Sang‐Jin Suh

776 total citations
33 papers, 587 citations indexed

About

Sang‐Jin Suh is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Sang‐Jin Suh has authored 33 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Biomedical Engineering. Recurrent topics in Sang‐Jin Suh's work include Bacterial biofilms and quorum sensing (11 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacterial Genetics and Biotechnology (7 papers). Sang‐Jin Suh is often cited by papers focused on Bacterial biofilms and quorum sensing (11 papers), Antibiotic Resistance in Bacteria (7 papers) and Bacterial Genetics and Biotechnology (7 papers). Sang‐Jin Suh collaborates with scholars based in United States, Belgium and Egypt. Sang‐Jin Suh's co-authors include Dennis E. Ohman, Laura Silo-Suh, Pamela A. Sokol, Barton C. Prorok, Grace M. Hwang, Paul V. Phibbs, Dawn M. Boothe, Håvard Sletta, Helga Ertesvåg and Sumita Jain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Sang‐Jin Suh

32 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Jin Suh United States 13 348 146 119 96 75 33 587
Gregory B. Whitfield Canada 15 630 1.8× 121 0.8× 149 1.3× 56 0.6× 100 1.3× 31 854
Ali Tahrioui France 16 380 1.1× 99 0.7× 93 0.8× 38 0.4× 85 1.1× 35 540
Dustin J. Little Canada 17 516 1.5× 52 0.4× 142 1.2× 43 0.4× 109 1.5× 23 792
Patrick Yip Canada 13 448 1.3× 41 0.3× 83 0.7× 27 0.3× 39 0.5× 18 608
Davide Antoniani Italy 9 405 1.2× 71 0.5× 101 0.8× 49 0.5× 111 1.5× 10 616
Morten Harmsen Denmark 5 491 1.4× 99 0.7× 70 0.6× 74 0.8× 122 1.6× 6 644
Pertti Koski Finland 15 409 1.2× 107 0.7× 242 2.0× 49 0.5× 58 0.8× 18 790
Heather L. Rocchetta Canada 8 449 1.3× 115 0.8× 186 1.6× 69 0.7× 95 1.3× 11 725
Nigel Halliday United Kingdom 19 650 1.9× 225 1.5× 156 1.3× 76 0.8× 101 1.3× 43 928
Sophie Brameyer Germany 16 491 1.4× 34 0.2× 182 1.5× 49 0.5× 92 1.2× 28 772

Countries citing papers authored by Sang‐Jin Suh

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Jin Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Jin Suh. 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 Sang‐Jin Suh. The network helps show where Sang‐Jin Suh may publish in the future.

