Cui Long-Gang

977 total citations · 1 hit paper
3 papers, 726 citations indexed

About

Cui Long-Gang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Cui Long-Gang has authored 3 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Genetics. Recurrent topics in Cui Long-Gang's work include Photosynthetic Processes and Mechanisms (2 papers), Plant Gene Expression Analysis (2 papers) and Plant Stress Responses and Tolerance (2 papers). Cui Long-Gang is often cited by papers focused on Photosynthetic Processes and Mechanisms (2 papers), Plant Gene Expression Analysis (2 papers) and Plant Stress Responses and Tolerance (2 papers). Cui Long-Gang collaborates with scholars based in China. Cui Long-Gang's co-authors include Jiping Gao, Jun‐Xiang Shan, Hong‐Xuan Lin, Min Shi, Qi Feng, Tao Guo, Lei Su, Xinmin Li, Nai‐Qian Dong and Hua‐Chang Chen and has published in prestigious journals such as Nature Genetics, The Plant Journal and PLoS Genetics.

In The Last Decade

Cui Long-Gang

3 papers receiving 720 citations

Hit Papers

The miR156‐SPL9‐DFR pathway coordinates the relationship ... 2014 2026 2018 2022 2014 100 200 300

Peers

Cui Long-Gang
Junpeng Zhan United States
Jean‐Michel Michno United States
André Beló United States
Wei Zong China
P. Plaha India
Junpeng Zhan United States
Cui Long-Gang
Citations per year, relative to Cui Long-Gang Cui Long-Gang (= 1×) peers Junpeng Zhan

Countries citing papers authored by Cui Long-Gang

Since Specialization
Citations

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

Fields of papers citing papers by Cui Long-Gang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cui Long-Gang. 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 Cui Long-Gang. The network helps show where Cui Long-Gang may publish in the future.

Co-authorship network of co-authors of Cui Long-Gang

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

All Works

3 of 3 papers shown
1.
Li, Xinmin, Dai‐Yin Chao, Yuan Wu, et al.. (2015). Natural alleles of a proteasome α2 subunit gene contribute to thermotolerance and adaptation of African rice. Nature Genetics. 47(7). 827–833. 267 indexed citations
2.
Long-Gang, Cui, Jun‐Xiang Shan, Min Shi, Jiping Gao, & Hong‐Xuan Lin. (2015). DCA1 Acts as a Transcriptional Co-activator of DST and Contributes to Drought and Salt Tolerance in Rice. PLoS Genetics. 11(10). e1005617–e1005617. 85 indexed citations
3.
Long-Gang, Cui, Jun‐Xiang Shan, Min Shi, Jiping Gao, & Hong‐Xuan Lin. (2014). The miR156‐SPL9‐DFR pathway coordinates the relationship between development and abiotic stress tolerance in plants. The Plant Journal. 80(6). 1108–1117. 374 indexed citations breakdown →

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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