Yang-Bong Lee

681 total citations
51 papers, 522 citations indexed

About

Yang-Bong Lee is a scholar working on Food Science, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Yang-Bong Lee has authored 51 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Food Science, 17 papers in Animal Science and Zoology and 14 papers in Molecular Biology. Recurrent topics in Yang-Bong Lee's work include Meat and Animal Product Quality (16 papers), Food Quality and Safety Studies (14 papers) and Aquaculture Nutrition and Growth (9 papers). Yang-Bong Lee is often cited by papers focused on Meat and Animal Product Quality (16 papers), Food Quality and Safety Studies (14 papers) and Aquaculture Nutrition and Growth (9 papers). Yang-Bong Lee collaborates with scholars based in South Korea and United States. Yang-Bong Lee's co-authors include Seon‐Bong Kim, Suengmok Cho, Byung‐Soo Chun, Min‐Hee Nam, Eui‐Cheol Shin, Raju Ahmed, Yeon‐Jin Cho, Adane Tilahun Getachew, Periaswamy Sivagnanam Saravana and Dae-Wook Kim and has published in prestigious journals such as Bioresource Technology, Food Hydrocolloids and Food Research International.

In The Last Decade

Yang-Bong Lee

43 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang-Bong Lee South Korea 12 189 161 133 123 79 51 522
Lingzhao Wang China 9 169 0.9× 168 1.0× 97 0.7× 113 0.9× 61 0.8× 16 558
S. Mamot Malaysia 11 124 0.7× 214 1.3× 74 0.6× 45 0.4× 152 1.9× 17 542
Najmeh Oliyaei Iran 13 99 0.5× 158 1.0× 43 0.3× 124 1.0× 180 2.3× 30 499
Yaqiong Liu China 15 172 0.9× 220 1.4× 164 1.2× 67 0.5× 34 0.4× 33 618
Daniel Castañeda‐Valbuena Mexico 11 282 1.5× 115 0.7× 52 0.4× 60 0.5× 36 0.5× 17 515
Zamantha Escobedo‐Avellaneda Mexico 17 95 0.5× 361 2.2× 97 0.7× 37 0.3× 42 0.5× 36 737
Gholamhassan Asadi Iran 13 67 0.4× 178 1.1× 37 0.3× 85 0.7× 22 0.3× 44 405
Papassara Sangtanoo Thailand 19 520 2.8× 114 0.7× 78 0.6× 34 0.3× 106 1.3× 35 795
Ghada Ksouda Tunisia 7 89 0.5× 178 1.1× 39 0.3× 62 0.5× 144 1.8× 7 418
Monika Marcinkowska‐Lesiak Poland 15 88 0.5× 222 1.4× 252 1.9× 60 0.5× 15 0.2× 41 544

Countries citing papers authored by Yang-Bong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yang-Bong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang-Bong Lee. 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 Yang-Bong Lee. The network helps show where Yang-Bong Lee may publish in the future.

