Xiaochen Shi

1.4k citations
54 papers · 1.1k indexed · h-index 21

Impact in

    • Aquaculture Nutrition and Growth
  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Xiaochen Shi

50 papers receiving 1.1k citations

Peers

Xiaochen Shi
Comparison fields: 5 of 124
  • Aquatic Science 181
  • Immunology 241
  • Biochemistry 69
  • Biochemistry 55
  • Physiology 34
Replace Yue Tang with:
Yue Tang China
Weijun Chen China
Ahmed Hamed Arisha Egypt
Xichun Wang China
Jae‐Hyuk Jang South Korea
Soo‐Wan Nam South Korea
Xiaoming Yang China
Haijun Gao China
Tarek M. Mohamed Egypt
Hong Luo China
Xiaochen Shi relative to Yue Tang China Yue Tang's profile →
Citations per field
00.5×5.7×
Yue Tang · 1×
Citations per year

Countries citing papers authored by Xiaochen Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaochen Shi Line = papers co-authored together Xiaochen Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 201787
3 201760
4 201758
5 201652
6 201844
7 201742
8 201641
9 201536
10 201634
11 201434
12 202034
13 202130
14 202030
15 202228
16 202027
17 201626
18 202024
19 201423
20 201621

About Xiaochen Shi

Xiaochen Shi is a scholar working on Biochemistry, Environmental Engineering, Biological Psychiatry, Physiology and Immunology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tribology and Wear Analysis (8 papers), Adipose Tissue and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Lubricants and Their Additives (6 papers), Microbial Fuel Cells and Bioremediation (5 papers), Autophagy in Disease and Therapy (4 papers), Lipid metabolism and biosynthesis (3 papers) and Adhesion, Friction, and Surface Interactions (3 papers). The work is most often cited by research in Aquatic Science (181 citations), Immunology (241 citations), Biochemistry (69 citations), Biochemistry (55 citations) and Physiology (34 citations). Xiaochen Shi has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Liqiao Chen, Hong Ji, Zhen‐Yu Du, Jian Sun, Tian Zhang, Pier‐Luc Tremblay, Bo Xia, Lu Yu, Haibo Yu and Baocai Xie. Their work appears in journals such as PLoS Biology, Journal of Agricultural and Food Chemistry, Scientific Reports, Fish Physiology and Biochemistry and Frontiers in Cellular and Infection Microbiology.

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.

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