Do‐Hyung Kim
- Aquatic Science top 0.5%
- Aquaculture Nutrition and Growth 19
- Immunology top 2%
- Aquaculture disease management and microbiota 89
- Invertebrate Immune Response Mechanisms 14
- Microbiology top 5%
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 13
- Endocrinology top 5%
- Vibrio bacteria research studies 10
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- Genomics and Phylogenetic Studies 13
- Identification and Quantification in Food 10
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- Physiological and biochemical adaptations 11
- Co-authors
- Brian AustinChan‐Il ParkHyeongJin RohThanh Luan NguyenAhran KimYoonhang LeeNameun KimWi‐Sik Kim
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (2 papers)Molecular Cell (1 paper)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Do‐Hyung Kim
121 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 116
- Aquatic Science 878
- Immunology 1.3k
- Microbiology 148
- Animal Science and Zoology 230
- Endocrinology 103
Countries citing papers authored by Do‐Hyung Kim
This map shows the geographic impact of Do‐Hyung 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 Do‐Hyung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do‐Hyung Kim more than expected).
Fields of papers citing papers by Do‐Hyung Kim
This network shows the impact of papers produced by Do‐Hyung 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 Do‐Hyung Kim. The network helps show where Do‐Hyung Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Do‐Hyung Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 36 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 15 | |
| 17 | 2019 | 1 | |
| 18 | 2018 | 1 | |
| 19 | Evaluation of the stability of IgM and specific antibody response of sevenband grouper Epinephelus septemfasciatus for application of antibody-detection ELISA | 2009 | 1 |
| 20 | Effects of stress induced by changes of water temperature on the non-specific defense mechanism in cultured olive flounder, Paralichthys olivaceus | 2002 | 2 |
About Do‐Hyung Kim
Do‐Hyung Kim is a scholar working on Immunology, Aquatic Science and Endocrinology, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (89 papers), Aquaculture Nutrition and Growth (19 papers), Invertebrate Immune Response Mechanisms (14 papers), Genomics and Phylogenetic Studies (13 papers), Animal Virus Infections Studies (13 papers), Physiological and biochemical adaptations (11 papers), Vibrio bacteria research studies (10 papers) and Identification and Quantification in Food (10 papers). The work is most often cited by research in Aquatic Science (878 citations), Immunology (1.3k citations) and Microbiology (148 citations). Do‐Hyung Kim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Brian Austin, Chan‐Il Park, HyeongJin Roh, Thanh Luan Nguyen, Ahran Kim, Yoonhang Lee, Nameun Kim, Wi‐Sik Kim, Myung‐Joo Oh and Hyun‐Ja Han. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Molecular Cell.
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.