Lon M. Chubiz

930 citations
23 papers · 623 · h-index 15

Impact in

    • Antibiotic Resistance in Bacteria
  • Genetics top 10%
    • Evolution and Genetic Dynamics
    • Bacterial Genetics and Biotechnology

Papers in

    • Microbial Metabolic Engineering and Bioproduction 8
    • RNA and protein synthesis mechanisms 5
    • Genomics and Phylogenetic Studies 3
    • CRISPR and Genetic Engineering 3
    • Bacterial Genetics and Biotechnology 8
    • Evolution and Genetic Dynamics 5

Lon M. Chubiz

23 papers receiving 613 citations

Peers

Lon M. Chubiz
Comparison fields: 5 of 81
  • Molecular Medicine 71
  • Genetics 231
  • Endocrinology 36
  • Molecular Biology 323
  • Condensed Matter Physics 53
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Jaime de Anda United States
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Morgane Wartel France
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Lon M. Chubiz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lon M. Chubiz Line = papers co-authored together Lon M. Chubiz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009126
2 201886
3 201648
4 201040
5 201139
6 201236
7 201335
8 201233
9 200832
10 201719
11 201717
12 201617
13 201515
14 201915
15 202314
16 201512
17 20239
18 20208
19 20238
20 20107

About Lon M. Chubiz

Lon M. Chubiz is a scholar working on Molecular Biology, Genetics, Ecology, Atomic and Molecular Physics, and Optics and Biotechnology, having authored 23 papers that have together received 623 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (8 papers), Bacterial Genetics and Biotechnology (8 papers), Evolution and Genetic Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Orbital Angular Momentum in Optics (2 papers). The work is most often cited by research in Molecular Medicine (71 citations), Genetics (231 citations), Endocrinology (36 citations), Molecular Biology (323 citations) and Condensed Matter Physics (53 citations). Lon M. Chubiz has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Christopher V. Rao, Christopher J. Marx, William R. Harcombe, Patrick J. Mears, Yann R. Chemla, Ido Golding, Elizabeth M. Adamowicz, Jeremy M. Chacón, George D. Glekas and Sean M. Carroll. Their work appears in journals such as Journal of Bacteriology, PLoS ONE, Nature Methods, Molecular Biology and Evolution and EcoSal Plus.

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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