Weilai Sha

640 citations
52 papers · 413 · h-index 13

Impact in

    • Genetic diversity and population structure
    • Human-Animal Interaction Studies
    • Gut microbiota and health
    • Genomics and Phylogenetic Studies
    • Identification and Quantification in Food

Papers in

    • Genomics and Phylogenetic Studies 22
    • Identification and Quantification in Food 11
    • Gut microbiota and health 9
    • Genetic diversity and population structure 17

Weilai Sha

48 papers receiving 410 citations

Peers

Weilai Sha
Comparison fields: 5 of 70
  • Genetics 140
  • Molecular Biology 262
  • Ecology 77
  • Health, Toxicology and Mutagenesis 36
  • Paleontology 17
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Weilai Sha relative to Natalia J. Bayona‐Vásquez United States Natalia J. Bayona‐Vásquez's profile →
Citations per field
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Natalia J. Bayona‐Vásquez · 1×
Citations per year

Countries citing papers authored by Weilai Sha

Since Specialization
Citations

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

Fields of papers citing papers by Weilai Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201946
2 201840
3 202127
4 202123
5 201021
6 202220
7 201216
8 202115
9 202214
10 201314
11 201713
12 201912
13 201512
14 202210
15 202010
16 20219
17 20229
18 20219
19 20167
20 20236

About Weilai Sha

Weilai Sha is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Infectious Diseases, having authored 52 papers that have together received 413 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (22 papers), Genetic diversity and population structure (17 papers), Identification and Quantification in Food (11 papers), Gut microbiota and health (9 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Toxic Organic Pollutants Impact (4 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Genetics (140 citations), Molecular Biology (262 citations), Ecology (77 citations), Health, Toxicology and Mutagenesis (36 citations) and Paleontology (17 citations). Weilai Sha has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Honghai Zhang, Guangshuai Liu, Qinguo Wei, Xiaoyang Wu, Guolei Sun, Xibao Wang, Huashan Dou, Yongquan Shang, Huanxin Zhang and Xiufeng Yang. Their work appears in journals such as Ecology and Evolution, Animals, Environmental Science and Pollution Research, The Science of The Total Environment and Current 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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