Hee-Jung Moon

1.5k citations
44 papers · 1.2k · h-index 19

Impact in

Papers in

    • Microbial metabolism and enzyme function 10
    • Coenzyme Q10 studies and effects 4
    • Enzyme Catalysis and Immobilization 4
    • Glycosylation and Glycoproteins Research 3
    • Biochemical Acid Research Studies 8

Hee-Jung Moon

40 papers receiving 1.1k citations

Peers

Hee-Jung Moon
Comparison fields: 5 of 116
  • Biochemistry 143
  • Biotechnology 112
  • Molecular Biology 782
  • Nutrition and Dietetics 83
  • Pharmacology 80
Replace Tatsuo Hoshino with:
Tatsuo Hoshino Japan
Tongcun Zhang China
Joseph Barycki United States
Andrean L. Simons United States
João Azevedo‐Silva Portugal
Shuhei Noda Japan
Maria Condello Italy
Kiyoshi YOSHIZAWA Japan
Claudia Bocca Italy
Hee-Jung Moon relative to Tatsuo Hoshino Japan Tatsuo Hoshino's profile →
Citations per field
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Tatsuo Hoshino · 1×
Citations per year

Countries citing papers authored by Hee-Jung Moon

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Jung Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Jung Moon. 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 Hee-Jung Moon. The network helps show where Hee-Jung Moon may publish in the future.

Co-authors

The 25 scholars most cited alongside Hee-Jung Moon, 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 Hee-Jung Moon Line = papers co-authored together Hee-Jung Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010200
2 2014115
3 2014113
4 201373
5 201467
6 200952
7 201045
8 201444
9 201944
10 201036
11 200934
12 200734
13 201332
14 200932
15 200931
16 201830
17 200726
18 201020
19 202018
20 202216

About Hee-Jung Moon

Hee-Jung Moon is a scholar working on Molecular Biology, Biochemistry, Biotechnology, Pharmacology and Biomedical Engineering, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (10 papers), Biochemical Acid Research Studies (8 papers), Enzyme Production and Characterization (5 papers), Coenzyme Q10 studies and effects (4 papers), Enzyme Catalysis and Immobilization (4 papers), Biofuel production and bioconversion (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Biochemistry (143 citations), Biotechnology (112 citations), Molecular Biology (782 citations), Nutrition and Dietetics (83 citations) and Pharmacology (80 citations). Hee-Jung Moon has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jung-Kul Lee, Marimuthu Jeya, Minae Mure, Joel Finney, In‐Won Kim, Trey A. Ronnebaum, Sang-Yong Kim, Li Xu, Manish Kumar Tiwari and Kyoung-Mi Lee. Their work appears in journals such as Applied Microbiology and Biotechnology, Journal of Biological Chemistry, International Journal of Molecular Sciences, Applied Biochemistry and Biotechnology and Journal of Agricultural and Food Chemistry.

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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