Maciek R. Antoniewicz

9.9k total citations · 1 hit paper
95 papers, 7.1k citations indexed

About

Maciek R. Antoniewicz is a scholar working on Molecular Biology, Biomedical Engineering and Clinical Biochemistry. According to data from OpenAlex, Maciek R. Antoniewicz has authored 95 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 19 papers in Biomedical Engineering and 11 papers in Clinical Biochemistry. Recurrent topics in Maciek R. Antoniewicz's work include Microbial Metabolic Engineering and Bioproduction (73 papers), Metabolomics and Mass Spectrometry Studies (30 papers) and Gene Regulatory Network Analysis (21 papers). Maciek R. Antoniewicz is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (73 papers), Metabolomics and Mass Spectrometry Studies (30 papers) and Gene Regulatory Network Analysis (21 papers). Maciek R. Antoniewicz collaborates with scholars based in United States, Denmark and New Zealand. Maciek R. Antoniewicz's co-authors include Gregory Stephanopoulos, Joanne K. Kelleher, Christopher P. Long, Woo Suk Ahn, Scott B. Crown, Jacqueline E. Gonzalez, Eleftherios T. Papoutsakis, Hyuntae Yoo, Jennifer Au and R. Kyle Bennett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Maciek R. Antoniewicz

94 papers receiving 7.0k citations

Hit Papers

Hexokinase-2 depletion inhibits glycolysis and induces ox... 2018 2026 2020 2023 2018 100 200 300

Peers

Maciek R. Antoniewicz
Jamey D. Young United States
Xiaoyang Su United States
Daniel R. Hyduke United States
Aarash Bordbar United States
Lie Li China
P. Terpstra Netherlands
Jamey D. Young United States
Maciek R. Antoniewicz
Citations per year, relative to Maciek R. Antoniewicz Maciek R. Antoniewicz (= 1×) peers Jamey D. Young

Countries citing papers authored by Maciek R. Antoniewicz

Since Specialization
Citations

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

Fields of papers citing papers by Maciek R. Antoniewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maciek R. Antoniewicz. 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 Maciek R. Antoniewicz. The network helps show where Maciek R. Antoniewicz may publish in the future.

Co-authorship network of co-authors of Maciek R. Antoniewicz

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

All Works

20 of 20 papers shown
1.
Hong, Yuna, K S Gilmore, Zujun Deng, et al.. (2025). Modulating fatty acid metabolism and composition of CHO cells by feeding high levels of fatty acids complexed using methyl-β-cyclodextrin. Metabolic Engineering. 91. 158–169.
3.
Long, Christopher P., Yanfen Xue, Yanhe Ma, et al.. (2024). A citric acid cycle-deficient Escherichia coli as an efficient chassis for aerobic fermentations. Nature Communications. 15(1). 2372–2372. 30 indexed citations
4.
Naik, Harnish Mukesh, et al.. (2024). Elucidating uptake and metabolic fate of dipeptides in CHO cell cultures using 13C labeling experiments and kinetic modeling. Metabolic Engineering. 83. 12–23. 6 indexed citations
5.
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
6.
Bennett, R. Kyle, et al.. (2020). Triggering the stringent response enhances synthetic methanol utilization in Escherichia coli. Metabolic Engineering. 61. 1–10. 18 indexed citations
7.
Bennett, R. Kyle, et al.. (2020). Engineering Escherichia coli for methanol-dependent growth on glucose for metabolite production. Metabolic Engineering. 60. 45–55. 38 indexed citations
8.
Antoniewicz, Maciek R.. (2020). A guide to metabolic flux analysis in metabolic engineering: Methods, tools and applications. Metabolic Engineering. 63. 2–12. 93 indexed citations
9.
Antoniewicz, Maciek R., et al.. (2019). Improving synthetic methylotrophy via dynamic formaldehyde regulation of pentose phosphate pathway genes and redox perturbation. Metabolic Engineering. 57. 247–255. 30 indexed citations
10.
Chen, Yiqun, et al.. (2019). An unconventional uptake rate objective function approach enhances applicability of genome-scale models for mammalian cells. npj Systems Biology and Applications. 5(1). 25–25. 39 indexed citations
11.
Long, Christopher P. & Maciek R. Antoniewicz. (2019). Metabolic flux responses to deletion of 20 core enzymes reveal flexibility and limits of E. coli metabolism. Metabolic Engineering. 55. 249–257. 34 indexed citations
12.
Nogueira, Véronique, Alexander R. Terry, Krushna C. Patra, et al.. (2018). Hexokinase-2 depletion inhibits glycolysis and induces oxidative phosphorylation in hepatocellular carcinoma and sensitizes to metformin. Nature Communications. 9(1). 446–446. 374 indexed citations breakdown →
14.
Long, Christopher P. & Maciek R. Antoniewicz. (2018). How adaptive evolution reshapes metabolism to improve fitness: recent advances and future outlook. Current Opinion in Chemical Engineering. 22. 209–215. 32 indexed citations
15.
Long, Christopher P., et al.. (2017). Enzyme I facilitates reverse flux from pyruvate to phosphoenolpyruvate in Escherichia coli. Nature Communications. 8(1). 14316–14316. 43 indexed citations
16.
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
17.
Zúñiga, Cristal, Chien‐Ting Li, Jennifer Levering, et al.. (2016). Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions. PLANT PHYSIOLOGY. 172(1). 589–602. 87 indexed citations
18.
Crown, Scott B. & Maciek R. Antoniewicz. (2011). Selection of tracers for 13C-Metabolic Flux Analysis using Elementary Metabolite Units (EMU) basis vector methodology. Metabolic Engineering. 14(2). 150–161. 69 indexed citations
19.
Moxley, Joel F., Michael C. Jewett, Maciek R. Antoniewicz, et al.. (2009). Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p. Proceedings of the National Academy of Sciences. 106(16). 6477–6482. 129 indexed citations
20.
Antoniewicz, Maciek R., et al.. (2000). Energetics of growth and penicillin production in a high-producing strain ofPenicillium chrysogenum. Biotechnology and Bioengineering. 72(2). 185–193. 63 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026