Iel Soo Bang

1.5k total citations
33 papers, 1.2k citations indexed

About

Iel Soo Bang is a scholar working on Endocrinology, Food Science and Molecular Biology. According to data from OpenAlex, Iel Soo Bang has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, 14 papers in Food Science and 13 papers in Molecular Biology. Recurrent topics in Iel Soo Bang's work include Salmonella and Campylobacter epidemiology (14 papers), Vibrio bacteria research studies (11 papers) and Bacterial Genetics and Biotechnology (11 papers). Iel Soo Bang is often cited by papers focused on Salmonella and Campylobacter epidemiology (14 papers), Vibrio bacteria research studies (11 papers) and Bacterial Genetics and Biotechnology (11 papers). Iel Soo Bang collaborates with scholars based in South Korea, United States and Germany. Iel Soo Bang's co-authors include John W. Foster, Ferric C. Fang, YongKeun Park, Bae-Hoon Kim, Yong‐Keun Park, Bradley L. Bearson, Lynne A. Becker, Limin Liu, Jonathan S. Stamler and Andrés Vázquez‐Torres and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Iel Soo Bang

33 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iel Soo Bang South Korea 16 394 378 348 333 165 33 1.2k
Minsang Shin South Korea 21 100 0.3× 715 1.9× 276 0.8× 349 1.0× 224 1.4× 75 1.3k
George P. Munson United States 18 227 0.6× 453 1.2× 556 1.6× 374 1.1× 143 0.9× 31 1.3k
Seav‐Ly Tran France 17 110 0.3× 676 1.8× 191 0.5× 156 0.5× 201 1.2× 25 1.0k
Mauricio H. Pontes United States 17 147 0.4× 481 1.3× 199 0.6× 340 1.0× 160 1.0× 23 1.2k
Akinori Kato Japan 15 243 0.6× 632 1.7× 336 1.0× 685 2.1× 191 1.2× 33 1.3k
Maarten Mols Netherlands 15 171 0.4× 915 2.4× 189 0.5× 539 1.6× 231 1.4× 16 1.4k
Fred Long United States 12 312 0.8× 452 1.2× 334 1.0× 107 0.3× 194 1.2× 13 1.1k
Jens Brockmeyer Germany 21 220 0.6× 557 1.5× 350 1.0× 77 0.2× 108 0.7× 49 1.4k
Carol M. Miyamoto Canada 22 111 0.3× 1.1k 3.0× 461 1.3× 312 0.9× 202 1.2× 34 1.4k
Rukhsana Chowdhury India 18 216 0.5× 320 0.8× 421 1.2× 124 0.4× 59 0.4× 35 949

Countries citing papers authored by Iel Soo Bang

Since Specialization
Citations

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

Fields of papers citing papers by Iel Soo Bang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iel Soo Bang. 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 Iel Soo Bang. The network helps show where Iel Soo Bang may publish in the future.

