Jacqueline E. Gonzalez

1.0k total citations
14 papers, 790 citations indexed

About

Jacqueline E. Gonzalez is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Jacqueline E. Gonzalez has authored 14 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Genetics. Recurrent topics in Jacqueline E. Gonzalez's work include Microbial Metabolic Engineering and Bioproduction (13 papers), Biofuel production and bioconversion (4 papers) and Gene Regulatory Network Analysis (3 papers). Jacqueline E. Gonzalez is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (13 papers), Biofuel production and bioconversion (4 papers) and Gene Regulatory Network Analysis (3 papers). Jacqueline E. Gonzalez collaborates with scholars based in United States and Denmark. Jacqueline E. Gonzalez's co-authors include Maciek R. Antoniewicz, Christopher P. Long, Eleftherios T. Papoutsakis, R. Kyle Bennett, Bernhard Ø. Palsson, Adam M. Feist, W. Brian Whitaker, Samuel Schmidt, Shannon M. Collins and Mattheos Koffas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Jacqueline E. Gonzalez

14 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline E. Gonzalez United States 12 734 293 125 56 55 14 790
Yuki Soma Japan 10 520 0.7× 179 0.6× 94 0.8× 31 0.6× 37 0.7× 18 592
R. Kyle Bennett United States 13 745 1.0× 382 1.3× 54 0.4× 49 0.9× 78 1.4× 14 809
Liwen Fan China 12 645 0.9× 187 0.6× 160 1.3× 49 0.9× 53 1.0× 33 757
Robert Conrado United States 7 609 0.8× 189 0.6× 43 0.3× 64 1.1× 33 0.6× 8 716
Frederic Y.-H. Chen Taiwan 7 564 0.8× 224 0.8× 62 0.5× 46 0.8× 63 1.1× 7 648
Vasiliy A. Portnoy United States 10 762 1.0× 293 1.0× 111 0.9× 21 0.4× 13 0.2× 10 835
Elvira Sgobba Germany 9 388 0.5× 174 0.6× 38 0.3× 48 0.9× 40 0.7× 9 449
Marc Carnicer Spain 13 626 0.9× 233 0.8× 38 0.3× 31 0.6× 47 0.9× 15 684
Seung Hwan Lee United States 11 482 0.7× 234 0.8× 25 0.2× 65 1.2× 60 1.1× 21 593
Igor W. Bogorad United States 5 594 0.8× 315 1.1× 24 0.2× 44 0.8× 68 1.2× 5 661

Countries citing papers authored by Jacqueline E. Gonzalez

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline E. Gonzalez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline E. Gonzalez. 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 Jacqueline E. Gonzalez. The network helps show where Jacqueline E. Gonzalez may publish in the future.

Co-authorship network of co-authors of Jacqueline E. Gonzalez

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

All Works

14 of 14 papers shown
1.
Gonzalez, Jacqueline E., et al.. (2024). Comprehensive stable-isotope tracing of glucose and amino acids identifies metabolic by-products and their sources in CHO cell culture. Proceedings of the National Academy of Sciences. 121(41). e2403033121–e2403033121. 4 indexed citations
2.
Naik, Harnish Mukesh, Swetha Kumar, Jacqueline E. Gonzalez, et al.. (2023). Chemical inhibitors of hexokinase‐2 enzyme reduce lactate accumulation, alter glycosylation processing, and produce altered glycoforms in CHO cell cultures. Biotechnology and Bioengineering. 120(9). 2559–2577. 6 indexed citations
3.
Bennett, R. Kyle, et al.. (2021). Improving the Methanol Tolerance of an Escherichia coli Methylotroph via Adaptive Laboratory Evolution Enhances Synthetic Methanol Utilization. Frontiers in Microbiology. 12. 638426–638426. 28 indexed citations
4.
Bennett, R. Kyle, Jacqueline E. Gonzalez, W. Brian Whitaker, Maciek R. Antoniewicz, & Eleftherios T. Papoutsakis. (2017). Expression of heterologous non-oxidative pentose phosphate pathway from Bacillus methanolicus and phosphoglucose isomerase deletion improves methanol assimilation and metabolite production by a synthetic Escherichia coli methylotroph. Metabolic Engineering. 45. 75–85. 84 indexed citations
5.
Long, Christopher P., Jacqueline E. Gonzalez, Adam M. Feist, Bernhard Ø. Palsson, & Maciek R. Antoniewicz. (2017). Fast growth phenotype of E. coli K-12 from adaptive laboratory evolution does not require intracellular flux rewiring. Metabolic Engineering. 44. 100–107. 51 indexed citations
6.
Gonzalez, Jacqueline E., R. Kyle Bennett, Eleftherios T. Papoutsakis, & Maciek R. Antoniewicz. (2017). Methanol assimilation in Escherichia coli is improved by co-utilization of threonine and deletion of leucine-responsive regulatory protein. Metabolic Engineering. 45. 67–74. 73 indexed citations
7.
Long, Christopher P., et al.. (2017). Metabolism of the fast-growing bacterium Vibrio natriegens elucidated by 13C metabolic flux analysis. Metabolic Engineering. 44. 191–197. 66 indexed citations
8.
Long, Christopher P., Jacqueline E. Gonzalez, Adam M. Feist, Bernhard Ø. Palsson, & Maciek R. Antoniewicz. (2017). Dissecting the genetic and metabolic mechanisms of adaptation to the knockout of a major metabolic enzyme inEscherichia coli. Proceedings of the National Academy of Sciences. 115(1). 222–227. 66 indexed citations
9.
Whitaker, W. Brian, J. Andrew Jones, R. Kyle Bennett, et al.. (2016). Engineering the biological conversion of methanol to specialty chemicals in Escherichia coli. Metabolic Engineering. 39. 49–59. 145 indexed citations
10.
Gonzalez, Jacqueline E., Christopher P. Long, & Maciek R. Antoniewicz. (2016). Comprehensive analysis of glucose and xylose metabolism in Escherichia coli under aerobic and anaerobic conditions by 13C metabolic flux analysis. Metabolic Engineering. 39. 9–18. 103 indexed citations
11.
Long, Christopher P., Jennifer Au, Jacqueline E. Gonzalez, & Maciek R. Antoniewicz. (2016). 13C metabolic flux analysis of microbial and mammalian systems is enhanced with GC-MS measurements of glycogen and RNA labeling. Metabolic Engineering. 38. 65–72. 45 indexed citations
12.
Gonzalez, Jacqueline E. & Maciek R. Antoniewicz. (2016). Tracing metabolism from lignocellulosic biomass and gaseous substrates to products with stable-isotopes. Current Opinion in Biotechnology. 43. 86–95. 29 indexed citations
13.
Sandberg, Troy E., Christopher P. Long, Jacqueline E. Gonzalez, et al.. (2016). Evolution of E. coli on [U-13C]Glucose Reveals a Negligible Isotopic Influence on Metabolism and Physiology. PLoS ONE. 11(3). e0151130–e0151130. 46 indexed citations
14.
Long, Christopher P., Jacqueline E. Gonzalez, Nicholas R. Sandoval, & Maciek R. Antoniewicz. (2016). Characterization of physiological responses to 22 gene knockouts in Escherichia coli central carbon metabolism. Metabolic Engineering. 37. 102–113. 44 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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