Su‐Myeong Hong

447 total citations
59 papers, 367 citations indexed

About

Su‐Myeong Hong is a scholar working on Food Science, Insect Science and Pollution. According to data from OpenAlex, Su‐Myeong Hong has authored 59 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Food Science, 24 papers in Insect Science and 19 papers in Pollution. Recurrent topics in Su‐Myeong Hong's work include Pesticide Residue Analysis and Safety (36 papers), Insect and Pesticide Research (24 papers) and Pesticide and Herbicide Environmental Studies (15 papers). Su‐Myeong Hong is often cited by papers focused on Pesticide Residue Analysis and Safety (36 papers), Insect and Pesticide Research (24 papers) and Pesticide and Herbicide Environmental Studies (15 papers). Su‐Myeong Hong collaborates with scholars based in South Korea, Japan and Egypt. Su‐Myeong Hong's co-authors include Hyeyoung Kwon, Geon‐Jae Im, Namjun Cho, Doo-Ho Kim, Jae‐Han Shim, Byung‐Jun Park, Ho‐Chul Shin, Jun Wang, Chulkyoon Mok and A.M. Abd El‐Aty and has published in prestigious journals such as Food Chemistry, Environmental Pollution and Journal of Food Protection.

In The Last Decade

Su‐Myeong Hong

45 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su‐Myeong Hong South Korea 12 246 117 112 84 76 59 367
Geon‐Jae Im South Korea 12 250 1.0× 118 1.0× 150 1.3× 137 1.6× 74 1.0× 58 413
Hanzhong Xie China 12 195 0.8× 181 1.5× 105 0.9× 124 1.5× 73 1.0× 31 425
Natalia Besil Uruguay 13 270 1.1× 123 1.1× 173 1.5× 90 1.1× 110 1.4× 26 453
Tae Woong Na South Korea 13 219 0.9× 79 0.7× 116 1.0× 120 1.4× 100 1.3× 28 409
Magdalena Słowik‐Borowiec Poland 13 348 1.4× 197 1.7× 140 1.3× 98 1.2× 113 1.5× 50 512
Zhengyun Lou China 13 273 1.1× 118 1.0× 113 1.0× 88 1.0× 137 1.8× 27 449
Chengkui Qiao China 11 145 0.6× 179 1.5× 78 0.7× 82 1.0× 55 0.7× 37 381
Pengqiang Du China 15 123 0.5× 172 1.5× 101 0.9× 194 2.3× 48 0.6× 24 454
Marı́a-Teresa Martínez-Soria Spain 13 208 0.8× 90 0.8× 70 0.6× 92 1.1× 100 1.3× 22 351
Narong Chamkasem United States 11 231 0.9× 116 1.0× 68 0.6× 136 1.6× 137 1.8× 19 433

Countries citing papers authored by Su‐Myeong Hong

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Myeong Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Myeong Hong. 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 Su‐Myeong Hong. The network helps show where Su‐Myeong Hong may publish in the future.

