Claire N. Bedbrook

1.8k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Claire N. Bedbrook is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Claire N. Bedbrook has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Biomedical Engineering. Recurrent topics in Claire N. Bedbrook's work include Photoreceptor and optogenetics research (7 papers), Molecular Communication and Nanonetworks (4 papers) and Fish biology, ecology, and behavior (4 papers). Claire N. Bedbrook is often cited by papers focused on Photoreceptor and optogenetics research (7 papers), Molecular Communication and Nanonetworks (4 papers) and Fish biology, ecology, and behavior (4 papers). Claire N. Bedbrook collaborates with scholars based in United States and Russia. Claire N. Bedbrook's co-authors include Frances H. Arnold, Viviana Gradinaru, Kevin Yang, Zachary Wu, Benjamin E. Deverman, Paul W. Sternberg, Clayton J. Radke, Austin J. Rice, Ravi D. Nath and J. Elliott Robinson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Claire N. Bedbrook

18 papers receiving 1.1k citations

Hit Papers

Learned protein embeddings for machine learning 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claire N. Bedbrook United States 15 631 330 208 177 102 19 1.1k
Sarit Anava Israel 15 535 0.8× 221 0.7× 101 0.5× 88 0.5× 159 1.6× 21 1.0k
Kiwamu Takemoto Japan 16 905 1.4× 413 1.3× 88 0.4× 125 0.7× 60 0.6× 29 1.5k
Shangbang Gao China 21 523 0.8× 486 1.5× 201 1.0× 62 0.4× 37 0.4× 60 1.4k
Denise M. Ferkey United States 17 918 1.5× 395 1.2× 312 1.5× 38 0.2× 84 0.8× 27 1.8k
Thomas Frank Germany 16 523 0.8× 445 1.3× 174 0.8× 534 3.0× 39 0.4× 26 1.6k
Haruki Takeuchi Japan 15 437 0.7× 640 1.9× 131 0.6× 77 0.4× 69 0.7× 43 1.4k
Nina Vogt United States 14 506 0.8× 437 1.3× 65 0.3× 50 0.3× 128 1.3× 58 1.1k
Pauline Spéder France 17 676 1.1× 314 1.0× 42 0.2× 148 0.8× 146 1.4× 22 1.1k
Elise F. Stanley Canada 18 965 1.5× 656 2.0× 47 0.2× 57 0.3× 56 0.5× 34 1.6k
Tyler Cutforth United States 24 862 1.4× 1.2k 3.6× 196 0.9× 184 1.0× 185 1.8× 30 2.4k

Countries citing papers authored by Claire N. Bedbrook

Since Specialization
Citations

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

Fields of papers citing papers by Claire N. Bedbrook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire N. Bedbrook. 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 Claire N. Bedbrook. The network helps show where Claire N. Bedbrook may publish in the future.

Co-authorship network of co-authors of Claire N. Bedbrook

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

All Works

19 of 19 papers shown
1.
Bedbrook, Claire N., et al.. (2026). Lifelong behavioral screen reveals an architecture of vertebrate aging. Science. 391(6790). eaea9795–eaea9795.
2.
Bedbrook, Claire N., et al.. (2023). Rapid and precise genome engineering in a naturally short-lived vertebrate. eLife. 12. 15 indexed citations
3.
Bedbrook, Claire N., et al.. (2023). Husbandry of the African Turquoise KillifishNothobranchius furzeri. Cold Spring Harbor Protocols. 2023(6). pdb.prot107738–pdb.prot107738. 7 indexed citations
4.
Bedbrook, Claire N., et al.. (2023). Life Span Assessment in the African Turquoise KillifishNothobranchius furzeri. Cold Spring Harbor Protocols. 2023(6). pdb.prot107917–pdb.prot107917. 2 indexed citations
6.
Bedbrook, Claire N., Kevin Yang, J. Elliott Robinson, et al.. (2019). Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics. Nature Methods. 16(11). 1176–1184. 136 indexed citations
7.
Bedbrook, Claire N., Benjamin E. Deverman, & Viviana Gradinaru. (2018). Viral Strategies for Targeting the Central and Peripheral Nervous Systems. Annual Review of Neuroscience. 41(1). 323–348. 126 indexed citations
8.
Yang, Kevin, Zachary Wu, Claire N. Bedbrook, & Frances H. Arnold. (2018). Learned protein embeddings for machine learning. Bioinformatics. 34(15). 2642–2648. 202 indexed citations breakdown →
9.
Bedbrook, Claire N., Kevin Yang, Austin J. Rice, Viviana Gradinaru, & Frances H. Arnold. (2017). Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization. PLoS Computational Biology. 13(10). e1005786–e1005786. 82 indexed citations
10.
Nath, Ravi D., Claire N. Bedbrook, Michael J. Abrams, et al.. (2017). The Jellyfish Cassiopea Exhibits a Sleep-like State. Current Biology. 27(19). 2984–2990.e3. 151 indexed citations
11.
Bedbrook, Claire N., Austin J. Rice, Kevin Yang, et al.. (2017). Structure-guided SCHEMA recombination generates diverse chimeric channelrhodopsins. Proceedings of the National Academy of Sciences. 114(13). E2624–E2633. 46 indexed citations
12.
Herwig, Lukas, Austin J. Rice, Claire N. Bedbrook, et al.. (2017). Directed Evolution of a Bright Near-Infrared Fluorescent Rhodopsin Using a Synthetic Chromophore. Cell chemical biology. 24(3). 415–425. 51 indexed citations
13.
McIsaac, R. Scott, Claire N. Bedbrook, & Frances H. Arnold. (2015). Recent advances in engineering microbial rhodopsins for optogenetics. Current Opinion in Structural Biology. 33. 8–15. 41 indexed citations
14.
Bedbrook, Claire N., Mihoko Kato, Sripriya Ravindra Kumar, et al.. (2015). Genetically Encoded Spy Peptide Fusion System to Detect Plasma Membrane-Localized Proteins In Vivo. Chemistry & Biology. 22(8). 1108–1121. 51 indexed citations
15.
Flytzanis, Nicholas C., Claire N. Bedbrook, Hui Chiu, et al.. (2014). Archaerhodopsin variants with enhanced voltage-sensitive fluorescence in mammalian and Caenorhabditis elegans neurons. Nature Communications. 5(1). 4894–4894. 107 indexed citations
16.
Flytzanis, Nicholas C., Claire N. Bedbrook, & Viviana Gradinaru. (2014). Neuronal activity sensing and modulation with Archers. SPIE Newsroom. 1 indexed citations
17.
Smith, Matthew A., Claire N. Bedbrook, Timothy Wu, & Frances H. Arnold. (2013). Hypocrea jecorina Cellobiohydrolase I Stabilizing Mutations Identified Using Noncontiguous Recombination. ACS Synthetic Biology. 2(12). 690–696. 14 indexed citations
18.
Bedbrook, Claire N., et al.. (2012). Cellulase Adsorption and Reactivity on a Cellulose Surface from Flow Ellipsometry. Industrial & Engineering Chemistry Research. 51(35). 11389–11400. 48 indexed citations
19.
Bedbrook, Claire N., et al.. (2012). Competitive Sorption Kinetics of Inhibited Endo- and Exoglucanases on a Model Cellulose Substrate. Langmuir. 28(41). 14598–14608. 38 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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