Daeik Kim

127 papers receiving 1.4k citations

Peers

Daeik Kim
Comparison fields: 5 of 134
  • Biochemistry 98
  • Industrial and Manufacturing Engineering 132
  • Food Science 210
  • Nutrition and Dietetics 149
  • Electronic, Optical and Magnetic Materials 188
Replace Armando T. Quitain with:
Armando T. Quitain Japan
Dong Li China
Bin Hu China
Eleanor Binner United Kingdom
Hilda Silva Ferreira Brazil
Souad El Hajjaji Morocco
Dorin Boldor United States
Ji‐Yeon Park South Korea
Muhammad Waseem Mumtaz Pakistan
Madalena M. Dias Portugal
Daeik Kim relative to Armando T. Quitain Japan Armando T. Quitain's profile →
Citations per field
00.5×1.7×
Armando T. Quitain · 1×
Citations per year

Countries citing papers authored by Daeik Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daeik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daeik Kim. 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 Daeik Kim. The network helps show where Daeik Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Daeik Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daeik Kim Line = papers co-authored together Daeik Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006127
2 200867
3 200856
4 202054
5 202152
6 201542
7 200839
8 200338
9 200637
10 202232
11 200729
12 200529
13 201928
14
Induction of apoptosis of SW480 human colon cancer cells by (-)-epicatechin isolated from Bulnesia sarmienti.
201228
15 200028
16 201926
17 202025
18 201625
19 201425
20 200825

About Daeik Kim

Daeik Kim is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Food Science, Industrial and Manufacturing Engineering and Water Science and Technology, having authored 136 papers that have together received 1.5k indexed citations. Recurring topics across this work include Food Quality and Safety Studies (16 papers), Phytochemicals and Antioxidant Activities (11 papers), Photonic and Optical Devices (11 papers), Metamaterials and Metasurfaces Applications (8 papers), Adsorption and biosorption for pollutant removal (8 papers), Radio Frequency Integrated Circuit Design (8 papers), Phosphorus and nutrient management (7 papers) and Wastewater Treatment and Nitrogen Removal (7 papers). The work is most often cited by research in Biochemistry (98 citations), Industrial and Manufacturing Engineering (132 citations), Food Science (210 citations), Nutrition and Dietetics (149 citations) and Electronic, Optical and Magnetic Materials (188 citations). Daeik Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Teh Fu Yen, Joon-Seok Park, Kil‐Soo Kim, Jongwon Lee, Ioana G. Petrisor, Inyong Hwang, Joo‐Heon Hong, Runkai Wang, Gerhard Boehm and Jonghae Kim. Their work appears in journals such as Environmental Earth Sciences, Environmental Forensics, Advanced Optical Materials, Inhalation Toxicology and IEEE Electron Device Letters.

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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