Joo Won Suh

631 total citations
26 papers, 489 citations indexed

About

Joo Won Suh is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Joo Won Suh has authored 26 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Plant Science and 7 papers in Pharmacology. Recurrent topics in Joo Won Suh's work include Microbial Natural Products and Biosynthesis (4 papers), Probiotics and Fermented Foods (4 papers) and Plant Disease Resistance and Genetics (4 papers). Joo Won Suh is often cited by papers focused on Microbial Natural Products and Biosynthesis (4 papers), Probiotics and Fermented Foods (4 papers) and Plant Disease Resistance and Genetics (4 papers). Joo Won Suh collaborates with scholars based in South Korea, United States and Sri Lanka. Joo Won Suh's co-authors include Ying‐Yu Jin, Yong‐Gyun Jung, R. Jayabalan, Eldin M. Johnson, Ji Yeon Yang, Sasikumar Arunachalam Palaniyandi, Karthiyaini Damodharan, In‐Wook Choi, Seung Hwan Yang and Dong Uk Ahn and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Joo Won Suh

25 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joo Won Suh South Korea 13 234 217 113 63 54 26 489
Yuko Shimamura Japan 16 215 0.9× 281 1.3× 107 0.9× 72 1.1× 83 1.5× 55 661
Seham Abdel-Shafi Egypt 13 184 0.8× 202 0.9× 155 1.4× 68 1.1× 40 0.7× 33 539
Mickaël Chevalier France 13 237 1.0× 164 0.8× 73 0.6× 41 0.7× 52 1.0× 16 449
Srichandan Padhi India 18 407 1.7× 266 1.2× 123 1.1× 75 1.2× 68 1.3× 35 732
Francesca Maggio Italy 12 116 0.5× 281 1.3× 129 1.1× 39 0.6× 84 1.6× 24 452
Sandrine Rival France 9 464 2.0× 166 0.8× 67 0.6× 81 1.3× 48 0.9× 10 722
Young Tae Hahm South Korea 11 353 1.5× 223 1.0× 101 0.9× 45 0.7× 91 1.7× 30 619
Hanan Hasan Malaysia 12 219 0.9× 157 0.7× 56 0.5× 37 0.6× 95 1.8× 36 481
Ines Karray‐Rebai Tunisia 10 178 0.8× 166 0.8× 90 0.8× 48 0.8× 81 1.5× 14 412
Maurício Afonso Verícimo Brazil 14 114 0.5× 126 0.6× 70 0.6× 51 0.8× 35 0.6× 38 447

Countries citing papers authored by Joo Won Suh

Since Specialization
Citations

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

Fields of papers citing papers by Joo Won Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo Won 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 Joo Won Suh. The network helps show where Joo Won Suh may publish in the future.

