Peng Shi

1.3k total citations
38 papers, 771 citations indexed

About

Peng Shi is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Aquatic Science. According to data from OpenAlex, Peng Shi has authored 38 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 7 papers in Molecular Biology and 7 papers in Aquatic Science. Recurrent topics in Peng Shi's work include Aquaculture Nutrition and Growth (7 papers), Aquaculture disease management and microbiota (4 papers) and Heavy Metal Exposure and Toxicity (4 papers). Peng Shi is often cited by papers focused on Aquaculture Nutrition and Growth (7 papers), Aquaculture disease management and microbiota (4 papers) and Heavy Metal Exposure and Toxicity (4 papers). Peng Shi collaborates with scholars based in China, United States and Hong Kong. Peng Shi's co-authors include Shuhua Xi, Huanchang Yan, Hongmei Jing, Chenkai Zhao, Xiaoyang Li, Yinqiao Dong, Wei Liu, Shixing Tang, Miao He and Hanqing Zhao and has published in prestigious journals such as Journal of Biological Chemistry, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Peng Shi

35 papers receiving 755 citations

Peers

Peng Shi
Comparison fields: 5 of 136
  • Modeling and Simulation 216
  • Health, Toxicology and Mutagenesis 172
  • Global and Planetary Change 151
  • Pulmonary and Respiratory Medicine 143
  • Economics and Econometrics 141
Replace Zhuang Ma with:
Zhuang Ma China
Kun Lin China
Motoya Hayashi Japan
Fengming Huang China
Jonathan Ciencewicki United States
Maryam Maleki Iran
Muhammad Salman Egypt
Meng Yang China
Wanwan Sun China
Zhuang Ma China View profile →
Citations per field, relative to Peng Shi
Peng Shi · 1×
Citations per year, relative to Peng Shi
Peng Shi · 1×

Countries citing papers authored by Peng Shi

Since Specialization
Citations

This map shows the geographic impact of Peng 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 Peng Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Shi more than expected).

Fields of papers citing papers by Peng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng 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 Peng Shi. The network helps show where Peng Shi may publish in the future.

Co-authorship network of co-authors of Peng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Shi. A scholar is included among the top collaborators of Peng Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Shi. Peng Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 0
4 1
5 0
6 7
7 2
8 2
9 5
10 3
11 4
12 15
13 6
14 5
15 55
16 8
17 7
18 21
19 20
20
Advances in molecular biology of rubber tree (Hevea brasiliensis)
1

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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