Jin Woo Jun

3.4k citations
130 papers · 2.8k · h-index 31

Impact in

  • Endocrinology top 0.5%
    • Vibrio bacteria research studies
  • Immunology top 2%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Aquaculture disease management and microbiota 66
    • Invertebrate Immune Response Mechanisms 16
    • Vibrio bacteria research studies 20

Jin Woo Jun

128 papers receiving 2.7k citations

Peers

Jin Woo Jun
Comparison fields: 5 of 114
  • Endocrinology 591
  • Immunology 1.4k
  • Microbiology 371
  • Aquatic Science 406
  • Ecology 1.1k
Replace Mark L. Lawrence with:
Mark L. Lawrence United States
António Martinez- Murcia Spain
Hyoun Joong Kim South Korea
Yan Qingpi China
Emmett B. Shotts United States
Channarong Rodkhum Thailand
Jeremy Carson Australia
Covadonga R. Arias United States
Ha Thanh Dong Thailand
Lixing Huang China
Jin Woo Jun relative to Mark L. Lawrence United States Mark L. Lawrence's profile →
Citations per field
00.5×1.5×1.9×
Mark L. Lawrence · 1×
Citations per year

Countries citing papers authored by Jin Woo Jun

Since Specialization
Citations

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

Fields of papers citing papers by Jin Woo Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Woo Jun. 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 Jin Woo Jun. The network helps show where Jin Woo Jun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014109
2 201897
3 201384
4 201983
5 201479
6 201770
7 201264
8 201661
9 201660
10 201356
11 200954
12 201352
13 201652
14 201752
15 201750
16 201646
17 201146
18 201343
19 201940
20 201940

About Jin Woo Jun

Jin Woo Jun is a scholar working on Immunology, Endocrinology, Ecology, Aquatic Science and Microbiology, having authored 130 papers that have together received 2.8k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (66 papers), Bacteriophages and microbial interactions (39 papers), Genomics and Phylogenetic Studies (21 papers), Vibrio bacteria research studies (20 papers), Invertebrate Immune Response Mechanisms (16 papers), Microbial infections and disease research (16 papers), Aquaculture Nutrition and Growth (16 papers) and Identification and Quantification in Food (8 papers). The work is most often cited by research in Endocrinology (591 citations), Immunology (1.4k citations), Microbiology (371 citations), Aquatic Science (406 citations) and Ecology (1.1k citations). Jin Woo Jun has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Se Chang Park, Sib Sankar Giri, Hyoun Joong Kim, Ji Hyung Kim, Sang Wha Kim, Ji Young Chai, Sang Phil Shin, Saekil Yun, Jee Eun Han and Sang Guen Kim. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Viruses, Pathogens and Archives of Virology.

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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