Zak Costello

1.6k total citations
16 papers, 839 citations indexed

About

Zak Costello is a scholar working on Molecular Biology, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Zak Costello has authored 16 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Control and Systems Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Zak Costello's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Gene Regulatory Network Analysis (4 papers) and Smart Grid Energy Management (3 papers). Zak Costello is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Gene Regulatory Network Analysis (4 papers) and Smart Grid Energy Management (3 papers). Zak Costello collaborates with scholars based in United States, Denmark and Spain. Zak Costello's co-authors include Héctor García Martín, Jay D. Keasling, Christopher J. Petzold, Magnus Egerstedt, Jie Zhang, Yu Chen, M.J. Fero, Eduardo Abeliuk, Benjamín J. Sánchez and Michael K. Jensen and has published in prestigious journals such as Nature Communications, IEEE Transactions on Automatic Control and IEEE Transactions on Power Systems.

In The Last Decade

Zak Costello

16 papers receiving 822 citations

Peers

Zak Costello

EEE

BIOTE

Ezequiel Franco‐Lara Germany

Joonhoon Kim United States

Diana Visser Netherlands

Martin A. Hjortsø United States

Nikolaus Sonnenschein Denmark

Shekhar Mishra United States

Toshiro Kobori Japan

Enrique J. Herrera-López Mexico

Sorena Rahmanian United States

Marlon M. Reis New Zealand

Ezequiel Franco‐Lara Germany

Zak Costello

717 ×1.1

340 ×1.9

46 ×0.6

32 ×0.5

EEE

78 ×1.2

BIOTE

Citations per year, relative to Zak Costello Zak Costello (= 1×) peers Ezequiel Franco‐Lara

Countries citing papers authored by Zak Costello

Since Specialization

Citations

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

Fields of papers citing papers by Zak Costello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zak Costello

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

All Works

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16 of 16 papers shown

Backman, Tyler W. H., Christina Schenk, Tijana Radivojević, et al.. (2023). BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. PLoS Computational Biology. 19(11). e1011111–e1011111. 4 indexed citations

Zhang, Jie, Søren D. Petersen, Tijana Radivojević, et al.. (2020). Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism. Nature Communications. 11(1). 4880–4880. 207 indexed citations

Wehrs, Maren, Deepanwita Banerjee, Jan‐Philip Prahl, et al.. (2020). Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation. Microbial Cell Factories. 19(1). 167–167. 8 indexed citations

Thompson, Mitchell G., Allison N. Pearson, Jesus F. Barajas, et al.. (2019). Identification, Characterization, and Application of a Highly Sensitive Lactam Biosensor from Pseudomonas putida. ACS Synthetic Biology. 9(1). 53–62. 28 indexed citations

Thompson, Mitchell G., Zak Costello, Pablo Cruz‐Morales, et al.. (2019). Robust Characterization of Two Distinct Glutarate Sensing Transcription Factors of Pseudomonas putida l -Lysine Metabolism. ACS Synthetic Biology. 8(10). 2385–2396. 22 indexed citations

Chen, Yan, Jennifer Gin, Leanne Jade G. Chan, et al.. (2019). Automated “Cells-To-Peptides” Sample Preparation Workflow for High-Throughput, Quantitative Proteomic Assays of Microbes. Journal of Proteome Research. 18(10). 3752–3761. 29 indexed citations

Opgenorth, Paul H., Zak Costello, Takuya Okada, et al.. (2019). Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning. ACS Synthetic Biology. 8(6). 1337–1351. 107 indexed citations

Denby, Charles M., Zak Costello, Weiyin Lin, et al.. (2018). Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer. Nature Communications. 9(1). 965–965. 159 indexed citations

Costello, Zak & Héctor García Martín. (2018). A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data. npj Systems Biology and Applications. 4(1). 19–19. 167 indexed citations

10.

Goyal, Garima, Zak Costello, Jorge Alonso-Gutiérrez, et al.. (2018). Parallel Integration and Chromosomal Expansion of Metabolic Pathways. ACS Synthetic Biology. 7(11). 2566–2576. 5 indexed citations

11.

Backman, Tyler W. H., Christopher J. Petzold, Edward E. K. Baidoo, et al.. (2017). The Experiment Data Depot: A Web-Based Software Tool for Biological Experimental Data Storage, Sharing, and Visualization. ACS Synthetic Biology. 6(12). 2248–2259. 34 indexed citations

12.

Nazari, Masoud H., et al.. (2016). Distributed frequency control of prosumer-based electric energy systems. 1–1. 3 indexed citations

13.

Costello, Zak & Magnus Egerstedt. (2015). From Global, Finite-Time, Linear Computations to Local, Edge-Based Interaction Rules. IEEE Transactions on Automatic Control. 60(8). 2237–2241. 4 indexed citations

14.

Costello, Zak & Magnus Egerstedt. (2014). The degree of nonholonomy in distributed computations. SMARTech Repository (Georgia Institute of Technology). 10. 6092–6098. 5 indexed citations

15.

Nazari, Masoud H., Zak Costello, Mohammad Javad Feizollahi, Santiago Grijalva, & Magnus Egerstedt. (2014). Distributed Frequency Control of Prosumer-Based Electric Energy Systems. IEEE Transactions on Power Systems. 29(6). 2934–2942. 45 indexed citations

16.

Costello, Zak, et al.. (2012). Distributed Power Allocation in Prosumer Networks. IFAC Proceedings Volumes. 45(26). 156–161. 12 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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