Jin Ah Song
- Pollution top 10%
- Aquatic Science top 5%
- Ecology
- Industrial and Manufacturing Engineering top 10%
- Health, Toxicology and Mutagenesis
- Co-authors
- Cheol Young ChoiHeung‐Sik ParkYoung Jae ChoiMin Ju KimJiajun WuZhongguan JiangWenxuan LuJin A Kim
- Topics
- Physiological and biochemical adaptations (15 papers)Environmental Toxicology and Ecotoxicology (13 papers)Aquaculture Nutrition and Growth (11 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsJournal of Environmental ManagementFish & Shellfish Immunology
- Partner nations
- South KoreaChinaCanada
In The Last Decade
Jin Ah Song
42 papers receiving 327 citations
Peers
Comparison fields: 5 of 62
- Pollution 107
- Aquatic Science 73
- Ecology 63
- Industrial and Manufacturing Engineering 57
- Health, Toxicology and Mutagenesis 56
Countries citing papers authored by Jin Ah Song
This map shows the geographic impact of Jin Ah Song'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 Ah Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ah Song more than expected).
Fields of papers citing papers by Jin Ah Song
This network shows the impact of papers produced by Jin Ah Song. 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 Ah Song. The network helps show where Jin Ah Song may publish in the future.
Co-authorship network of co-authors of Jin Ah Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Ah Song. A scholar is included among the top collaborators of Jin Ah Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Ah Song. Jin Ah Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 16 | |
| 18 | A New Algorithm for Linear Programming—Improved Big-M Method | 1 |
| 19 | 32 | |
| 20 | Physiological Response of Imperata cylindrica var.majo Seedlings on Growth and Antioxidant Enzyme System under Cu Stress | 0 |
About Jin Ah Song
Jin Ah Song is a scholar working on Aquatic Science, Health, Toxicology and Mutagenesis and Physiology, having authored 44 papers that have together received 328 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (15 papers), Environmental Toxicology and Ecotoxicology (13 papers) and Aquaculture Nutrition and Growth (11 papers). The work is most often cited by research in Aquatic Science (73 citations), Pollution (107 citations) and Industrial and Manufacturing Engineering (57 citations). Jin Ah Song has collaborated with scholars based in South Korea, China and Canada. Frequent co-authors include Cheol Young Choi, Heung‐Sik Park, Young Jae Choi, Min Ju Kim, Jiajun Wu, Zhongguan Jiang, Wenxuan Lu, Jin A Kim, Na Na Kim and Xianfu Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Environmental Management and Fish & Shellfish Immunology.
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.