Jae-Eung Kim

408 citations
7 papers · 311 · h-index 6

Impact in

    • Plant biochemistry and biosynthesis
    • Microbial Metabolic Engineering and Bioproduction
    • Enzyme Catalysis and Immobilization
    • Photosynthetic Processes and Mechanisms
    • Fungal and yeast genetics research

Papers in

    • Plant biochemistry and biosynthesis 3
    • Microbial Metabolic Engineering and Bioproduction 3
    • Fungal and yeast genetics research 2
    • Ginseng Biological Effects and Applications 1
    • Photosynthetic Processes and Mechanisms 1
    • Enzyme Catalysis and Immobilization 1
    • Biofuel production and bioconversion 2

Jae-Eung Kim

7 papers receiving 310 citations

Peers

Jae-Eung Kim
Comparison fields: 5 of 39
  • Molecular Biology 288
  • Biotechnology 35
  • Pharmacology 32
  • Pharmacology 58
  • Biochemistry 21
Replace Wenyu Lu with:
Wenyu Lu China
Lijin Duan China
Jucan Gao China
Beata Joanna Lehka Denmark
Monireh Marsafari United States
Jonathon Roepke Canada
Guang-Rong Zhao China
Michael Eichenberger Germany
Xiumei Meng China
Jae-Eung Kim relative to Wenyu Lu China Wenyu Lu's profile →
Citations per field
00.5×1.7×
Wenyu Lu · 1×
Citations per year

Countries citing papers authored by Jae-Eung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Eung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Jae-Eung 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 Jae-Eung Kim Line = papers co-authored together Jae-Eung Kim links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2019147
2 201855
3 202242
4 202027
5 202220
6 202217
7 20253

About Jae-Eung Kim

Jae-Eung Kim is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Cell Biology and Biotechnology, having authored 7 papers that have together received 311 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Fungal and yeast genetics research (2 papers), Biofuel production and bioconversion (2 papers), Ginseng Biological Effects and Applications (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Enzyme Catalysis and Immobilization (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Molecular Biology (288 citations), Biotechnology (35 citations), Pharmacology (32 citations), Pharmacology (58 citations) and Biochemistry (21 citations). Jae-Eung Kim has collaborated with scholars based in South Korea and Sudan. Frequent co-authors include Ju Young Lee, Sohee Son, Sun Chang Kim, Young‐Joon Ko, Byung‐Kwan Cho, Bong Hyun Sung, Seung Soo Oh, Cheol Woong Ha, Hye-Min Park and Seok-Hwan Yoon. Their work appears in journals such as Metabolic Engineering, Scientific Reports, Nature Communications, Journal of Agricultural and Food Chemistry and Biotechnology for Biofuels and Bioproducts.

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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