Won‐Jae Chi

1.1k citations
71 papers · 882 · h-index 16

Impact in

Papers in

    • Genomics and Phylogenetic Studies 13
    • Protein Hydrolysis and Bioactive Peptides 7
    • Enzyme Production and Characterization 27

Won‐Jae Chi

58 papers receiving 864 citations

Peers

Won‐Jae Chi
Comparison fields: 5 of 87
  • Biotechnology 502
  • Aquatic Science 357
  • Nutrition and Dietetics 190
  • Food Science 104
  • Molecular Biology 382
Replace Noora Barzkar with:
Noora Barzkar Iran
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Hyeok‐Jin Ko South Korea
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Won‐Jae Chi relative to Noora Barzkar Iran Noora Barzkar's profile →
Citations per field
00.5×10.6×
Noora Barzkar · 1×
Citations per year

Countries citing papers authored by Won‐Jae Chi

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Jae Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Jae Chi. 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 Won‐Jae Chi. The network helps show where Won‐Jae Chi may publish in the future.

Co-authors

The 25 scholars most cited alongside Won‐Jae Chi, 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 Won‐Jae Chi Line = papers co-authored together Won‐Jae Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012214
2 201167
3 201162
4 200441
5 201437
6 201635
7 201427
8 201126
9 201424
10 201423
11 201822
12 201521
13 201818
14 201217
15 201317
16
Overexpression of the sprD Gene Encoding Streptomyces griseus Protease D Stimulates Actinorhodin Production in Streptomyces lividans
200116
17 201215
18 201315
19 202115
20 200714

About Won‐Jae Chi

Won‐Jae Chi is a scholar working on Molecular Biology, Biotechnology, Aquatic Science, Pharmacology and Ecology, having authored 71 papers that have together received 882 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (27 papers), Seaweed-derived Bioactive Compounds (15 papers), Genomics and Phylogenetic Studies (13 papers), Biofuel production and bioconversion (10 papers), Microbial Community Ecology and Physiology (9 papers), Microbial Natural Products and Biosynthesis (8 papers), Food Quality and Safety Studies (7 papers) and Protein Hydrolysis and Bioactive Peptides (7 papers). The work is most often cited by research in Biotechnology (502 citations), Aquatic Science (357 citations), Nutrition and Dietetics (190 citations), Food Science (104 citations) and Molecular Biology (382 citations). Won‐Jae Chi has collaborated with scholars based in South Korea, India and Pakistan. Frequent co-authors include Soon‐Kwang Hong, YongKeun Chang, Chang‐Ro Lee, Soon-Youl Lee, Jaeseon Park, Y.‐K. Chang, Dae‐Kyung Kang, Yong Keun Chang, Chang‐Hwan Bae and Subin Jung. Their work appears in journals such as Applied Microbiology and Biotechnology, The Journal of Microbiology, Applied Biochemistry and Biotechnology, Molecules and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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