15 indexed citations

Muok, Alise R., et al.. (2023). A new class of protein sensor links spirochete pleomorphism, persistence, and chemotaxis. mBio. 14(5). e0159823–e0159823.

Ansell, T. Bertie, Wanling Song, Loïc Carrique, et al.. (2023). LipIDens: simulation assisted interpretation of lipid densities in cryo-EM structures of membrane proteins. Nature Communications. 14(1). 7774–7774. 16 indexed citations

Cassidy, C. Keith, Zhuan Qin, Khoosheh K. Gosink, et al.. (2023). Structure of the native chemotaxis core signaling unit from phage E-protein lysed E. coli cells. mBio. 14(5). e0079323–e0079323. 7 indexed citations

Piñas, Germán E., et al.. (2022). Hexameric rings of the scaffolding protein CheW enhance response sensitivity and cooperativity in Escherichia coli chemoreceptor arrays. Science Signaling. 15(718). eabj1737–eabj1737. 16 indexed citations

Cassidy, C. Keith, et al.. (2022). Mechanisms of E. coli chemotaxis signaling pathways visualized using cryoET and computational approaches. Biochemical Society Transactions. 50(6). 1595–1605. 5 indexed citations

Zhu, Yanan, C. Keith Cassidy, Matthew C. Spink, et al.. (2022). Structure and activity of particulate methane monooxygenase arrays in methanotrophs. Nature Communications. 13(1). 5221–5221. 29 indexed citations

Renault, Ludovic, C. Keith Cassidy, Luiza Mendonça, et al.. (2022). UVC inactivation of pathogenic samples suitable for cryo-EM analysis. Communications Biology. 5(1). 29–29. 6 indexed citations

10.

Costa, Ana Rita, C. Keith Cassidy, Agnieszka Łątka, et al.. (2022). High-resolution reconstruction of a Jumbo-bacteriophage infecting capsulated bacteria using hyperbranched tail fibers. Nature Communications. 13(1). 7241–7241. 17 indexed citations

11.

Perkins, Arden, Tilman Schirmer, O. Maduka Ogba, et al.. (2021). A Bacterial Inflammation Sensor Regulates c-di-GMP Signaling, Adhesion, and Biofilm Formation. mBio. 12(3). e0017321–e0017321. 13 indexed citations

12.

Cassidy, C. Keith, et al.. (2020). The Unconventional Cytoplasmic Sensing Mechanism for Ethanol Chemotaxis in Bacillus subtilis. mBio. 11(5). 19 indexed citations

13.

Cassidy, C. Keith, Benjamin A. Himes, Dapeng Sun, et al.. (2020). Structure and dynamics of the E. coli chemotaxis core signaling complex by cryo-electron tomography and molecular simulations. Communications Biology. 3(1). 24–24. 35 indexed citations

14.

Fiorentino, Francesco, Xingyu Qiu, Robin A. Corey, et al.. (2020). Dynamics of an LPS translocon induced by substrate and an antimicrobial peptide. Nature Chemical Biology. 17(2). 187–195. 52 indexed citations

15.

Burt, Alister, C. Keith Cassidy, Peter Ames, et al.. (2020). Complete structure of the chemosensory array core signalling unit in an E. coli minicell strain. Nature Communications. 11(1). 743–743. 49 indexed citations

16.

Yang, Wen, C. Keith Cassidy, Peter Ames, et al.. (2019). In Situ Conformational Changes of the Escherichia coli Serine Chemoreceptor in Different Signaling States. mBio. 10(4). 24 indexed citations

17.

Cassidy, C. Keith, Benjamin A. Himes, Zaida Luthey‐Schulten, & Peijun Zhang. (2017). CryoEM-based hybrid modeling approaches for structure determination. Current Opinion in Microbiology. 43. 14–23. 17 indexed citations

18.

Cassidy, C. Keith, Benjamin A. Himes, Frances Joan D. Alvarez, et al.. (2015). CryoEM and computer simulations reveal a novel kinase conformational switch in bacterial chemotaxis signaling. eLife. 4. 82 indexed citations

19.

Perilla, Juan R., Boon Chong Goh, C. Keith Cassidy, et al.. (2015). Molecular dynamics simulations of large macromolecular complexes. Current Opinion in Structural Biology. 31. 64–74. 309 indexed citations

20.

Fraiberg, Milana, C. Keith Cassidy, Alexandra Gabashvili, et al.. (2014). CheY's acetylation sites responsible for generating clockwise flagellar rotation in E scherichia coli. Molecular Microbiology. 95(2). 231–244. 28 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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