Ju-Won Kim

758 citations
52 papers · 610 indexed · h-index 15

Impact in

    • Antimicrobial Peptides and Activities
  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms
    • interferon and immune responses

Papers in

    • Aquaculture disease management and microbiota 30
    • Invertebrate Immune Response Mechanisms 13
    • interferon and immune responses 8
    • Immune Response and Inflammation 5
    • Antimicrobial Peptides and Activities 10

Ju-Won Kim

51 papers receiving 602 citations

Peers

Ju-Won Kim
Comparison fields: 5 of 71
  • Microbiology 139
  • Immunology 338
  • Aquatic Science 105
  • Endocrinology 20
  • Parasitology 25
Replace Jannel Acosta with:
Jannel Acosta Cuba
Remi L. Gratacap United States
Gian Enrico Magi Italy
Xiu-Zhen Shi China
Chang-Jun Guo China
Sima Hadidi Canada
Yasuhiro Shibasaki Japan
Jelena Palić United States
Guobin Hu China
Ju-Won Kim relative to Jannel Acosta Cuba Jannel Acosta's profile →
Citations per field
00.5×1.5×
Jannel Acosta · 1×
Citations per year

Countries citing papers authored by Ju-Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ju-Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20241
4 20231
5 20234
6 20225
7 20221
8 20211
9 20203
10 20204
11 201910
12 20191
13 20186
14 20178
15 20166
16 201517
17 20156
18 201420
19 201220
20 20108

About Ju-Won Kim

Ju-Won Kim is a scholar working on Immunology, Microbiology, Aquatic Science, Cell Biology and Genetics, having authored 52 papers that have together received 610 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (30 papers), Invertebrate Immune Response Mechanisms (13 papers), Antimicrobial Peptides and Activities (10 papers), interferon and immune responses (8 papers), CRISPR and Genetic Engineering (6 papers), Calpain Protease Function and Regulation (5 papers), Immune Response and Inflammation (5 papers) and Animal Genetics and Reproduction (5 papers). The work is most often cited by research in Microbiology (139 citations), Immunology (338 citations), Aquatic Science (105 citations), Endocrinology (20 citations) and Parasitology (25 citations). Ju-Won Kim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Chan‐Il Park, Young‐Ok Kim, Bo‐Hye Nam, Hee Jeong Kong, Sang Hee Shim, Dong‐Gyun Kim, Jung Youn Park, Do‐Hyung Kim, Eun‐Gyeong Kim and Cheul Min An. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Antimicrobial Agents and Chemotherapy, Journal of Clinical Investigation and International Journal of Molecular Sciences.

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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