Shengyan Su
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
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- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
-
- Aquaculture Nutrition and Growth 21
- Fish Biology and Ecology Studies 5
-
- Identification and Quantification in Food 5
- Co-authors
- Yongkai Tang (22 shared papers)Pao Xu (13 shared papers)Fan Yu (13 shared papers)Zaijie Dong (9 shared papers)Wenrong Feng (13 shared papers)Changyou Song (9 shared papers)Meiyao Wang (12 shared papers)Jian Zhu (5 shared papers)
- Journals
- Aquaculture International (4 papers)Aquaculture (3 papers)Animals (2 papers)International Journal of Molecular Sciences (2 papers)Genomics (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shengyan Su
54 papers receiving 507 citations
Peers
Comparison fields: 5 of 84
- Aquatic Science 176
- Immunology 162
- Physiology 20
- Health, Toxicology and Mutagenesis 48
- Nutrition and Dietetics 49
Countries citing papers authored by Shengyan Su
This map shows the geographic impact of Shengyan Su'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 Shengyan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengyan Su more than expected).
Fields of papers citing papers by Shengyan Su
This network shows the impact of papers produced by Shengyan Su. 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 Shengyan Su. The network helps show where Shengyan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengyan Su, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 49 | |
| 2 | 2023 | 36 | |
| 3 | 2017 | 29 | |
| 4 | 2021 | 28 | |
| 5 | 2009 | 27 | |
| 6 | 2018 | 27 | |
| 7 | 2024 | 25 | |
| 8 | 2018 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2017 | 16 | |
| 14 | 2018 | 14 | |
| 15 | 2025 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2019 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2024 | 9 | |
| 20 | 2023 | 9 |
About Shengyan Su
Shengyan Su is a scholar working on Aquatic Science, Molecular Biology, Ecology, Immunology and Genetics, having authored 58 papers that have together received 515 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (21 papers), Aquaculture disease management and microbiota (13 papers), Crustacean biology and ecology (9 papers), Physiological and biochemical adaptations (6 papers), Genetic and phenotypic traits in livestock (5 papers), Fish Biology and Ecology Studies (5 papers), Identification and Quantification in Food (5 papers) and Fish Ecology and Management Studies (4 papers). The work is most often cited by research in Aquatic Science (176 citations), Immunology (162 citations), Physiology (20 citations), Health, Toxicology and Mutagenesis (48 citations) and Nutrition and Dietetics (49 citations). Shengyan Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yongkai Tang, Pao Xu, Fan Yu, Zaijie Dong, Wenrong Feng, Changyou Song, Meiyao Wang, Jian Zhu, Jianlin Li and Yan Shui. Their work appears in journals such as Aquaculture International, Aquaculture, Animals, International Journal of Molecular Sciences and Genomics.
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.