Co-authorship network of co-authors of Iel Soo Bang

This figure shows the co-authorship network connecting the top 25 collaborators of Iel Soo Bang. A scholar is included among the top collaborators of Iel Soo Bang 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 Iel Soo Bang. Iel Soo Bang 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.
Kim, Suhyeon, Jung Sung Kim, Young Hyun Jung, et al.. (2019). Transcriptomic Identification and Biochemical Characterization of HmpA, a Nitric Oxide Dioxygenase, Essential for Pathogenesis of Vibrio vulnificus. Frontiers in Microbiology. 10. 2208–2208. 8 indexed citations
2.
3.
Park, Soon‐Nang, Yun Kyong Lim, Mi‐Hwa Choi, et al.. (2017). Antimicrobial Mechanism of Oleanolic and Ursolic Acids on Streptococcus mutans UA159. Current Microbiology. 75(1). 11–19. 24 indexed citations
4.
5.
Lee, Hwa Jeong, Jae‐Ho Jeong, Joong‐Ki Kook, et al.. (2015). Branched-chain amino acid supplementation promotes aerobic growth of Salmonella Typhimurium under nitrosative stress conditions. Archives of Microbiology. 197(10). 1117–1127. 8 indexed citations
6.
Yoon, Hyo‐Eun, et al.. (2013). Agr function is upregulated by photodynamic therapy for Staphylococcus aureus and is related to resistance to photodynamic therapy. Microbiology and Immunology. 57(8). 547–552. 15 indexed citations
7.
8.
Kim, Jin Seok, Bae-Hoon Kim, So Young Yoo, et al.. (2013). Enhancement of Host Immune Responses by Oral Vaccination to Salmonella enterica serovar Typhimurium Harboring Both FliC and FljB Flagella. PLoS ONE. 8(9). e74850–e74850. 24 indexed citations
9.
Kim, Jin Seok, et al.. (2012). Expression and delivery of tetanus toxin fragment C fused to the N‐terminal domain of SipB enhances specific immune responses in mice. Microbiology and Immunology. 56(9). 595–604. 6 indexed citations
10.
Karlinsey, Joyce E., Iel Soo Bang, Lynne A. Becker, et al.. (2012). The NsrR regulon in nitrosative stress resistance of Salmonella enterica serovar Typhimurium. Molecular Microbiology. 85(6). 1179–1193. 64 indexed citations
11.
Kim, Jin Seok, et al.. (2012). Effect of iacP Mutation on Flagellar Phase Variation in Salmonella enterica Serovar Typhimurium Strain UK-1. Journal of Bacteriology. 194(16). 4332–4341. 6 indexed citations
12.
Kim, Jin Seok, et al.. (2011). Role of Salmonella Pathogenicity Island 1 Protein IacP in Salmonella enterica Serovar Typhimurium Pathogenesis. Infection and Immunity. 79(4). 1440–1450. 18 indexed citations
13.
Joung, Young Hee, et al.. (2011). Nitrosative stress causes amino acid auxotrophy in hmp mutant Salmonella Typhimurium. Microbiology and Immunology. 55(10). 743–747. 7 indexed citations
14.
Park, Jong‐Hwan, Iel Soo Bang, Yong‐Chul Kim, et al.. (2010). Antimicrobial effect of photodynamic therapy using a highly pure chlorin e6. Lasers in Medical Science. 25(5). 705–710. 64 indexed citations
15.
Muller, Cécile, Iel Soo Bang, Jyoti Velayudhan, et al.. (2009). Acid stress activation of the σE stress response in Salmonella enterica serovar Typhimurium. Molecular Microbiology. 71(5). 1228–1238. 40 indexed citations
16.
Koh, Eui Kwan, et al.. (2008). A 60-Hz sinusoidal magnetic field induces apoptosis of prostate cancer cells through reactive oxygen species. International Journal of Radiation Biology. 84(11). 945–955. 69 indexed citations
17.
Becker, Lynne A., et al.. (2005). The alternative sigma factor σE is required for resistance of Salmonella enterica serovar Typhimurium to anti‐microbial peptides. Molecular Microbiology. 56(3). 789–799. 57 indexed citations
18.
Bang, Iel Soo, Jonathan G. Frye, Michael McClelland, Jyoti Velayudhan, & Ferric C. Fang. (2005). Alternative sigma factor interactions in Salmonella: σE and σH promote antioxidant defences by enhancing σS levels. Molecular Microbiology. 56(3). 811–823. 81 indexed citations
19.
Kim, Bae-Hoon, et al.. (2001). Expression of cspH , Encoding the Cold Shock Protein in Salmonella enterica Serovar Typhimurium UK-1. Journal of Bacteriology. 183(19). 5580–5588. 17 indexed citations
20.
Park, Yong‐Keun, et al.. (1996). Internal pH crisis, lysine decarboxylase and the acid tolerance response of Salmonella typhimurium. Molecular Microbiology. 20(3). 605–611. 153 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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