Xiaochen Shi
Impact in
- Aquatic Science top 1%
- Aquaculture Nutrition and Growth
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
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- Aquaculture Nutrition and Growth 8
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- Microbial Fuel Cells and Bioremediation 4
- Co-authors
- Jian Hong Sun (10 shared papers)Liqiao Chen (7 shared papers)Hong Ji (10 shared papers)Zhen‐Yu Du (7 shared papers)Jiang Wei Wu (10 shared papers)Bo Xia (10 shared papers)Tian Zhang (8 shared papers)Pier‐Luc Tremblay (8 shared papers)
In The Last Decade
Xiaochen Shi
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Aquatic Science 243
- Biochemistry 44
- Immunology 115
- Environmental Engineering 67
- Nutrition and Dietetics 57
Countries citing papers authored by Xiaochen Shi
This map shows the geographic impact of Xiaochen 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 Xiaochen Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Shi more than expected).
Fields of papers citing papers by Xiaochen Shi
This network shows the impact of papers produced by Xiaochen 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 Xiaochen Shi. The network helps show where Xiaochen Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2017 | 92 | |
| 3 | 2017 | 65 | |
| 4 | 2017 | 60 | |
| 5 | 2016 | 54 | |
| 6 | 2018 | 52 | |
| 7 | 2017 | 44 | |
| 8 | 2016 | 43 | |
| 9 | 2016 | 37 | |
| 10 | 2020 | 37 | |
| 11 | 2022 | 37 | |
| 12 | 2014 | 34 | |
| 13 | 2021 | 34 | |
| 14 | 2020 | 33 | |
| 15 | 2016 | 29 | |
| 16 | 2020 | 27 | |
| 17 | 2020 | 27 | |
| 18 | 2020 | 25 | |
| 19 | 2020 | 25 | |
| 20 | 2014 | 23 |
About Xiaochen Shi
Xiaochen Shi is a scholar working on Aquatic Science, Environmental Engineering, Molecular Biology, Health, Toxicology and Mutagenesis and Epidemiology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Microbial Fuel Cells and Bioremediation (4 papers), Tribology and Wear Analysis (3 papers), Adipose Tissue and Metabolism (3 papers), Advanced Photocatalysis Techniques (2 papers), Fatigue and fracture mechanics (2 papers) and Chromium effects and bioremediation (2 papers). The work is most often cited by research in Aquatic Science (243 citations), Biochemistry (44 citations), Immunology (115 citations), Environmental Engineering (67 citations) and Nutrition and Dietetics (57 citations). Xiaochen Shi has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Jian Hong Sun, Liqiao Chen, Hong Ji, Zhen‐Yu Du, Jiang Wei Wu, Bo Xia, Tian Zhang, Pier‐Luc Tremblay, Mengqing Zhu and Lu Yu. Their work appears in journals such as PLoS Biology, Journal of Agricultural and Food Chemistry, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Scientific Reports 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.