Zachary A. King

7.2k total citations · 2 hit papers
42 papers, 3.6k citations indexed

About

Zachary A. King is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Zachary A. King has authored 42 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Biomedical Engineering and 6 papers in Genetics. Recurrent topics in Zachary A. King's work include Microbial Metabolic Engineering and Bioproduction (25 papers), Biofuel production and bioconversion (11 papers) and Gene Regulatory Network Analysis (9 papers). Zachary A. King is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (25 papers), Biofuel production and bioconversion (11 papers) and Gene Regulatory Network Analysis (9 papers). Zachary A. King collaborates with scholars based in United States, Denmark and Canada. Zachary A. King's co-authors include Bernhard Ø. Palsson, Jonathan M. Monk, Aarash Bordbar, Andreas Dräger, Adam M. Feist, Ali Ebrahim, Nathan E. Lewis, Colton J. Lloyd, Anand V. Sastry and David C. Martin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Zachary A. King

42 papers receiving 3.6k 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.

BiGG Models: A platform for integrating, standardizing and sharing genome-scale models

2015 586 citations Zachary A. King, Andreas Dräger et al. Nucleic Acids Research profile →
Constraint-based models predict metabolic and associated cellular functions

2014 586 citations Jonathan M. Monk, Zachary A. King et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zachary A. King United States	25	2.7k	1.2k	350	348	276	42	3.6k
Shuting Liu China	32	1.1k 0.4×	426 0.4×	147 0.4×	248 0.7×	132 0.5×	152	2.9k
Wei Niu United States	30	2.9k 1.1×	1.0k 0.9×	429 1.2×	38 0.1×	49 0.2×	101	3.6k
Dan Wang China	29	1.6k 0.6×	502 0.4×	74 0.2×	34 0.1×	178 0.6×	98	2.7k
Lenka Halámková United States	25	553 0.2×	526 0.5×	263 0.8×	280 0.8×	288 1.0×	47	2.4k
Wenbo Liu China	32	564 0.2×	1.4k 1.2×	201 0.6×	603 1.7×	25 0.1×	74	3.9k
Guodong Liu China	35	1.9k 0.7×	1.8k 1.5×	96 0.3×	20 0.1×	50 0.2×	145	3.5k
Moon‐Young Yoon South Korea	28	1.5k 0.5×	483 0.4×	130 0.4×	43 0.1×	30 0.1×	144	2.4k
Jia Huang China	31	1.4k 0.5×	374 0.3×	463 1.3×	16 0.0×	811 2.9×	109	3.1k

Countries citing papers authored by Zachary A. King

Since Specialization

Citations

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

Fields of papers citing papers by Zachary A. King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zachary A. King. 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 Zachary A. King. The network helps show where Zachary A. King may publish in the future.

Co-authorship network of co-authors of Zachary A. King

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Borland, David, Zerong Li, Benjamin P. Kellman, et al.. (2023). ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data. STAR Protocols. 4(1). 102069–102069. 3 indexed citations

Kumar, Avi, et al.. (2020). Escher-Trace: a web application for pathway-based visualization of stable isotope tracing data. BMC Bioinformatics. 21(1). 297–297. 16 indexed citations

Lamoureux, Cameron, Kumari Sonal Choudhary, Zachary A. King, et al.. (2020). The Bitome: digitized genomic features reveal fundamental genome organization. Nucleic Acids Research. 48(18). 10157–10163. 10 indexed citations

Phaneuf, Patrick V., James T. Yurkovich, David Heckmann, et al.. (2020). Causal mutations from adaptive laboratory evolution are outlined by multiple scales of genome annotations and condition-specificity. BMC Genomics. 21(1). 514–514. 24 indexed citations

Yurkovich, James T., Zachary A. King, Laurence Yang, et al.. (2020). Visualizing metabolic network dynamics through time-series metabolomic data. BMC Bioinformatics. 21(1). 130–130. 13 indexed citations

King, Zachary A., et al.. (2019). The y-ome defines the 35% of Escherichia coli genes that lack experimental evidence of function. Nucleic Acids Research. 47(5). 2446–2454. 95 indexed citations

Lachance, Jean‐Christophe, Colton J. Lloyd, Jonathan M. Monk, et al.. (2019). BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data. PLoS Computational Biology. 15(4). e1006971–e1006971. 72 indexed citations

Guzmán, Gabriela I., Troy E. Sandberg, Ryan A. LaCroix, et al.. (2019). Enzyme promiscuity shapes adaptation to novel growth substrates. Molecular Systems Biology. 15(4). e8462–e8462. 60 indexed citations

King, Zachary A., et al.. (2019). Can CPAP Therapy in Pediatric OSA Ever Be Stopped?. Journal of Clinical Sleep Medicine. 15(11). 1609–1612. 13 indexed citations

10.

Sastry, Anand V., Ye Gao, Richard Szubin, et al.. (2019). The Escherichia coli transcriptome mostly consists of independently regulated modules. Nature Communications. 10(1). 5536–5536. 153 indexed citations

11.

Lloyd, Colton J., Ali Ebrahim, Laurence Yang, et al.. (2018). COBRAme: A computational framework for genome-scale models of metabolism and gene expression. PLoS Computational Biology. 14(7). e1006302–e1006302. 107 indexed citations

12.

Palsson, Bernhard Ø., et al.. (2018). Escher-FBA: a web application for interactive flux balance analysis. BMC Systems Biology. 12(1). 84–84. 40 indexed citations

13.

Schleyer, Titus, Zachary A. King, & Zina Ben Miled. (2017). A Novel Conceptual Architecture for Person-Centered Health Records. IUScholarWorks (Indiana University). 1 indexed citations

14.

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

15.

King, Zachary A., Edward J. O’Brien, Adam M. Feist, & Bernhard Ø. Palsson. (2016). Literature mining supports a next-generation modeling approach to predict cellular byproduct secretion. Metabolic Engineering. 39. 220–227. 29 indexed citations

16.

King, Zachary A., Andreas Dräger, Philip Miller, et al.. (2015). BiGG Models: A platform for integrating, standardizing and sharing genome-scale models. Nucleic Acids Research. 44(D1). D515–D522. 586 indexed citations breakdown →

17.

King, Zachary A., Andreas Dräger, Ali Ebrahim, et al.. (2015). Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways. PLoS Computational Biology. 11(8). e1004321–e1004321. 247 indexed citations

18.

King, Zachary A., Colton J. Lloyd, Adam M. Feist, & Bernhard Ø. Palsson. (2015). Next-generation genome-scale models for metabolic engineering. Current Opinion in Biotechnology. 35. 23–29. 120 indexed citations

19.

King, Zachary A. & Adam M. Feist. (2013). Optimizing Cofactor Specificity of Oxidoreductase Enzymes for the Generation of Microbial Production Strains—OptSwap. Industrial Biotechnology. 9(4). 236–246. 25 indexed citations

20.

King, Zachary A., Charles M. Shaw, Sarah A. Spanninga, & David C. Martin. (2011). Structural, chemical and electrochemical characterization of poly(3,4-Ethylenedioxythiophene) (PEDOT) prepared with various counter-ions and heat treatments. Polymer. 52(5). 1302–1308. 79 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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