Xiaochen Shi
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
- Immunology top 10%
- Aquaculture disease management and microbiota
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- Peroxisome Proliferator-Activated Receptors 6
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- Adipose Tissue and Metabolism 6
- Co-authors
- Liqiao Chen (7 shared papers)Zhen‐Yu Du (7 shared papers)Jian Sun (10 shared papers)Hong Ji (10 shared papers)Pier‐Luc Tremblay (8 shared papers)Tian Zhang (8 shared papers)Bo Xia (10 shared papers)Lu Yu (8 shared papers)
- Journals
- PLoS Biology (3 papers)Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Fish & Shellfish Immunology (2 papers)Chemosphere (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xiaochen Shi
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Aquatic Science 194
- Immunology 240
- Biochemistry 71
- Biochemistry 56
- Physiology 39
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 120 | |
| 2 | 2017 | 91 | |
| 3 | 2017 | 61 | |
| 4 | 2017 | 60 | |
| 5 | 2016 | 52 | |
| 6 | 2018 | 50 | |
| 7 | 2017 | 44 | |
| 8 | 2016 | 42 | |
| 9 | 2015 | 40 | |
| 10 | 2016 | 37 | |
| 11 | 2020 | 36 | |
| 12 | 2014 | 34 | |
| 13 | 2021 | 33 | |
| 14 | 2022 | 31 | |
| 15 | 2020 | 30 | |
| 16 | 2016 | 29 | |
| 17 | 2020 | 27 | |
| 18 | 2020 | 25 | |
| 19 | 2020 | 24 | |
| 20 | 2020 | 24 |
About Xiaochen Shi
Xiaochen Shi is a scholar working on Molecular Biology, Physiology, Mechanics of Materials, Environmental Engineering and Immunology, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tribology and Wear Analysis (8 papers), Lubricants and Their Additives (6 papers), Adipose Tissue and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Microbial Fuel Cells and Bioremediation (5 papers), Autophagy in Disease and Therapy (4 papers), Synthesis and properties of polymers (3 papers) and Adhesion, Friction, and Surface Interactions (3 papers). The work is most often cited by research in Aquatic Science (194 citations), Immunology (240 citations), Biochemistry (71 citations), Biochemistry (56 citations) and Physiology (39 citations). Xiaochen Shi has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Liqiao Chen, Zhen‐Yu Du, Jian Sun, Hong Ji, Pier‐Luc Tremblay, Tian Zhang, Bo Xia, Lu Yu, Haibo Yu and Baocai Xie. Their work appears in journals such as PLoS Biology, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Frontiers in Cellular and Infection Microbiology, Fish & Shellfish Immunology and Chemosphere.
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.