Co-authorship network of co-authors of Sang‐Jin Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Jin Suh. A scholar is included among the top collaborators of Sang‐Jin Suh 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 Sang‐Jin Suh. Sang‐Jin Suh 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.
2.
Silo-Suh, Laura, et al.. (2020). Efficient affinity-tagging of M13 phage capsid protein IX for immobilization of protein III-displayed oligopeptide probes on abiotic platforms. Applied Microbiology and Biotechnology. 104(3). 1201–1209. 5 indexed citations
3.
El‐Badawy, Omnia, et al.. (2018). Patterns of Fluoroquinolone Resistance in Enterobacteriaceae Isolated from the Assiut University Hospitals, Egypt: A Comparative Study. Microbial Drug Resistance. 25(4). 509–519. 11 indexed citations
4.
Zeng, Yuan, Xing Ping Hu, Guanqun Cao, & Sang‐Jin Suh. (2018). Hemolymph protein profiles of subterranean termite Reticulitermes flavipes challenged with methicillin resistant Staphylococcus aureus or Pseudomonas aeruginosa. Scientific Reports. 8(1). 13251–13251. 2 indexed citations
5.
Suh, Sang‐Jin, et al.. (2016). BEEP: An assay to detect bio-energetic and envelope permeability alterations in Pseudomonas aeruginosa. Journal of Microbiological Methods. 125. 81–86. 5 indexed citations
6.
Zeng, Yuan, Xing Ping Hu, & Sang‐Jin Suh. (2016). Characterization of Antibacterial Activities of Eastern Subterranean Termite, Reticulitermes flavipes, against Human Pathogens. PLoS ONE. 11(9). e0162249–e0162249. 10 indexed citations
7.
Dai, Jing, Sang‐Jin Suh, Morgan Hamon, & Jong Wook Hong. (2015). Determination of antibiotic EC50 using a zero‐flow microfluidic chip based growth phenotype assay. Biotechnology Journal. 10(11). 1783–1791. 22 indexed citations
8.
Horikawa, Shin, Yating Chai, Howard Clyde Wikle, et al.. (2015). Direct Detection of Salmonella on Fresh Produce. ECS Transactions. 69(38). 25–31. 8 indexed citations
9.
Suh, Sang‐Jin, et al.. (2014). Development of Stress Scale for Physical Education Highschool Students. 25(2). 105–118. 1 indexed citations
10.
Suh, Sang‐Jin, et al.. (2014). Development of Stress Scale for Physical Education Highschool Students. 25(2). 105–118. 4 indexed citations
11.
Suh, Sang‐Jin, et al.. (2012). Molecular mechanisms of antimicrobial resistance in fecal Escherichia coli of healthy dogs after enrofloxacin or amoxicillin administration. Canadian Journal of Microbiology. 58(11). 1288–1294. 23 indexed citations
12.
Murphy, John F., et al.. (2011). Electroporetic transfection of pepper protoplasts with plant potyviruses. Journal of Virological Methods. 179(1). 154–160. 2 indexed citations
13.
Park, Hoon, et al.. (2009). Investigation of Functional Ingredients from Onion According to the Extraction Methods, Heat Treatment, and Storage Period. Food Engineering Progress. 13(2). 92–98. 7 indexed citations
14.
Silo-Suh, Laura, et al.. (2009). Isolation, characterization, and utilization of a temperature-sensitive allele of a Pseudomonas replicon. Journal of Microbiological Methods. 78(3). 319–324. 14 indexed citations
15.
Hwang, Grace M., et al.. (2009). Recent advances in peptide probe-based biosensors for detection of infectious agents. Journal of Microbiological Methods. 78(1). 10–19. 70 indexed citations
16.
Suh, Sang‐Jin, et al.. (2005). Degradation and synthesis kinetics of quorum-sensing autoinducer in Pseudomonas aeruginosa cultivation. Journal of Biotechnology. 117(1). 1–10. 19 indexed citations
17.
Silo-Suh, Laura, Sang‐Jin Suh, Paul V. Phibbs, & Dennis E. Ohman. (2005). Adaptations of Pseudomonas aeruginosa to the Cystic Fibrosis Lung Environment Can Include Deregulation of zwf , Encoding Glucose-6-Phosphate Dehydrogenase. Journal of Bacteriology. 187(22). 7561–7568. 50 indexed citations
18.
Suh, Sang‐Jin, Laura Silo-Suh, & Dennis E. Ohman. (2004). Development of tools for the genetic manipulation of Pseudomonas aeruginosa. Journal of Microbiological Methods. 58(2). 203–212. 38 indexed citations
19.
Silo-Suh, Laura, Sang‐Jin Suh, Pamela A. Sokol, & Dennis E. Ohman. (2002). A simple alfalfa seedling infection model for Pseudomonas aeruginosa strains associated with cystic fibrosis shows AlgT (sigma-22) and RhlR contribute to pathogenesis. Proceedings of the National Academy of Sciences. 99(24). 15699–15704. 58 indexed citations
20.
Suh, Sang‐Jin, et al.. (2001). Isolation of a Unique Membrane Protein from Naegleria fowleri. Journal of Eukaryotic Microbiology. 48(6). 676–682. 23 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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