Co-authorship network of co-authors of Joo Won Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Joo Won Suh. A scholar is included among the top collaborators of Joo Won 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 Joo Won Suh. Joo Won 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
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Chu, Ki‐Back, Hae‐Ji Kang, Su‐Hwa Lee, et al.. (2020). Orally administered recombinant baculovirus vaccine elicits partial protection against avian influenza virus infection in mice. Microbial Pathogenesis. 149. 104495–104495. 3 indexed citations
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Song, Minah, Hui Jin, Young Ho Koh, et al.. (2019). Evaluating the Memory Enhancing Effects of Angelica gigas in Mouse Models of Mild Cognitive Impairments. Nutrients. 12(1). 97–97. 13 indexed citations
5.
Kim, Mia, et al.. (2018). Woohwangcheongsimwon Prevents High-Fat Diet-Induced Memory Deficits and Induces SIRT1 in Mice. Journal of Medicinal Food. 21(2). 167–173. 7 indexed citations
6.
Damodharan, Karthiyaini, Sasikumar Arunachalam Palaniyandi, Seung Hwan Yang, & Joo Won Suh. (2017). Co-encapsulation of lactic acid bacteria and prebiotic with alginate-fenugreek gum-locust bean gum matrix: Viability of encapsulated bacteria under simulated gastrointestinal condition and during storage time. Biotechnology and Bioprocess Engineering. 22(3). 265–271. 35 indexed citations
7.
Panthi, Sandesh, Yun‐Hee Choi, Jun‐Pil Jee, et al.. (2017). Antimicrobial Peptide from Bacillus Strain K1R Exhibits Ameliorative Potential Against Vancomycin-Resistant Enterococcus Group of Organisms. International Journal of Peptide Research and Therapeutics. 23(4). 419–430. 3 indexed citations
8.
Choi, Yoon Seok, Yun‐Hee Choi, Young Kyun Kim, et al.. (2017). Antimicrobial peptide from Bacillus subtilis CSB138: characterization, killing kinetics, and synergistic potency.. PubMed. 20(1). 43–53. 25 indexed citations
9.
Choi, Yun‐Hee, Yoon Seok Choi, Mi Ri Kim, et al.. (2016). Anti-inflammatory function of 4-tert-butylphenyl salicylate through down-regulation of the NF-kappa B pathway. Archives of Pharmacal Research. 39(3). 429–436. 6 indexed citations
10.
Samaraweera, Himali, Sun Hee Moon, Eun Joo Lee, et al.. (2014). Characterisation of phosvitin phosphopeptides using MALDI-TOF mass spectrometry. Food Chemistry. 165. 98–103. 15 indexed citations
11.
Lee, Hyun‐Yong, E.D.N.S. Abeyrathne, In‐Wook Choi, Joo Won Suh, & Dong Uk Ahn. (2014). Sequential separation of immunoglobulin Y and phosvitin from chicken egg yolk without using organic solvents. Poultry Science. 93(10). 2668–2677. 35 indexed citations
12.
Kim, Jongwoo, Soo‐Jin Park, Jong‐Hwan Lim, et al.. (2013). Triterpenoid Saponins Isolated fromPlatycodon grandiflorumInhibit Hepatitis C Virus Replication. Evidence-based Complementary and Alternative Medicine. 2013. 1–11. 27 indexed citations
13.
Suh, Joo Won, et al.. (2013). Constituents of volatile compounds derived from Melaleuca alternifolia leaf oil and acaricidal toxicities against house dust mites. Journal of the Korean Society for Applied Biological Chemistry. 56(1). 91–94. 34 indexed citations
14.
Lee, Sang Il, et al.. (2012). Antioxidative Activity of Smilax china L. Leaf Teas Fermented by Different Strains. The Korean Journal of Food And Nutrition. 25(4). 807–819. 4 indexed citations
15.
Park, Soo‐Jin, Jong‐Hwan Lim, Jae Won Yang, et al.. (2011). Triterpenoids from Platycodon grandiflorum Inhibit Hepatitis C Virus Replication. Antiviral Research. 90(2). A61–A62. 1 indexed citations
16.
Kim, Won‐Gon, et al.. (2006). Talosins A and B: New Isoflavonol Glycosides with Potent Antifungal Activity from Kitasatospora kifunensis MJM341. The Journal of Antibiotics. 59(10). 640–645. 25 indexed citations
17.
Kim, Jong Woo, et al.. (2006). Talosins A and B: New Isoflavonol Glycosides with Potent Antifungal Activity from Kitasatospora kifunensis MJM341. The Journal of Antibiotics. 59(10). 633–639. 22 indexed citations
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Kang, Choong Min, et al.. (2003). Isolation and characterization of bluensomycin biosynthetic genes from Streptomyces bluensis. FEMS Microbiology Letters. 219(2). 285–289. 7 indexed citations
20.
Rhee, Sang Ki, et al.. (1998). Rapid and Efficient Isolation of Genes for Biosynthesis of Peptide Antibiotics from Gram-positive Bacterial Strains. Journal of Microbiology and Biotechnology. 8(4). 310–317. 2 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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