Won Je Jang

1.7k citations
62 papers · 1.4k · h-index 21

Impact in

    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Aquaculture disease management and microbiota 30
    • Aquaculture Nutrition and Growth 26
    • Aquatic life and conservation 13

Won Je Jang

60 papers receiving 1.4k citations

Peers

Won Je Jang
Comparison fields: 5 of 91
  • Aquatic Science 698
  • Immunology 754
  • Food Science 248
  • Biotechnology 98
  • Endocrinology 54
Replace Chiu-Hsia Chiu with:
Chiu-Hsia Chiu Taiwan
Md Tawheed Hasan Bangladesh
Reza Safari Iran
Ganfeng Yi China
Wanaporn Tapingkae Thailand
Michael L. Jahncke United States
Wenshu Huang China
Amir Tukmechi Iran
Verónica Rojas Chile
Won Je Jang relative to Chiu-Hsia Chiu Taiwan Chiu-Hsia Chiu's profile →
Citations per field
00.5×3.7×
Chiu-Hsia Chiu · 1×
Citations per year

Countries citing papers authored by Won Je Jang

Since Specialization
Citations

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

Fields of papers citing papers by Won Je Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Je Jang. 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 Je Jang. The network helps show where Won Je Jang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019100
2 2021100
3 202098
4 202082
5 201973
6 201869
7 201763
8 201960
9 201839
10 202037
11 201832
12 202231
13 202231
14 201831
15 202028
16 202128
17 202027
18 202226
19 202024
20 201924

About Won Je Jang

Won Je Jang is a scholar working on Immunology, Aquatic Science, Molecular Biology, Food Science and Biotechnology, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (30 papers), Aquaculture Nutrition and Growth (26 papers), Aquatic life and conservation (13 papers), Microbial Metabolites in Food Biotechnology (8 papers), Probiotics and Fermented Foods (8 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Biopolymer Synthesis and Applications (6 papers) and Polyamine Metabolism and Applications (5 papers). The work is most often cited by research in Aquatic Science (698 citations), Immunology (754 citations), Food Science (248 citations), Biotechnology (98 citations) and Endocrinology (54 citations). Won Je Jang has collaborated with scholars based in South Korea, Bangladesh and Saudi Arabia. Frequent co-authors include In‐Soo Kong, Md Tawheed Hasan, Bong‐Joo Lee, Eun‐Woo Lee, Sungchul C. Bai, Sang Gu Lim, Sang Woo Hur, Kang Woong Kim, Jong Min Lee and Seunghan Lee. Their work appears in journals such as Enzyme and Microbial Technology, Fish & Shellfish Immunology, Aquaculture, Journal of Functional Foods and Frontiers in 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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