Co-authorship network of co-authors of Yang-Bong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yang-Bong Lee. A scholar is included among the top collaborators of Yang-Bong Lee 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 Yang-Bong Lee. Yang-Bong Lee 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.
Seo, Yong Soo, et al.. (2024). Determination of steviol glycosides in commercial Soju using UPLC-TQ-MS/MS with product ion confirmation scan (PICS) mode. Journal of Food Composition and Analysis. 135. 106660–106660.
2.
Seo, Yong Soo, et al.. (2024). Application of static headspace GC–MS for detection of residual trichloroethylene and toluene solvents in β-cyclodextrin. Food Research International. 197(Pt 2). 115292–115292.
3.
4.
5.
Hong, Seong Jun, et al.. (2023). HPLC Improvement for Spiciness Detection in Paprika Oleoresin. Journal of the Korean Society of Food Science and Nutrition. 52(3). 336–340.
6.
Cho, Suengmok, et al.. (2023). Application of Static Headspace GC-MS Method for Selective 1,4-Dioxane Detection in Food Additives. Foods. 12(17). 3299–3299. 1 indexed citations
7.
Yang, Ji‐Young, et al.. (2022). Comparison of Extraction Methods and Extraction Optimization in Aqueous Two-Phase System for Ethyl Carbamate Analysis in Model Systems for Maesil Wine. Preventive Nutrition and Food Science. 27(2). 234–240. 2 indexed citations
8.
Lee, Seung-Min, et al.. (2019). Identification of Headspace Volatile Compounds of Blended Coffee and Application to Principal Component Analysis. Preventive Nutrition and Food Science. 24(2). 217–223. 10 indexed citations
9.
Kim, Dae-Wook, et al.. (2016). Physiochemical Changes and Optimization of Phosphate-Treated Shrimp (Litopenaeus vannamei) Using Response Surface Methodology. Preventive Nutrition and Food Science. 21(1). 44–51. 4 indexed citations
10.
Park, Jin-Yong, et al.. (2014). Headspace Volatile Compounds of Steamed Liriopis Tuber Tea Affected by Steaming Frequency. Preventive Nutrition and Food Science. 19(4). 314–320. 10 indexed citations
11.
Shin, Eui‐Cheol, et al.. (2012). Chemometric Approach to Fatty Acid Profiles in Soybean Cultivars by Principal Component Analysis (PCA). Preventive Nutrition and Food Science. 17(3). 184–191. 27 indexed citations
12.
Eom, Sung‐Hwan, et al.. (2012). Removal of off-flavors from sea tangle (Laminaria japonica) extract by fermentation with Aspergillus oryzae. Bioresource Technology. 121. 475–479. 37 indexed citations
13.
Ji, Cheong‐Il, et al.. (2007). Sphericity Optimization of Calcium Alginate Gel Beads and the Effects of Processing Conditions on Their Physical Properties. Food Science and Biotechnology. 16(5). 715–721. 19 indexed citations
14.
Do, Jeong‐Ryong, et al.. (2007). Optimization of Enzymatic Hydrolysis Conditions for Production of Angiotensin-I Converting Enzyme Inhibitory Peptide from Casein. Food Science and Biotechnology. 16(4). 565–571. 5 indexed citations
15.
Lee, Yang-Bong, et al.. (2005). Changes in an Ammonia-like Odor and Chondroitin Sulfate Contents of Enzymatic Hydrolysates from Longnose Skate (Rasa rhina) Cartilage as Affected by Pretreatment Methods. Food Science and Biotechnology. 14(5). 645–650. 4 indexed citations
16.
Lee, Yang-Bong, et al.. (2005). Optimization of Pine Flavor Microencapsulation by Spray Drying. Food Science and Biotechnology. 14(6). 747–751. 10 indexed citations
17.
Cho, Yong‐Bum, et al.. (2004). Effect of Adding Freeze-Dried Kimchi Powder on Flavor and Taste of Kimchi Snacks. Korean Journal of Food Science and Technology. 36(6). 919–923. 5 indexed citations
18.
Cho, Yong‐Bum, et al.. (2002). Analysis of Volatile Compounds in Kimchi-Flavored Steak Sauce. Korean Journal of Food Science and Technology. 34(3). 351–355. 7 indexed citations
19.
Lee, Mi‐Jung, et al.. (1999). A Comparison of Volatile Compounds in Pine Extracts Obtained by Supercritical Fluid Extraction with Those by Simultaneous Steam Distillation and Solvent Extraction. Korean Journal of Food Science and Technology. 31(5). 1268–1274. 5 indexed citations
20.
Lee, Yang-Bong & Charles V. Morr. (1995). Headspace Volatile Compounds of Whey Protein Concentrate Subjected to an Accelerated Storate Condition. Food Science and Biotechnology. 4(4). 249–252. 1 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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