Dan Shi
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
-
- Aquaculture disease management and microbiota
Papers in
- Physiology 14
- Diet and metabolism studies 8
- Dietary Effects on Health 6
- Biochemical effects in animals 4
- Co-authors
- Jun Jiang (5 shared papers)Wei‐Dan Jiang (5 shared papers)Lin Feng (5 shared papers)Xiao‐Qiu Zhou (5 shared papers)Jun‐Jin Deng (4 shared papers)Xiao‐Chun Luo (4 shared papers)Yang Liu (3 shared papers)Long Yin (3 shared papers)
- Journals
- Medicine (3 papers)Fish & Shellfish Immunology (2 papers)Frontiers in Endocrinology (2 papers)Scientific Reports (1 paper)Neoplasia (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dan Shi
62 papers receiving 917 citations
Peers
Comparison fields: 5 of 128
- Aquatic Science 169
- Immunology 185
- Biotechnology 59
- Nephrology 48
- Biological Psychiatry 13
Countries citing papers authored by Dan Shi
This map shows the geographic impact of Dan Shi'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 Dan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shi more than expected).
Fields of papers citing papers by Dan Shi
This network shows the impact of papers produced by Dan Shi. 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 Dan Shi. The network helps show where Dan Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Shi, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2020 | 86 | |
| 3 | 2014 | 67 | |
| 4 | 2019 | 67 | |
| 5 | 2018 | 57 | |
| 6 | 2015 | 46 | |
| 7 | 2016 | 42 | |
| 8 | 2015 | 38 | |
| 9 | 2020 | 35 | |
| 10 | 2018 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 2023 | 25 | |
| 13 | 2018 | 22 | |
| 14 | 2016 | 22 | |
| 15 | 2022 | 18 | |
| 16 | 2018 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2008 | 13 |
About Dan Shi
Dan Shi is a scholar working on Molecular Biology, Physiology, Epidemiology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 66 papers that have together received 931 indexed citations. Recurring topics across this work include Diet and metabolism studies (8 papers), Lipid metabolism and disorders (7 papers), Dietary Effects on Health (6 papers), Caveolin-1 and cellular processes (5 papers), Aquaculture Nutrition and Growth (5 papers), Biochemical effects in animals (4 papers), Nutritional Studies and Diet (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Aquatic Science (169 citations), Immunology (185 citations), Biotechnology (59 citations), Nephrology (48 citations) and Biological Psychiatry (13 citations). Dan Shi has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jun Jiang, Wei‐Dan Jiang, Lin Feng, Xiao‐Qiu Zhou, Jun‐Jin Deng, Xiao‐Chun Luo, Yang Liu, Long Yin, Zhiwei Li and Ye Zhao. Their work appears in journals such as Medicine, Fish & Shellfish Immunology, Frontiers in Endocrinology, Scientific Reports and Neoplasia.
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.