Michael R. Connor

1.7k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Michael R. Connor is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Michael R. Connor has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Plant Science. Recurrent topics in Michael R. Connor's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Biofuel production and bioconversion (4 papers) and Enzyme Catalysis and Immobilization (4 papers). Michael R. Connor is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Biofuel production and bioconversion (4 papers) and Enzyme Catalysis and Immobilization (4 papers). Michael R. Connor collaborates with scholars based in United States. Michael R. Connor's co-authors include James C. Liao, Shota Atsumi, Taizo Hanai, Kevin M. Smith, Mark P. Brynildsen, Katherine Chou, Claire R. Shen, Eileen Fung, Sun‐Gu Lee and Thomas Bülter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Michael R. Connor

8 papers receiving 1.2k citations

Hit Papers

Metabolic engineering of Escherichia coli for 1-butanol p... 2007 2026 2013 2019 2007 200 400 600
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.

  1. Metabolic engineering of Escherichia coli for 1-butanol production
    2007 613 citations Shota Atsumi, Michael R. Connor et al. Metabolic Engineering profile →

Peers

Michael R. Connor
Eric J. Steen United States
Jong Myoung Park South Korea
Nicolaas A. Buijs Sweden
Howard H. Chou United States
Veronica T. Benites United States
Tadashi Kamikubo Japan
Gabriel M. Rodriguez United States
Daniel Mendez‐Perez United States
Yohei Tashiro Japan
Yoshihiro Toya Japan
Eric J. Steen United States
Michael R. Connor
Citations per year, relative to Michael R. Connor Michael R. Connor (= 1×) peers Eric J. Steen

Countries citing papers authored by Michael R. Connor

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Connor

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

All Works

9 of 9 papers shown
1.
Machado, Iara M.P., et al.. (2012). Engineering Synechococcus elongatus PCC 7942 for Continuous Growth under Diurnal Conditions. Applied and Environmental Microbiology. 79(5). 1668–1675. 66 indexed citations
2.
Connor, Michael R., et al.. (2010). 3-Methyl-1-butanol production in Escherichia coli: random mutagenesis and two-phase fermentation. Applied Microbiology and Biotechnology. 86(4). 1155–1164. 120 indexed citations
3.
Connor, Michael R. & Shota Atsumi. (2010). Synthetic Biology Guides Biofuel Production. SHILAP Revista de lepidopterología. 2010. 1–9. 57 indexed citations
4.
Connor, Michael R. & James C. Liao. (2009). Microbial production of advanced transportation fuels in non-natural hosts. Current Opinion in Biotechnology. 20(3). 307–315. 160 indexed citations
5.
Çakır, M., Jideng Ma, Etienne Paux, et al.. (2008). Marker development, high-throughput and logistics of MAS applications in a large wheat breeding program. Murdoch Research Repository (Murdoch University). 1 indexed citations
6.
Connor, Michael R. & James C. Liao. (2008). Engineering of an Escherichia coli Strain for the Production of 3-Methyl-1-Butanol. Applied and Environmental Microbiology. 74(18). 5769–5775. 124 indexed citations
7.
Çakır, M., Jideng Ma, Michael R. Connor, et al.. (2008). Applications and challenges of marker-assisted selection in the Western Australian Wheat Breeding Program. Murdoch Research Repository (Murdoch University). 2 indexed citations
8.
Atsumi, Shota, Michael R. Connor, Claire R. Shen, et al.. (2007). Metabolic engineering of Escherichia coli for 1-butanol production. Metabolic Engineering. 10(6). 305–311. 613 indexed citations breakdown →
9.
Bülter, Thomas, Sun‐Gu Lee, Wilson W. Wong, et al.. (2004). Design of artificial cell–cell communication using gene and metabolic networks. Proceedings of the National Academy of Sciences. 101(8). 2299–2304. 123 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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