Shuqi Mei

1.5k citations
59 papers · 808 indexed · h-index 14
Topics
Genetic and phenotypic traits in livestock (12 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)Cancer-related molecular mechanisms research (6 papers)
Partner nations
ChinaUnited StatesIndia

In The Last Decade

Shuqi Mei

54 papers receiving 800 citations

Peers

Shuqi Mei
Comparison fields: 5 of 110
  • Molecular Biology 344
  • Genetics 256
  • Cancer Research 187
  • Public Health, Environmental and Occupational Health 133
  • Animal Science and Zoology 100
Replace Xiaohong Liu with:
Xiaohong Liu China
Changyan Deng China
Zheng Xu China
Keqiong Tang China
Xingxu Zhao China
Haijing Zhu China
Jiaqi Li China
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Martin Braunschweig Switzerland
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Shuqi Mei relative to Xiaohong Liu China Xiaohong Liu's profile →
Citations per field
00.5×1.6×
Xiaohong Liu · 1×
Citations per year

Countries citing papers authored by Shuqi Mei

Since Specialization
Citations

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

Fields of papers citing papers by Shuqi Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuqi Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Shuqi Mei. A scholar is included among the top collaborators of Shuqi Mei 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 Shuqi Mei. Shuqi Mei 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
#WorkIndexed citations
1 0
2 2
3 5
4 4
5 2
6 2
7 7
8 27
9 51
10 9
11 21
12
Gene expressions in major organs between Enshi black and Landrace pigs after Streptococcus suis infection.
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13 6
14 18
15 56
16 8
17 10
18
Polymorphism of Intron 8 of Porcine MX1 Gene and Its Association Analysis with Productive Traits
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19 4
20 31

About Shuqi Mei

Shuqi Mei is a scholar working on Animal Science and Zoology, Genetics and Cancer Research, having authored 59 papers that have together received 808 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (12 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (187 citations), Animal Science and Zoology (100 citations) and Reproductive Medicine (78 citations). Shuqi Mei has collaborated with scholars based in China, United States and India. Frequent co-authors include Xianwen Peng, Jiawei Zhou, Mu Qiao, Guisheng Liu, Junjing Wu, Fenge Li, Uma Gaur, Kui Li, Huayu Wu and Hu Tao. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Gene.

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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