Cameron M. Chow

2.3k total citations · 2 hit papers
9 papers, 759 citations indexed

About

Cameron M. Chow is a scholar working on Molecular Biology, Materials Chemistry and Ecology. According to data from OpenAlex, Cameron M. Chow has authored 9 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Ecology. Recurrent topics in Cameron M. Chow's work include RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (5 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Cameron M. Chow is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (5 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Cameron M. Chow collaborates with scholars based in United States, South Korea and United Kingdom. Cameron M. Chow's co-authors include David Baker, Asim K. Bera, Lauren Carter, Alex Kang, Frank DiMaio, Christoffer Norn, Sergey Ovchinnikov, Ivan Anishchenko, Jingzhou Hao and G.T. Montelione and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Cameron M. Chow

9 papers receiving 748 citations

Hit Papers

De novo protein design by deep network hallucination 2021 2026 2022 2024 2021 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cameron M. Chow United States 8 629 123 102 65 41 9 759
Basile I. M. Wicky United States 11 644 1.0× 151 1.2× 81 0.8× 40 0.6× 26 0.6× 16 815
Alexis Courbet United States 10 418 0.7× 67 0.5× 123 1.2× 34 0.5× 25 0.6× 14 570
Rie Koga Japan 13 691 1.1× 248 2.0× 96 0.9× 75 1.2× 44 1.1× 22 1.0k
Anastassia A. Vorobieva Belgium 12 424 0.7× 115 0.9× 77 0.8× 35 0.5× 18 0.4× 18 547
Hsien‐Wei Yeh United States 11 697 1.1× 67 0.5× 282 2.8× 46 0.7× 27 0.7× 17 876
Brian Coventry United States 10 713 1.1× 105 0.9× 87 0.9× 145 2.2× 133 3.2× 16 1.0k
Mark D. Simon United States 14 802 1.3× 60 0.5× 187 1.8× 143 2.2× 32 0.8× 16 997
Yasser B. Ruiz‐Blanco Germany 15 470 0.7× 57 0.5× 62 0.6× 38 0.6× 106 2.6× 31 672
Marie Valerio‐Lepiniec France 13 301 0.5× 85 0.7× 31 0.3× 76 1.2× 21 0.5× 21 409
Jorgen Nelson United States 5 401 0.6× 77 0.6× 39 0.4× 104 1.6× 47 1.1× 5 501

Countries citing papers authored by Cameron M. Chow

Since Specialization
Citations

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

Fields of papers citing papers by Cameron M. Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cameron M. Chow

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

All Works

9 of 9 papers shown
1.
Kibler, Ryan D., Sangmin Lee, Basile I. M. Wicky, et al.. (2024). Design of pseudosymmetric protein hetero-oligomers. Nature Communications. 15(1). 10684–10684. 5 indexed citations
2.
Kim, David E., Davin R. Jensen, David Feldman, et al.. (2023). De novo design of small beta barrel proteins. Proceedings of the National Academy of Sciences. 120(11). e2207974120–e2207974120. 21 indexed citations
3.
Vorobieva, Anastassia A., Paul White, Binyong Liang, et al.. (2021). De novo design of transmembrane β barrels. Science. 371(6531). 86 indexed citations
4.
Quijano‐Rubio, Alfredo, Hsien‐Wei Yeh, Hansol Lee, et al.. (2021). De novo design of modular and tunable protein biosensors. Nature. 591(7850). 482–487. 170 indexed citations breakdown →
5.
Doyle, Lindsey, Lauren Gagnon, Min Yen Lee, et al.. (2021). Incorporation of sensing modalities into de novo designed fluorescence-activating proteins. Nature Communications. 12(1). 856–856. 25 indexed citations
6.
Anishchenko, Ivan, Samuel J. Pellock, Tamuka M. Chidyausiku, et al.. (2021). De novo protein design by deep network hallucination. Nature. 600(7889). 547–552. 334 indexed citations breakdown →
7.
Hsia, Yang, Rubul Mout, William Sheffler, et al.. (2021). Design of multi-scale protein complexes by hierarchical building block fusion. Nature Communications. 12(1). 2294–2294. 42 indexed citations
8.
Basanta, Benjamin, Matthew J. Bick, Asim K. Bera, et al.. (2020). An enumerative algorithm for de novo design of proteins with diverse pocket structures. Proceedings of the National Academy of Sciences. 117(36). 22135–22145. 53 indexed citations
9.
Brunette, TJ, Matthew J. Bick, Jesse M. Hansen, et al.. (2020). Modular repeat protein sculpting using rigid helical junctions. Proceedings of the National Academy of Sciences. 117(16). 8870–8875. 23 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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