Patrick F. Suthers

2.0k total citations
26 papers, 1.5k citations indexed

About

Patrick F. Suthers is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Patrick F. Suthers has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Biomedical Engineering and 4 papers in Genetics. Recurrent topics in Patrick F. Suthers's work include Microbial Metabolic Engineering and Bioproduction (23 papers), Biofuel production and bioconversion (13 papers) and Enzyme Catalysis and Immobilization (10 papers). Patrick F. Suthers is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (23 papers), Biofuel production and bioconversion (13 papers) and Enzyme Catalysis and Immobilization (10 papers). Patrick F. Suthers collaborates with scholars based in United States, United Kingdom and Japan. Patrick F. Suthers's co-authors include Costas D. Maranas, Sridhar Ranganathan, Rajib Saha, John Yin, Lingchong You, Akhil Kumar, Madhukar S. Dasika, Ali R. Zomorrodi, Vinay Kumar and John I. Glass and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Patrick F. Suthers

25 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick F. Suthers United States 16 1.4k 605 139 126 97 26 1.5k
Matthew Oberhardt United States 17 1.5k 1.1× 479 0.8× 111 0.8× 200 1.6× 87 0.9× 33 1.8k
Colton J. Lloyd United States 17 1.4k 1.0× 578 1.0× 55 0.4× 200 1.6× 36 0.4× 22 1.5k
Matthew DeJongh United States 7 1.0k 0.7× 389 0.6× 92 0.7× 83 0.7× 39 0.4× 16 1.1k
Stephen Federowicz United States 7 837 0.6× 218 0.4× 80 0.6× 159 1.3× 31 0.3× 8 960
Nathan Mih United States 15 1.1k 0.8× 304 0.5× 70 0.5× 178 1.4× 30 0.3× 20 1.2k
Tom M Conrad United States 9 2.2k 1.7× 692 1.1× 89 0.6× 613 4.9× 49 0.5× 11 2.5k
Anand V. Sastry United States 25 1.6k 1.2× 318 0.5× 136 1.0× 521 4.1× 73 0.8× 46 1.9k
Liviu Popescu Romania 7 867 0.6× 181 0.3× 130 0.9× 78 0.6× 115 1.2× 29 1.1k
Eric M. Knight United States 13 2.1k 1.6× 441 0.7× 227 1.6× 768 6.1× 41 0.4× 15 2.4k
Meiyappan Lakshmanan Singapore 20 934 0.7× 319 0.5× 22 0.2× 65 0.5× 203 2.1× 45 1.1k

Countries citing papers authored by Patrick F. Suthers

Since Specialization
Citations

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

Fields of papers citing papers by Patrick F. Suthers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick F. Suthers. 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 Patrick F. Suthers. The network helps show where Patrick F. Suthers may publish in the future.

Co-authorship network of co-authors of Patrick F. Suthers

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick F. Suthers. A scholar is included among the top collaborators of Patrick F. Suthers 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 Patrick F. Suthers. Patrick F. Suthers 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.
Martin, Teresa A., et al.. (2026). High yield production of 3-hydroxypropionic acid using Issatchenkia orientalis. Nature Communications. 17(1). 899–899.
2.
Suthers, Patrick F., et al.. (2024). KETCHUP: Parameterizing of large-scale kinetic models using multiple datasets with different reference states. Metabolic Engineering. 82. 123–133. 4 indexed citations
3.
4.
Wu, Zong‐Yen, Wan Sun, Yihui Shen, et al.. (2023). Metabolic engineering of low-pH-tolerant non-model yeast, Issatchenkia orientalis, for production of citramalate. Metabolic Engineering Communications. 16. e00220–e00220. 14 indexed citations
5.
Dinh, Hoang V., Yihui Shen, Patrick F. Suthers, et al.. (2023). Comparative study of two Saccharomyces cerevisiae strains with kinetic models at genome-scale. Metabolic Engineering. 76. 1–17. 13 indexed citations
6.
Foster, Charles, Lin Wang, Hoang V. Dinh, Patrick F. Suthers, & Costas D. Maranas. (2020). Building kinetic models for metabolic engineering. Current Opinion in Biotechnology. 67. 35–41. 38 indexed citations
7.
8.
Suthers, Patrick F., Hoang V. Dinh, Zia Fatma, et al.. (2020). Genome-scale metabolic reconstruction of the non-model yeast Issatchenkia orientalis SD108 and its application to organic acids production. Metabolic Engineering Communications. 11. e00148–e00148. 21 indexed citations
9.
Dinh, Hoang V., Patrick F. Suthers, Siu Hung Joshua Chan, et al.. (2019). A comprehensive genome-scale model for Rhodosporidium toruloides IFO0880 accounting for functional genomics and phenotypic data. Metabolic Engineering Communications. 9. e00101–e00101. 55 indexed citations
10.
Kumar, Akhil, Patrick F. Suthers, & Costas D. Maranas. (2012). MetRxn: a knowledgebase of metabolites and reactions spanning metabolic models and databases. BMC Bioinformatics. 13(1). 6–6. 105 indexed citations
11.
Zomorrodi, Ali R., Patrick F. Suthers, Sridhar Ranganathan, & Costas D. Maranas. (2012). Mathematical optimization applications in metabolic networks. Metabolic Engineering. 14(6). 672–686. 100 indexed citations
12.
Suthers, Patrick F., et al.. (2011). Construction of an E. Coli genome‐scale atom mapping model for MFA calculations. Biotechnology and Bioengineering. 108(6). 1372–1382. 38 indexed citations
13.
Saha, Rajib, Patrick F. Suthers, & Costas D. Maranas. (2011). Zea mays iRS1563: A Comprehensive Genome-Scale Metabolic Reconstruction of Maize Metabolism. PLoS ONE. 6(7). e21784–e21784. 164 indexed citations
14.
Ranganathan, Sridhar, Patrick F. Suthers, & Costas D. Maranas. (2010). OptForce: An Optimization Procedure for Identifying All Genetic Manipulations Leading to Targeted Overproductions. PLoS Computational Biology. 6(4). e1000744–e1000744. 314 indexed citations
15.
Suthers, Patrick F., Madhukar S. Dasika, Vinay Kumar, et al.. (2009). A Genome-Scale Metabolic Reconstruction of Mycoplasma genitalium, iPS189. PLoS Computational Biology. 5(2). e1000285–e1000285. 107 indexed citations
16.
Suthers, Patrick F., et al.. (2009). Improved computational performance of MFA using elementary metabolite units and flux coupling. Metabolic Engineering. 12(2). 123–128. 25 indexed citations
17.
AbuOun, Manal, Patrick F. Suthers, Ben Carter, et al.. (2009). Genome Scale Reconstruction of a Salmonella Metabolic Model. Journal of Biological Chemistry. 284(43). 29480–29488. 71 indexed citations
18.
Suthers, Patrick F., et al.. (2008). Identification of optimal measurement sets for complete flux elucidation in metabolic flux analysis experiments. Biotechnology and Bioengineering. 100(6). 1039–1049. 33 indexed citations
19.
Suthers, Patrick F., Anthony P. Burgard, Madhukar S. Dasika, et al.. (2007). Metabolic flux elucidation for large-scale models using 13C labeled isotopes. Metabolic Engineering. 9(5-6). 387–405. 86 indexed citations
20.
Suthers, Patrick F., Richard L. Gourse, & John Yin. (2007). Rapid responses of ribosomal RNA synthesis to nutrient shifts. Biotechnology and Bioengineering. 97(5). 1230–1245. 5 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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