Shuangye Wu

1.9k citations
18 papers · 973 indexed · 1 hit paper · h-index 11

Shuangye Wu

17 papers receiving 964 citations

Hit Papers

Genomic Selection in Wheat Breeding using Genotyping‐by‐S...5072012202620162021100200300400500

Peers

Shuangye Wu
Comparison fields: 5 of 52
  • Plant Science 817
  • Genetics 565
  • Agronomy and Crop Science 92
  • Horticulture 7
  • Cell Biology 77
Replace Giovanny Covarrubias‐Pazaran with:
Giovanny Covarrubias‐Pazaran United States
Delphine Madur France
Jeff Glaubitz United States
Alessandro Davassi United Kingdom
Sara Pinosio Italy
Maxime Bastien Canada
Gabriel Rodrigues Alves Margarido Brazil
Véronique Jorge France
Jiafa Chen China
Derek Drost United States
Shuangye Wu relative to Giovanny Covarrubias‐Pazaran United States Giovanny Covarrubias‐Pazaran's profile →
Citations per field
00.5×10×20×26.7×
Giovanny Covarrubias‐Pazaran · 1×
Citations per year

Countries citing papers authored by Shuangye Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuangye Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20241
2 20234
3 20237
4 20239
5 202213
6 202210
7 20220
8 202215
9 201939
10 201970
11 201712
12 201514
13 2013138
14 201226
15
Genomic Selection in Wheat Breeding using Genotyping‐by‐Sequencingbreakdown →
2012507
16 20124
17 201146
18 200958

About Shuangye Wu

Shuangye Wu is a scholar working on Plant Science, Genetics and Cell Biology, having authored 18 papers that have together received 973 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (14 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics and Plant Breeding (7 papers), Plant Disease Resistance and Genetics (5 papers), Genetic and phenotypic traits in livestock (3 papers), Chromosomal and Genetic Variations (3 papers), Plant Pathogens and Fungal Diseases (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Plant Science (817 citations), Genetics (565 citations) and Agronomy and Crop Science (92 citations). Shuangye Wu has collaborated with scholars based in United States, Saudi Arabia and Mexico. Frequent co-authors include Jesse Poland, José Crossa, Jessica Rutkoski, Yann Manès, Jean‐Luc Jannink, Héctor Sánchez‐Villeda, Susanne Dreisigacker, Mark E. Sorrells, Jeffrey B. Endelman and Julie C. Dawson. Their work appears in journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

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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