Ah ran Kim
Impact in
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
- Immunology top 10%
- Aquaculture disease management and microbiota
Papers in
-
- Fish Biology and Ecology Studies 9
- Aquaculture Nutrition and Growth 7
- Immunology 26
- Aquaculture disease management and microbiota 22
- Invertebrate Immune Response Mechanisms 4
- Co-authors
- Do‐Hyung Kim (24 shared papers)HyeongJin Roh (21 shared papers)Yoonhang Lee (13 shared papers)Hyun‐Woo Kim (29 shared papers)Nameun Kim (10 shared papers)Tae Kyoung Kim (3 shared papers)Thanh Luan Nguyen (7 shared papers)Chan‐Il Park (6 shared papers)
- Journals
- Aquaculture (7 papers)Fish & Shellfish Immunology (3 papers)International Journal of Molecular Sciences (3 papers)Ecology and Evolution (3 papers)Biology (3 papers)
- Partner nations
- South KoreaIndonesiaJapan
In The Last Decade
Ah ran Kim
70 papers receiving 833 citations
Peers
Comparison fields: 5 of 103
- Aquatic Science 136
- Immunology 259
- Endocrinology 32
- Hepatology 45
- Ecological Modeling 25
Countries citing papers authored by Ah ran Kim
This map shows the geographic impact of Ah ran 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 Ah ran Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ah ran Kim more than expected).
Fields of papers citing papers by Ah ran Kim
This network shows the impact of papers produced by Ah ran 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 Ah ran Kim. The network helps show where Ah ran Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ah ran 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
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 67 | |
| 2 | 2019 | 59 | |
| 3 | 2021 | 59 | |
| 4 | 2018 | 52 | |
| 5 | 2003 | 45 | |
| 6 | 2002 | 39 | |
| 7 | 2018 | 33 | |
| 8 | 2020 | 31 | |
| 9 | 2020 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2016 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2023 | 20 | |
| 14 | 2018 | 18 | |
| 15 | 2013 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2021 | 13 |
About Ah ran Kim
Ah ran Kim is a scholar working on Aquatic Science, Immunology, Ecology, Molecular Biology and Nature and Landscape Conservation, having authored 82 papers that have together received 853 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (22 papers), Identification and Quantification in Food (18 papers), Genomics and Phylogenetic Studies (13 papers), Fish Biology and Ecology Studies (9 papers), Aquaculture Nutrition and Growth (7 papers), Environmental DNA in Biodiversity Studies (6 papers), Physiological and biochemical adaptations (5 papers) and Invertebrate Immune Response Mechanisms (4 papers). The work is most often cited by research in Aquatic Science (136 citations), Immunology (259 citations), Endocrinology (32 citations), Hepatology (45 citations) and Ecological Modeling (25 citations). Ah ran Kim has collaborated with scholars based in South Korea, Indonesia and Japan. Frequent co-authors include Do‐Hyung Kim, HyeongJin Roh, Yoonhang Lee, Hyun‐Woo Kim, Nameun Kim, Tae Kyoung Kim, Thanh Luan Nguyen, Chan‐Il Park, Hyun Kwon Ha and Moon-Gyu Lee. Their work appears in journals such as Aquaculture, Fish & Shellfish Immunology, International Journal of Molecular Sciences, Ecology and Evolution and Biology.
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.