Co-authorship network of co-authors of Su‐Myeong Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Myeong Hong. A scholar is included among the top collaborators of Su‐Myeong Hong 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 Su‐Myeong Hong. Su‐Myeong Hong 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, Sam Churl, et al.. (2024). Dietary exposure assessment of mineral and trihalomethane in the major Korean seaweeds. Journal of Applied Biological Chemistry. 67.
2.
Jang, Yu‐Sin, et al.. (2019). Chlorfenapyr Residue in Sweet Persimmon from Farm to Table. Journal of Food Protection. 82(5). 810–814. 13 indexed citations
3.
Hong, Su‐Myeong, et al.. (2018). Study of Coidentity Verification of Pesticide Products and Active Ingredients through FT-NIR and FT-IR. The Korean Journal of Pesticide Science. 22(4). 337–344. 1 indexed citations
4.
Hong, Su‐Myeong, et al.. (2018). Identification and characterization of matrix components in spinach during QuEChERS sample preparation for pesticide residue analysis by LC–ESI–MS/MS, GC–MS and UPLC-DAD. Journal of Food Science and Technology. 55(10). 3930–3938. 23 indexed citations
5.
Kim, Jong-Hwan, et al.. (2016). Development of Analytical Reference Material for Proficiency Test of Pesticide Multi-residue Analysis in Tomato. Korean Journal of Environmental Agriculture. 35(3). 223–233. 3 indexed citations
6.
Rahman, Md. Musfiqur, A.M. Abd El‐Aty, Sung Woo Kim, et al.. (2016). A simple extraction method for the detection and quantification of polyoxin D, a nucleoside antibiotic, in butterbur using UPLC-MS/MS. Food Chemistry. 221. 683–688. 8 indexed citations
7.
Kwon, Hyeyoung, et al.. (2016). Comparison of Pesticide Residue Amounts in Apple Trees Applied by Different Sprayers and Spray Volumes. The Korean Journal of Pesticide Science. 20(3). 264–270. 4 indexed citations
8.
Hong, Su‐Myeong, et al.. (2014). Multiresidue Analysis of 124 Pesticides in Soils with QuEChERS extraction and LC-MS/MS. The Korean Journal of Pesticide Science. 18(4). 296–313. 5 indexed citations
9.
Hong, Su‐Myeong, et al.. (2014). Residual Characteristics of a Systemic Insecticide Flonicamid and Its Metabolites in Sweet Pepper. The Korean Journal of Pesticide Science. 18(4). 228–235. 2 indexed citations
10.
Hong, Su‐Myeong, et al.. (2013). Multi-residue Pesticide Analysis in Cereal using Modified QuEChERS Samloe Preparation Method. The Korean Journal of Pesticide Science. 17(4). 314–334. 3 indexed citations
11.
Kwon, Hyeyoung, et al.. (2013). Removal of Pesticide Residues in Field-sprayed Leafy Vegetables by Different Washing Method. The Korean Journal of Pesticide Science. 17(4). 237–243. 15 indexed citations
12.
Kim, Jin‐Bae, et al.. (2013). Proficiency Testing for the Gas-chromatographic Analysis of Procymidone, Chlorpyrifos and Metolachlor Residues in Soil. The Korean Journal of Pesticide Science. 17(2). 94–106.
13.
Hong, Su‐Myeong, et al.. (2012). Modified QuEChERS Multi-Residue Analysis Method for 61 pesticides in Fruits using with HPLC and GC-ECD/NPD. The Korean Journal of Pesticide Science. 16(3). 242–256. 4 indexed citations
14.
Hong, Su‐Myeong, et al.. (2012). Analysis of Pesticide residues in brown rice using modified QuEChERS multiresidue method combined with electrospray ionization-liquid chromatography-tandem mass spectrometric detection. Journal of the Korean Society for Applied Biological Chemistry. 55(6). 769–775. 21 indexed citations
15.
Choi, Geun‐Hyoung, et al.. (2011). Quantitative Analysis of Residual 24 Organochlorine POPs in Sundried Salts. 15(4). 502–506. 1 indexed citations
16.
Lee, Ju Young, et al.. (2011). Development and validation of a quick easy cheap effective rugged and safe-based multi-residues analysis method for persimmon, grape and pear using liquid chromatography-tandem mass spectrometry. Journal of the Korean Society for Applied Biological Chemistry. 54(5). 771–777. 11 indexed citations
17.
18.
Park, Byung‐Jun, et al.. (2010). Probabilistic Approach on Dietary Exposure Assessment of Neonicotinoid Pesticide Residues in Fruit Vegetables. 14(2). 110–115. 1 indexed citations
19.
Park, Byung‐Jun, et al.. (2010). Monitoring of Neonicotinoid Pesticide Residues in Fruit Vegetable and Human Exposure Assessment. 14(2). 104–109. 6 indexed citations
20.
Hong, Su‐Myeong, et al.. (2003). Comparison of PCB Congener Profile in tissues of Steller Sea Lion from the Alaska. 227–227.

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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