Lon M. Chubiz

915 total citations
23 papers, 609 citations indexed

About

Lon M. Chubiz is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Lon M. Chubiz has authored 23 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Genetics and 3 papers in Ecology. Recurrent topics in Lon M. Chubiz's work include Microbial Metabolic Engineering and Bioproduction (9 papers), Bacterial Genetics and Biotechnology (9 papers) and Evolution and Genetic Dynamics (5 papers). Lon M. Chubiz is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (9 papers), Bacterial Genetics and Biotechnology (9 papers) and Evolution and Genetic Dynamics (5 papers). Lon M. Chubiz collaborates with scholars based in United States, India and Australia. Lon M. Chubiz's co-authors include Christopher V. Rao, Christopher J. Marx, William R. Harcombe, Yann R. Chemla, Patrick J. Mears, Ido Golding, Jeremy M. Chacón, Elizabeth M. Adamowicz, Chinthalapally V. Rao and George D. Glekas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Lon M. Chubiz

23 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lon M. Chubiz United States 14 328 239 130 79 72 23 609
Madeleine Opitz Germany 14 290 0.9× 117 0.5× 89 0.7× 130 1.6× 12 0.2× 24 570
Simon van Vliet Switzerland 13 327 1.0× 178 0.7× 87 0.7× 193 2.4× 9 0.1× 24 628
Hassan Sakhtah United States 11 636 1.9× 247 1.0× 175 1.3× 144 1.8× 142 2.0× 14 913
Sattar Taheri-Araghi United States 11 625 1.9× 339 1.4× 99 0.8× 111 1.4× 32 0.4× 25 853
Jonathan D. Partridge United States 17 691 2.1× 314 1.3× 159 1.2× 151 1.9× 60 0.8× 25 1.1k
Anand Pai United States 12 450 1.4× 248 1.0× 106 0.8× 51 0.6× 19 0.3× 14 702
Morgane Wartel France 9 337 1.0× 225 0.9× 44 0.3× 139 1.8× 35 0.5× 13 503
R. Fredrik Inglis Switzerland 15 304 0.9× 294 1.2× 58 0.4× 167 2.1× 36 0.5× 22 743
Francisco Javier Marcos‐Torres Spain 11 404 1.2× 157 0.7× 77 0.6× 234 3.0× 62 0.9× 15 675
Eric Jelli Germany 9 241 0.7× 59 0.2× 79 0.6× 91 1.2× 12 0.2× 13 467

Countries citing papers authored by Lon M. Chubiz

Since Specialization
Citations

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

Fields of papers citing papers by Lon M. Chubiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lon M. Chubiz. 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 Lon M. Chubiz. The network helps show where Lon M. Chubiz may publish in the future.

Co-authorship network of co-authors of Lon M. Chubiz

This figure shows the co-authorship network connecting the top 25 collaborators of Lon M. Chubiz. A scholar is included among the top collaborators of Lon M. Chubiz 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 Lon M. Chubiz. Lon M. Chubiz 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.
Chubiz, Lon M., et al.. (2023). Gut microbiome composition associated with Plasmodium infection in the Eurasian tree sparrow. Journal of Avian Biology. 2023(1-2). 9 indexed citations
2.
Jiménez-Uzcátegui, Gustavo, et al.. (2023). Composition and function of the Galapagos penguin gut microbiome vary with age, location, and a putative bacterial pathogen. Scientific Reports. 13(1). 5358–5358. 13 indexed citations
3.
Chubiz, Lon M.. (2023). The Mar, Sox, and Rob Systems. EcoSal Plus. 11(1). eesp00102022–eesp00102022. 6 indexed citations
4.
McClelland, H. L. O., Clive Jones, Lon M. Chubiz, David A. Fike, & Alexander S. Bradley. (2020). Direct Observation of the Dynamics of Single-Cell Metabolic Activity during Microbial Diauxic Growth. mBio. 11(2). 8 indexed citations
6.
Harcombe, William R., Jeremy M. Chacón, Elizabeth M. Adamowicz, Lon M. Chubiz, & Christopher J. Marx. (2018). Evolution of bidirectional costly mutualism from byproduct consumption. Proceedings of the National Academy of Sciences. 115(47). 12000–12004. 82 indexed citations
7.
Chubiz, Lon M., et al.. (2017). Identification of the potentiating mutations and synergistic epistasis that enabled the evolution of inter-species cooperation. PLoS ONE. 12(5). e0174345–e0174345. 16 indexed citations
8.
Chubiz, Lon M. & Christopher J. Marx. (2017). Growth Trade-Offs Accompany the Emergence of Glycolytic Metabolism in Shewanella oneidensis MR-1. Journal of Bacteriology. 199(11). 18 indexed citations
9.
Agashe, Deepa, Gaurav D. Diwan, N. Cecilia Martínez-Gómez, et al.. (2016). Large-Effect Beneficial Synonymous Mutations Mediate Rapid and Parallel Adaptation in a Bacterium. Molecular Biology and Evolution. 33(6). 1542–1553. 48 indexed citations
10.
Chubiz, Lon M., et al.. (2016). Parallel Mutations Result in a Wide Range of Cooperation and Community Consequences in a Two-Species Bacterial Consortium. PLoS ONE. 11(9). e0161837–e0161837. 17 indexed citations
11.
Chubiz, Lon M., et al.. (2015). Species interactions differ in their genetic robustness. Frontiers in Microbiology. 6. 271–271. 15 indexed citations
12.
Carroll, Sean M., Lon M. Chubiz, Deepa Agashe, & Christopher J. Marx. (2015). Parallel and Divergent Evolutionary Solutions for the Optimization of an Engineered Central Metabolism in Methylobacterium extorquens AM1. Microorganisms. 3(2). 152–174. 11 indexed citations
13.
Chubiz, Lon M., et al.. (2014). Combining Engineering and Evolution to Create Novel Metabolic Mutualisms Between Species. Methods in molecular biology. 1151. 39–47. 5 indexed citations
14.
Chubiz, Lon M., et al.. (2013). A novel pair of inducible expression vectors for use in Methylobacterium extorquens. BMC Research Notes. 6(1). 183–183. 34 indexed citations
15.
Chubiz, Lon M., Ming‐Chun Lee, Nigel F. Delaney, & Christopher J. Marx. (2012). FREQ-Seq: A Rapid, Cost-Effective, Sequencing-Based Method to Determine Allele Frequencies Directly from Mixed Populations. PLoS ONE. 7(10). e47959–e47959. 33 indexed citations
16.
Chubiz, Lon M., George D. Glekas, & Chinthalapally V. Rao. (2012). Transcriptional Cross Talk within themar-sox-robRegulon in Escherichia coli Is Limited to therobandmarRABOperons. Journal of Bacteriology. 194(18). 4867–4875. 36 indexed citations
17.
Mears, Patrick J., et al.. (2010). High Resolution, Long Term Characterization of Bacterial Motility Using Optical Tweezers. Biophysical Journal. 98(3). 416a–416a. 7 indexed citations
18.
Chubiz, Lon M. & Christopher V. Rao. (2010). Aromatic Acid Metabolites of Escherichia coli K-12 Can Induce the marRAB Operon. Journal of Bacteriology. 192(18). 4786–4789. 38 indexed citations
19.
Mears, Patrick J., et al.. (2009). High-resolution, long-term characterization of bacterial motility using optical tweezers. Nature Methods. 6(11). 831–835. 126 indexed citations
20.
Chubiz, Lon M. & Christopher V. Rao. (2008). Computational design of orthogonal ribosomes. Nucleic Acids Research. 36(12). 4038–4046. 32 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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