Kaifeng Wu

605 total citations
13 papers, 164 citations indexed

About

Kaifeng Wu is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kaifeng Wu has authored 13 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kaifeng Wu's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Kaifeng Wu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Kaifeng Wu collaborates with scholars based in China, Canada and Japan. Kaifeng Wu's co-authors include Woo‐Jin Song, Eric Fogel, Huanmin Zhou, Deval Lashkari, David M. Kurnit, Julie R. Korenberg, Margaret L. Van Keuren, Chunxia Liu, Wei Wang and Yanping Xing and has published in prestigious journals such as PLoS ONE, Genome Research and Theriogenology.

In The Last Decade

Kaifeng Wu

12 papers receiving 159 citations

Peers

Kaifeng Wu
Comparison fields: 5 of 54
  • Molecular Biology 76
  • Genetics 58
  • Plant Science 41
  • Obstetrics and Gynecology 23
  • Public Health, Environmental and Occupational Health 23
Replace Roberta Migale with:
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Hien Luong United States
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Marie-Michelle Simon Canada
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Roberta Migale United Kingdom View profile →
Citations per field, relative to Kaifeng Wu
Kaifeng Wu · 1×
Citations per year, relative to Kaifeng Wu
Kaifeng Wu · 1×

Countries citing papers authored by Kaifeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kaifeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaifeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaifeng Wu. A scholar is included among the top collaborators of Kaifeng Wu 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 Kaifeng Wu. Kaifeng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 2
2 0
3 1
4 18
5 6
6 17
7 12
8 34
9
Preliminary association study of single nucleotide polymorphism in MYHl and TRDN genes for growth-related traits hi japanese black beef cattle
1
10 13
11 6
12
[Optimization of parameters of exogene transfection of bovine fetal fibroblasts in vitro mediated by liposome].
2
13 52

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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