Elizabeth Brunk

3.4k total citations · 1 hit paper
37 papers, 1.7k citations indexed

About

Elizabeth Brunk is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Elizabeth Brunk has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Elizabeth Brunk's work include Microbial Metabolic Engineering and Bioproduction (18 papers), Bacterial Genetics and Biotechnology (8 papers) and Bioinformatics and Genomic Networks (7 papers). Elizabeth Brunk is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (18 papers), Bacterial Genetics and Biotechnology (8 papers) and Bioinformatics and Genomic Networks (7 papers). Elizabeth Brunk collaborates with scholars based in United States, Denmark and Switzerland. Elizabeth Brunk's co-authors include Ursula Röthlisberger, Bernhard Ø. Palsson, Adam M. Feist, Jonathan M. Monk, Anand V. Sastry, Nathan Mih, Richard Szubin, Zachary A. King, Rikiya Takeuchi and Zhen Zhang and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Elizabeth Brunk

35 papers receiving 1.7k 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.

Mixed Quantum Mechanical/Molecular Mechanical Molecular Dynamics Simulations of Biological Systems in Ground and Electronically Excited States

2015 371 citations Elizabeth Brunk, Ursula Röthlisberger profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elizabeth Brunk United States	20	1.3k	361	191	168	168	37	1.7k
Jin Liu United States	29	1.8k 1.4×	99 0.3×	176 0.9×	239 1.4×	161 1.0×	80	2.4k
Jennifer L. Miller United States	21	1.5k 1.2×	86 0.2×	127 0.7×	116 0.7×	207 1.2×	33	2.1k
Razif R. Gabdoulline Germany	23	1.7k 1.3×	90 0.2×	327 1.7×	133 0.8×	433 2.6×	37	2.2k
William R. Widger United States	27	2.1k 1.6×	75 0.2×	147 0.8×	226 1.3×	177 1.1×	68	2.5k
Agnieszka K. Bronowska United Kingdom	21	913 0.7×	64 0.2×	118 0.6×	30 0.2×	144 0.9×	42	1.5k
Michael Pierce United States	17	1.2k 0.9×	73 0.2×	36 0.2×	58 0.3×	91 0.5×	31	1.5k
Marlon J. Hinner Switzerland	12	1.1k 0.8×	190 0.5×	114 0.6×	45 0.3×	152 0.9×	18	1.6k
Michael P. Valley United States	16	1.3k 1.0×	356 1.0×	58 0.3×	105 0.6×	134 0.8×	26	1.8k
Tomoshi Kameda Japan	22	1.2k 0.9×	164 0.5×	60 0.3×	38 0.2×	325 1.9×	90	1.6k
Vojtěch Spiwok Czechia	25	1.1k 0.8×	129 0.4×	135 0.7×	76 0.5×	299 1.8×	77	1.7k

Countries citing papers authored by Elizabeth Brunk

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Brunk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Brunk

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Brunk. A scholar is included among the top collaborators of Elizabeth Brunk 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 Elizabeth Brunk. Elizabeth Brunk 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

Fessler, J H, et al.. (2025). Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses. Frontiers in Pharmacology. 15. 1516621–1516621. 3 indexed citations

Spanheimer, Philip M., et al.. (2025). AI ‐Driven Variant Annotation for Precision Oncology in Breast Cancer. Clinical and Translational Science. 18(10). e70350–e70350.

Hutson, Bryant, et al.. (2024). Data Science for Biochemists: Integrating and Evaluating the Use of Interactive Digital Python Notebooks in a Large-Enrollment Undergraduate Biochemistry Course. Journal of Chemical Education. 101(9). 3643–3655.

