Junyi Gai

6.5k total citations · 1 hit paper
189 papers, 4.9k citations indexed

About

Junyi Gai is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Junyi Gai has authored 189 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Plant Science, 41 papers in Genetics and 28 papers in Molecular Biology. Recurrent topics in Junyi Gai's work include Soybean genetics and cultivation (128 papers), Legume Nitrogen Fixing Symbiosis (74 papers) and Plant pathogens and resistance mechanisms (48 papers). Junyi Gai is often cited by papers focused on Soybean genetics and cultivation (128 papers), Legume Nitrogen Fixing Symbiosis (74 papers) and Plant pathogens and resistance mechanisms (48 papers). Junyi Gai collaborates with scholars based in China, United States and India. Junyi Gai's co-authors include Tuanjie Zhao, Yan Li, Deyue Yu, Jianbo He, Guangnan Xing, Shou‐Yi Chen, Xiaolei Wu, Yufeng Wang, Shouping Yang and J. A. Wrather and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and PLoS ONE.

In The Last Decade

Junyi Gai

180 papers receiving 4.7k citations

Hit Papers

Maize-soybean strip intercropping: Achieved a balance bet... 2018 2026 2020 2023 2018 50 100 150

Peers

Junyi Gai
Comparison fields: 5 of 104
  • Plant Science 4.3k
  • Molecular Biology 1.1k
  • Genetics 658
  • Agronomy and Crop Science 338
  • Biochemistry 204
Replace Wenbin Li with:
Wenbin Li China
Lijuan Qiu China
Rudy Dolferus Australia
Babu Valliyodan United States
Brian P. Dilkes United States
Francisco M. Cánovas Spain
Istvan Rajcan Canada
Zonglie Hong United States
Rhonda C. Meyer Germany
Oliver Thimm Germany
Wenbin Li China View profile →
Citations per field, relative to Junyi Gai
Junyi Gai · 1×
Citations per year, relative to Junyi Gai
Junyi Gai · 1×

Countries citing papers authored by Junyi Gai

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyi Gai

This figure shows the co-authorship network connecting the top 25 collaborators of Junyi Gai. A scholar is included among the top collaborators of Junyi Gai 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 Junyi Gai. Junyi Gai 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
# Work Indexed citations
1 1
2 0
3 0
4 0
5 11
6 2
7 3
8 0
9 12
10 8
11 5
12 51
13
Bialaphos-resistant Transgenic Soybeans Produced by the Agrobacterium-mediated Cotyledonary-node Method
9
14 13
15 29
16 16
17
Construction and Characterization of Full-Length cDNA Library and Expressed Sequence Tags Analysis in Developing Seeds of Vegetable Soybean
3
18
Gene Mapping of Brachytic Stem and Its Effect on Main Agronomic Traits in Soybean
1
19
Studies on the evolutionary relationship among eco-types of G. max and G. soja in China
27
20
A joint analysis of multiple generations for QTL models extended to mixed two major genes plus polygene
10

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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