608 total citations 15 papers, 420 citations indexed
About
J. Gai is a scholar working on Plant Science, Molecular Biology and Genetics.
According to data from OpenAlex, J. Gai has authored 15 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in J. Gai's work include Soybean genetics and cultivation (11 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Plant pathogens and resistance mechanisms (2 papers). J. Gai is often cited by papers focused on Soybean genetics and cultivation (11 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Plant pathogens and resistance mechanisms (2 papers). J. Gai collaborates with scholars based in China, Japan and India. J. Gai's co-authors include Jun Abe, Yuta Shimamoto, Dong Xu, Ying Liu, Zhanglin Lin Cui, Donghe Xu, Akira Kanazawa, Zhijun Ren, Chao He and Jianbo He and has published in prestigious journals such as Theoretical and Applied Genetics, Journal of Agronomy and Crop Science and ACTA AGRONOMICA SINICA.
In The Last Decade
J. Gai
15 papers
receiving
384 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of J. 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 J. Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Gai more than expected).
This network shows the impact of papers produced by J. 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 J. Gai. The network helps show where J. Gai may publish in the future.
Co-authorship network of co-authors of J. Gai
This figure shows the co-authorship network connecting the top 25 collaborators of J. Gai.
A scholar is included among the top collaborators of J. 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 J. Gai. J. Gai is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Ying, et al.. (2005). [Identification of drought tolerant germplasm and inheritance and QTL mapping of related root traits in soybean (Glycine max (L.) Merr.)].. PubMed. 32(8). 855–63.33 indexed citations
Gai, J., et al.. (2001). [Major gene plus poly-gene inheritance of erucic acid content in Brassica napus L].. PubMed. 28(2). 182–7.5 indexed citations
6.
He, Chao, et al.. (2001). [QTLs mapping of some agronomic traits of soybean].. PubMed. 28(10). 947–55.5 indexed citations
7.
He, Chao, et al.. (2001). [Construction and analysis of a genetic linkage map of soybean].. PubMed. 28(11). 1051–61.26 indexed citations
8.
Gai, J., et al.. (2001). [Development and expression process of inheritance of resistance to cotton worm (Prodenia litura) in soybeans].. PubMed. 28(10). 956–63.4 indexed citations
Gai, J., et al.. (1997). [Identification of major gene and polygene mixed inheritance model and estimation of genetic parameters of a quantitative trait from F2 progeny].. PubMed. 24(5). 432–40.27 indexed citations
14.
Gai, J., et al.. (1995). A report on the nuclear cytoplasmic male sterility from a cross between two soybean cultivars.26 indexed citations
15.
Gai, J., et al.. (1990). Inheritance of fertility restoration ability of restorer line Ninghui 3-2 in sinica rice.. ACTA AGRONOMICA SINICA. 16(1). 1–7.2 indexed citations
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.