Bhardwaj, Prarthna V, et al.. (2023). Advances in the Management of Early-Stage Triple-Negative Breast Cancer. International Journal of Molecular Sciences. 24(15). 12478–12478. 2 indexed citations

Chowdhry, Sudhir, Ciro Zanca, Utkrisht Rajkumar, et al.. (2019). NAD metabolic dependency in cancer is shaped by gene amplification and enhancer remodelling. Nature. 569(7757). 570–575. 155 indexed citations

Mih, Nathan, Elizabeth Brunk, Ke Chen, et al.. (2018). ssbio: a Python framework for structural systems biology. Bioinformatics. 34(12). 2155–2157. 26 indexed citations

McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Multiple Optimal Phenotypes Overcome Redox and Glycolytic Intermediate Metabolite Imbalances in Escherichia coli pgi Knockout Evolutions. Applied and Environmental Microbiology. 84(19). 28 indexed citations

Brunk, Elizabeth, Roger L. Chang, Jing Xia, et al.. (2018). Characterizing posttranslational modifications in prokaryotic metabolism using a multiscale workflow. Proceedings of the National Academy of Sciences. 115(43). 11096–11101. 36 indexed citations

McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Adaptation to the coupling of glycolysis to toxic methylglyoxal production in tpiA deletion strains of Escherichia coli requires synchronized and counterintuitive genetic changes. Metabolic Engineering. 48. 82–93. 34 indexed citations

10.

McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Growth Adaptation of gnd and sdhCB Escherichia coli Deletion Strains Diverges From a Similar Initial Perturbation of the Transcriptome. Frontiers in Microbiology. 9. 1793–1793. 21 indexed citations

11.

Monk, Jonathan M., Colton J. Lloyd, Elizabeth Brunk, et al.. (2017). iML1515, a knowledgebase that computes Escherichia coli traits. Nature Biotechnology. 35(10). 904–908. 365 indexed citations

12.

Lechner, Anna, Elizabeth Brunk, & Jay D. Keasling. (2016). The Need for Integrated Approaches in Metabolic Engineering. Cold Spring Harbor Perspectives in Biology. 8(11). a023903–a023903. 37 indexed citations

13.

Brunk, Elizabeth, Nathan Mih, Jonathan M. Monk, et al.. (2016). Systems biology of the structural proteome. BMC Systems Biology. 10(1). 26–26. 42 indexed citations

14.

Mih, Nathan, Elizabeth Brunk, Aarash Bordbar, & Bernhard Ø. Palsson. (2016). A Multi-scale Computational Platform to Mechanistically Assess the Effect of Genetic Variation on Drug Responses in Human Erythrocyte Metabolism. PLoS Computational Biology. 12(7). e1005039–e1005039. 11 indexed citations

15.

Ebrahim, Ali, Elizabeth Brunk, Justin Tan, et al.. (2016). Multi-omic data integration enables discovery of hidden biological regularities. Nature Communications. 7(1). 13091–13091. 119 indexed citations

16.

Brunk, Elizabeth, Kevin W. George, Jorge Alonso-Gutiérrez, et al.. (2016). Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow. Cell Systems. 2(5). 335–346. 70 indexed citations

17.

Aziz, Ramy K., Jonathan M. Monk, Elizabeth Brunk, et al.. (2015). Model-driven discovery of synergistic inhibitors against E. coli and S. enterica serovar Typhimurium targeting a novel synthetic lethal pair, aldA and prpC. Frontiers in Microbiology. 6. 958–958. 7 indexed citations

18.

Mentes, Ahmet, et al.. (2015). Free-Energy Landscape and Characteristic Forces for the Initiation of DNA Unzipping. Biophysical Journal. 108(7). 1727–1738. 9 indexed citations

19.

Brunk, Elizabeth, Birgit Mollwitz, & Ursula Röthlisberger. (2013). Mechanism to Trigger Unfolding in O⁶‐Alkylguanine‐DNA Alkyltransferase. ChemBioChem. 14(6). 703–710. 7 indexed citations

20.

Brunk, Elizabeth, et al.. (2011). Integrating computational methods to retrofit enzymes to synthetic pathways. Biotechnology and Bioengineering. 109(2). 572–582. 26 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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