Ruixin Fu

889 total citations
14 papers, 594 citations indexed

About

Ruixin Fu is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Ruixin Fu has authored 14 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 5 papers in Molecular Biology and 2 papers in Nutrition and Dietetics. Recurrent topics in Ruixin Fu's work include Legume Nitrogen Fixing Symbiosis (7 papers), Plant-Microbe Interactions and Immunity (7 papers) and Nematode management and characterization studies (2 papers). Ruixin Fu is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (7 papers), Plant-Microbe Interactions and Immunity (7 papers) and Nematode management and characterization studies (2 papers). Ruixin Fu collaborates with scholars based in China, Spain and United States. Ruixin Fu's co-authors include Haichao Feng, Yunpeng Liu, Nan Zhang, Qirong Shen, Ruifu Zhang, Wenbin Du, Tino Krell, Jiahui Shao, Youzhi Miao and Zhihui Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and New Phytologist.

In The Last Decade

Ruixin Fu

13 papers receiving 590 citations

Peers

Ruixin Fu
Gladys Mori Argentina
Ruixin Fu
Citations per year, relative to Ruixin Fu Ruixin Fu (= 1×) peers Gladys Mori

Countries citing papers authored by Ruixin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ruixin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruixin Fu

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

All Works

14 of 14 papers shown
1.
Li, Xue, Ruixin Fu, Bingbing Ma, et al.. (2025). Recent Research Advances in HER2-Positive Breast Cancer Concerning Targeted Therapy Drugs. Molecules. 30(14). 3026–3026. 1 indexed citations
2.
Fu, Ruixin, Mengyuan Zhu, Yanrong Zhang, Junmin Li, & Haichao Feng. (2025). Harnessing the Rhizosphere Microbiome for Selenium Biofortification in Plants: Mechanisms, Applications and Future Perspectives. Microorganisms. 13(6). 1234–1234.
3.
Fu, Ruixin & Haichao Feng. (2024). Deciphering Bacterial Chemorepulsion: The Complex Response of Microbes to Environmental Stimuli. Microorganisms. 12(8). 1706–1706. 3 indexed citations
4.
Feng, Haichao, Ruixin Fu, Kun Gao, et al.. (2023). Listening to plant's Esperanto via root exudates: reprogramming the functional expression of plant growth‐promoting rhizobacteria. New Phytologist. 239(6). 2307–2319. 50 indexed citations
5.
Yang, Keming, Ruixin Fu, Haichao Feng, et al.. (2023). RIN enhances plant disease resistance via root exudate-mediated assembly of disease-suppressive rhizosphere microbiota. Molecular Plant. 16(9). 1379–1395. 57 indexed citations
6.
7.
Feng, Haichao, Tino Krell, Ruixin Fu, et al.. (2022). Signal binding at both modules of its dCache domain enables the McpA chemoreceptor of Bacillus velezensis to sense different ligands. Proceedings of the National Academy of Sciences. 119(29). e2201747119–e2201747119. 35 indexed citations
8.
Feng, Haichao, Ruixin Fu, Nan Zhang, et al.. (2021). Chemotaxis of Beneficial Rhizobacteria to Root Exudates: The First Step towards Root–Microbe Rhizosphere Interactions. International Journal of Molecular Sciences. 22(13). 6655–6655. 141 indexed citations
9.
Fu, Ruixin, Haichao Feng, Francisco Dini‐Andreote, et al.. (2021). Modulation of the Tomato Rhizosphere Microbiome via Changes in Root Exudation Mediated by the Ethylene Receptor NR. Microorganisms. 9(12). 2456–2456. 16 indexed citations
10.
Liu, Yunpeng, Haichao Feng, Ruixin Fu, et al.. (2019). Induced root-secreted d-galactose functions as a chemoattractant and enhances the biofilm formation of Bacillus velezensis SQR9 in an McpA-dependent manner. Applied Microbiology and Biotechnology. 104(2). 785–797. 46 indexed citations
11.
Feng, Haichao, Nan Zhang, Ruixin Fu, et al.. (2018). Recognition of dominant attractants by key chemoreceptors mediates recruitment of plant growth‐promoting rhizobacteria. Environmental Microbiology. 21(1). 402–415. 70 indexed citations
12.
Feng, Haichao, Nan Zhang, Wenbin Du, et al.. (2018). Identification of Chemotaxis Compounds in Root Exudates and Their Sensing Chemoreceptors in Plant-Growth-Promoting Rhizobacteria Bacillus amyloliquefaciens SQR9. Molecular Plant-Microbe Interactions. 31(10). 995–1005. 127 indexed citations
13.
Zhang, Xi, Huanhuan Xu, Ruixin Fu, et al.. (2016). Bioethanol production by heterologous expression of two individual 1-FEH genes from Helianthus tuberosus in Saccharomyces cerevisiae 6525. BioEnergy Research. 9(3). 884–893. 2 indexed citations
14.
Li, Xu, Zhongyuan Lin, Qing Tao, et al.. (2014). Multiple NUCLEAR FACTOR Y Transcription Factors Respond to Abiotic Stress in Brassica napus L. PLoS ONE. 9(10). e111354–e111354. 41 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.

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