Wei Shi

3.1k citations
108 papers · 1.5k · h-index 22

Impact in

Papers in

    • Genomics and Phylogenetic Studies 44
    • Identification and Quantification in Food 26
    • Photosynthetic Processes and Mechanisms 5
    • Chromosomal and Genetic Variations 12
    • Plant-Microbe Interactions and Immunity 6

Wei Shi

105 papers receiving 1.5k citations

Peers

Wei Shi
Comparison fields: 5 of 98
  • Nature and Landscape Conservation 182
  • Plant Science 519
  • Molecular Biology 842
  • Aquatic Science 81
  • Genetics 198
Replace Silvia Fluch with:
Silvia Fluch Austria
Zhiyong Zhang China
Andrey A. Gontcharov Russia
Maria Luisa Chiusano Italy
Boping Tang China
Andrei Herdean Australia
Stéphane Lobréaux France
Manuel B. Crespo Spain
Guangyi Fan China
Hiroaki Setoguchi Japan
Wei Shi relative to Silvia Fluch Austria Silvia Fluch's profile →
Citations per field
00.5×1.5×
Silvia Fluch · 1×
Citations per year

Countries citing papers authored by Wei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei 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 Wei Shi Line = papers co-authored together Wei Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006141
2 2012114
3 200479
4 201975
5 201958
6 201146
7 201342
8 201541
9 201841
10 201440
11 201938
12 200837
13 202134
14 201333
15 202033
16 201931
17 201327
18 200726
19 202025
20
Utility of tRNA Genes from the Complete Mitochondrial Genome of Psetta maxima for Implying a Possible Sister-group Relationship to the Pleuronectiformes
201124

About Wei Shi

Wei Shi is a scholar working on Molecular Biology, Plant Science, Nature and Landscape Conservation, Genetics and Immunology, having authored 108 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (44 papers), Identification and Quantification in Food (26 papers), Ichthyology and Marine Biology (20 papers), Genetic diversity and population structure (17 papers), Chromosomal and Genetic Variations (12 papers), Aquaculture disease management and microbiota (12 papers), Plant-Microbe Interactions and Immunity (6 papers) and Photosynthetic Processes and Mechanisms (5 papers). The work is most often cited by research in Nature and Landscape Conservation (182 citations), Plant Science (519 citations), Molecular Biology (842 citations), Aquatic Science (81 citations) and Genetics (198 citations). Wei Shi has collaborated with scholars based in China, United States and Moldova. Frequent co-authors include Xiaoyu Kong, Wei Xü, Li Gong, Qiang Gao, Danfeng Zhang, Xian Qi, ■ Xiang, Kai Kai, R. Wayne Higgins and Christopher Hain. Their work appears in journals such as BMC Genomics, Scientia Horticulturae, Postharvest Biology and Technology, International Journal of Biological Macromolecules and Phytotaxa.

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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