TJ Brunette

2.7k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

TJ Brunette is a scholar working on Molecular Biology, Materials Chemistry and Ecology. According to data from OpenAlex, TJ Brunette has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Materials Chemistry and 3 papers in Ecology. Recurrent topics in TJ Brunette's work include Protein Structure and Dynamics (12 papers), RNA and protein synthesis mechanisms (9 papers) and Enzyme Structure and Function (6 papers). TJ Brunette is often cited by papers focused on Protein Structure and Dynamics (12 papers), RNA and protein synthesis mechanisms (9 papers) and Enzyme Structure and Function (6 papers). TJ Brunette collaborates with scholars based in United States, United Kingdom and South Africa. TJ Brunette's co-authors include David Baker, Frank DiMaio, Yifan Song, David E. Kim, Chris Miles, James Thompson, Ray Yu‐Ruei Wang, Fabio Parmeggiani, Oliver Brock and Damian C. Ekiert and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

TJ Brunette

17 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Resolution Comparative Modeling with RosettaCM

2013 813 citations Yifan Song, Frank DiMaio et al. Structure profile →

Peers

TJ Brunette

MB

MC

ECOLO

GENET

CB

Jeong Seok Oh South Korea

Takashi Ishida Japan

Bryan S. Der United States

Gevorg Grigoryan United States

Jean-François Gibrat France

Ivan Anishchenko United States

John A. Heyman United States

P. Douglas Renfrew United States

Minkyung Baek United States

Ian Walsh Singapore

Jeong Seok Oh South Korea

TJ Brunette

1.6k ×1.4

MB

508 ×1.5

MC

105 ×0.8

ECOLO

136 ×1.2

GENET

173 ×1.6

CB

Citations per year, relative to TJ Brunette TJ Brunette (= 1×) peers Jeong Seok Oh

Countries citing papers authored by TJ Brunette

Since Specialization

Citations

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

Fields of papers citing papers by TJ Brunette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of TJ Brunette

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

All Works

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17 of 17 papers shown

1.

Cortade, Dana L., Henning Redestig, David A. Estell, et al.. (2025). Results of the Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design. Proteins Structure Function and Bioinformatics. 93(11). 2005–2014. 2 indexed citations

2.

Jiang, Hanlun, Kevin M. Jude, Jorge A. Fallas, et al.. (2024). De novo design of buttressed loops for sculpting protein functions. Nature Chemical Biology. 20(8). 974–980. 14 indexed citations

3.

Bethel, Neville P., Andrew J. Borst, Fabio Parmeggiani, et al.. (2023). Precisely patterned nanofibres made from extendable protein multiplexes. Nature Chemistry. 15(12). 1664–1671. 17 indexed citations

4.

Chang, Ya‐Ting, Andrew Norris, Scott E. Boyken, et al.. (2022). De novo design of obligate ABC-type heterotrimeric proteins. Nature Structural & Molecular Biology. 29(12). 1266–1276. 18 indexed citations

5.

Hicks, Derrick R., Michelle DeWitt, Brian Coventry, et al.. (2022). De novo design of protein homodimers containing tunable symmetric protein pockets. Proceedings of the National Academy of Sciences. 119(30). e2113400119–e2113400119. 9 indexed citations

6.

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

7.

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

8.

Foight, Glenna, Zhizhi Wang, Per Greisen, et al.. (2019). Multi-input chemical control of protein dimerization for programming graded cellular responses. Nature Biotechnology. 37(10). 1209–1216. 57 indexed citations

9.

Chen, Zibo, Scott E. Boyken, Mengxuan Jia, et al.. (2018). Programmable design of orthogonal protein heterodimers. Nature. 565(7737). 106–111. 128 indexed citations

10.

Brunette, TJ, et al.. (2017). Elfin: An algorithm for the computational design of custom three-dimensional structures from modular repeat protein building blocks. Journal of Structural Biology. 201(2). 100–107. 7 indexed citations

11.

Fallas, Jorge A., George Ueda, William Sheffler, et al.. (2016). Computational design of self-assembling cyclic protein homo-oligomers. Nature Chemistry. 9(4). 353–360. 93 indexed citations

12.

Brunette, TJ, Fabio Parmeggiani, Po‐Ssu Huang, et al.. (2015). Exploring the repeat protein universe through computational protein design. Nature. 528(7583). 580–584. 175 indexed citations

13.

Thyme, Summer B., Yifan Song, TJ Brunette, et al.. (2014). Massively parallel determination and modeling of endonuclease substrate specificity. Nucleic Acids Research. 42(22). 13839–13852. 8 indexed citations

14.

Song, Yifan, Frank DiMaio, Ray Yu‐Ruei Wang, et al.. (2013). High-Resolution Comparative Modeling with RosettaCM. Structure. 21(10). 1735–1742. 813 indexed citations breakdown →

15.

Brunette, TJ & Oliver Brock. (2008). Guiding conformation space search with an all‐atom energy potential. Proteins Structure Function and Bioinformatics. 73(4). 958–972. 35 indexed citations

16.

Brunette, TJ & Oliver Brock. (2005). Improving protein structure prediction with model-based search. Computer applications in the biosciences. 21(Suppl 1). i66–i74. 20 indexed citations

17.

Brunette, TJ, et al.. (2003). Coordinated teams of reactive mobile platforms. 1. 299–304. 45 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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