Mike S. Son

1.1k total citations
21 papers, 805 citations indexed

About

Mike S. Son is a scholar working on Endocrinology, Molecular Biology and Immunology. According to data from OpenAlex, Mike S. Son has authored 21 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, 10 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Mike S. Son's work include Vibrio bacteria research studies (10 papers), Aquaculture disease management and microbiota (8 papers) and Antibiotic Resistance in Bacteria (7 papers). Mike S. Son is often cited by papers focused on Vibrio bacteria research studies (10 papers), Aquaculture disease management and microbiota (8 papers) and Antibiotic Resistance in Bacteria (7 papers). Mike S. Son collaborates with scholars based in United States, Canada and South Korea. Mike S. Son's co-authors include Tung T. Hoang, Yun Kang, David T. Nguyen, Wallace J. Matthews, Ronald K. Taylor, Christina Megli, Gabriela Kovacikova, Firdausi Qadri, Kyle D. Brumfield and Michael H. Norris and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Mike S. Son

20 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mike S. Son United States 13 422 246 211 206 106 21 805
Timna J.O. Wyckoff United States 11 619 1.5× 151 0.6× 236 1.1× 122 0.6× 116 1.1× 13 934
Kelly M. Colvin United States 8 889 2.1× 209 0.8× 201 1.0× 234 1.1× 79 0.7× 8 1.2k
Laura Martínez‐Solano Spain 8 452 1.1× 132 0.5× 181 0.9× 430 2.1× 70 0.7× 8 1.0k
Jozef Dingemans Belgium 14 513 1.2× 127 0.5× 215 1.0× 191 0.9× 67 0.6× 26 793
Joon‐Hee Lee South Korea 16 701 1.7× 150 0.6× 191 0.9× 202 1.0× 46 0.4× 29 897
Prabhakar Salunkhe Germany 10 392 0.9× 117 0.5× 138 0.7× 193 0.9× 92 0.9× 13 638
Denitsa Eckweiler Germany 16 662 1.6× 192 0.8× 297 1.4× 219 1.1× 35 0.3× 20 912
Helga Mikkelsen United Kingdom 15 830 2.0× 381 1.5× 320 1.5× 301 1.5× 141 1.3× 20 1.2k
Louise Dahl Christensen Denmark 11 998 2.4× 192 0.8× 99 0.5× 285 1.4× 62 0.6× 12 1.3k
Martin G. Lamarche Canada 7 299 0.7× 188 0.8× 182 0.9× 181 0.9× 31 0.3× 8 655

Countries citing papers authored by Mike S. Son

Since Specialization
Citations

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

Fields of papers citing papers by Mike S. Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike S. Son. 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 Mike S. Son. The network helps show where Mike S. Son may publish in the future.

