Min Jin
Impact in
- Aquatic Science top 0.05%
- Aquaculture Nutrition and Growth
- Aquatic life and conservation
- Physiology top 0.5%
- Reproductive biology and impacts on aquatic species
Papers in
- Aquatic Science 148
- Aquaculture Nutrition and Growth 148
- Immunology 86
- Aquaculture disease management and microbiota 79
- Invertebrate Immune Response Mechanisms 15
- Co-authors
- Qicun Zhou (151 shared papers)Ye Yuan (44 shared papers)Lefei Jiao (73 shared papers)Peng Sun (37 shared papers)Jiaxiang Luo (53 shared papers)Douglas R. Tocher (34 shared papers)Tingting Zhu (50 shared papers)Xuexi Wang (18 shared papers)
- Journals
- Aquaculture (41 papers)Aquaculture Reports (39 papers)Aquaculture Nutrition (21 papers)Fish & Shellfish Immunology (9 papers)British Journal Of Nutrition (6 papers)
- Partner nations
- ChinaUnited KingdomSpain
In The Last Decade
Min Jin
173 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 116
- Aquatic Science 2.6k
- Physiology 408
- Immunology 1.6k
- Ecology 870
- Animal Science and Zoology 244
Countries citing papers authored by Min Jin
This map shows the geographic impact of Min Jin'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 Min Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Jin more than expected).
Fields of papers citing papers by Min Jin
This network shows the impact of papers produced by Min Jin. 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 Min Jin. The network helps show where Min Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Jin, 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 189 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2008 | 135 | |
| 3 | 2018 | 111 | |
| 4 | 2014 | 91 | |
| 5 | 2019 | 81 | |
| 6 | 2018 | 77 | |
| 7 | 2019 | 70 | |
| 8 | 2020 | 70 | |
| 9 | 2013 | 66 | |
| 10 | 2016 | 65 | |
| 11 | 2017 | 62 | |
| 12 | 2018 | 59 | |
| 13 | 2018 | 56 | |
| 14 | 2015 | 56 | |
| 15 | 2022 | 55 | |
| 16 | 2016 | 55 | |
| 17 | 2014 | 53 | |
| 18 | 2020 | 53 | |
| 19 | 2020 | 53 | |
| 20 | 2019 | 52 |
About Min Jin
Min Jin is a scholar working on Aquatic Science, Immunology, Ecology, Molecular Biology and Physiology, having authored 189 papers that have together received 3.8k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (148 papers), Aquaculture disease management and microbiota (79 papers), Crustacean biology and ecology (29 papers), Physiological and biochemical adaptations (26 papers), Reproductive biology and impacts on aquatic species (19 papers), Protein Hydrolysis and Bioactive Peptides (18 papers), Neurobiology and Insect Physiology Research (16 papers) and Invertebrate Immune Response Mechanisms (15 papers). The work is most often cited by research in Aquatic Science (2.6k citations), Physiology (408 citations), Immunology (1.6k citations), Ecology (870 citations) and Animal Science and Zoology (244 citations). Min Jin has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Qicun Zhou, Ye Yuan, Lefei Jiao, Peng Sun, Jiaxiang Luo, Douglas R. Tocher, Tingting Zhu, Xuexi Wang, Mónica B. Betancor and Kangsen Mai. Their work appears in journals such as Aquaculture, Aquaculture Reports, Aquaculture Nutrition, Fish & Shellfish Immunology and British Journal Of Nutrition.
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.