Co-authorship network of co-authors of Mike S. Son

This figure shows the co-authorship network connecting the top 25 collaborators of Mike S. Son. A scholar is included among the top collaborators of Mike S. Son 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 Mike S. Son. Mike S. Son 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.
Son, Mike S., et al.. (2021). Growth and Maintenance of Escherichia coli Laboratory Strains. Current Protocols. 1(1). e20–e20. 62 indexed citations
2.
Brumfield, Kyle D., et al.. (2018). Laboratory Culturing Techniques and Maintenance of Vibrio cholerae. Methods in molecular biology. 1839. 1–9. 1 indexed citations
3.
Brumfield, Kyle D., et al.. (2018). Genotypic and Phenotypic Assays to Distinguish Vibrio cholerae Biotype. Methods in molecular biology. 1839. 11–28. 7 indexed citations
4.
Brumfield, Kyle D., et al.. (2017). Laboratory Techniques Used to Maintain and Differentiate Biotypes of <em>Vibrio cholerae</em> Clinical and Environmental Isolates. Journal of Visualized Experiments. 9 indexed citations
5.
Brumfield, Kyle D., et al.. (2017). Laboratory Techniques Used to Maintain and Differentiate Biotypes of <em>Vibrio cholerae</em> Clinical and Environmental Isolates. Journal of Visualized Experiments. 1 indexed citations
6.
7.
8.
Son, Mike S. & Ronald K. Taylor. (2012). Growth and Maintenance of Escherichia coli Laboratory Strains. Current Protocols in Microbiology. 27(1). Unit 5A.4.–Unit 5A.4.. 14 indexed citations
9.
Son, Mike S. & Ronald K. Taylor. (2011). Vibriocidal Assays to Determine the Antibody Titer of Patient Sera Samples. Current Protocols in Microbiology. 23(1). Unit6A.3–Unit6A.3. 16 indexed citations
10.
Joseph, Patrice, Ronald K. Taylor, Mike S. Son, et al.. (2011). A Novel Method to Determine Immunity to Vibrio Cholerae In A Previously Immunologically-Naïve Population. 1 indexed citations
11.
Son, Mike S., Christina Megli, Gabriela Kovacikova, Firdausi Qadri, & Ronald K. Taylor. (2011). Characterization of Vibrio cholerae O1 El Tor Biotype Variant Clinical Isolates from Bangladesh and Haiti, Including a Molecular Genetic Analysis of Virulence Genes. Journal of Clinical Microbiology. 49(11). 3739–3749. 97 indexed citations
12.
Son, Mike S. & Ronald K. Taylor. (2011). Preparing DNA Libraries for Multiplexed Paired‐End Deep Sequencing for Illumina GA Sequencers. Current Protocols in Microbiology. 20(1). Unit 1E.4–Unit 1E.4. 9 indexed citations
13.
Kang, Yun Chan, Jan Zarzycki‐Siek, Chad B. Walton, et al.. (2010). Correction: Multiple FadD Acyl-CoA Synthetases Contribute to Differential Fatty Acid Degradation and Virulence in Pseudomonas aeruginosa. PLoS ONE. 5(11). 18 indexed citations
14.
Son, Mike S., David T. Nguyen, Yun Kang, & Tung T. Hoang. (2008). Engineering of FRT–lacZ fusion constructs: Induction of the Pseudomonas aeruginosa fadAB1 operon by medium and long chain-length fatty acids. Plasmid. 59(2). 111–118. 10 indexed citations
15.
Kang, Yun, et al.. (2008). Genetic Tools for Allelic Replacement in Burkholderia Species. Applied and Environmental Microbiology. 74(14). 4498–4508. 89 indexed citations
16.
Kang, Yun, David T. Nguyen, Mike S. Son, & Tung T. Hoang. (2008). The Pseudomonas aeruginosa PsrA responds to long-chain fatty acid signals to regulate the fadBA5 β-oxidation operon. Microbiology. 154(6). 1584–1598. 76 indexed citations
17.
Kang, Yun, Mike S. Son, & Tung T. Hoang. (2007). One step engineering of T7-expression strains for protein production: Increasing the host-range of the T7-expression system. Protein Expression and Purification. 55(2). 325–333. 26 indexed citations
18.
Son, Mike S., Wallace J. Matthews, Yun Kang, David T. Nguyen, & Tung T. Hoang. (2007). In Vivo Evidence of Pseudomonas aeruginosa Nutrient Acquisition and Pathogenesis in the Lungs of Cystic Fibrosis Patients. Infection and Immunity. 75(11). 5313–5324. 239 indexed citations
19.
Son, Mike S., et al.. (2003). Mutagenesis of SugE, a small multidrug resistance protein. Biochemical and Biophysical Research Communications. 312(4). 914–921. 29 indexed citations
20.
Chung, Young–Hwa, Hee‐Sook Jun, Mike S. Son, et al.. (2000). Cellular and Molecular Mechanism for Kilham Rat Virus-Induced Autoimmune Diabetes in DR-BB Rats. The Journal of Immunology. 165(5). 2866–2876. 38 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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