Fangjun Feng

967 total citations
19 papers, 584 citations indexed

About

Fangjun Feng is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Fangjun Feng has authored 19 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 11 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Fangjun Feng's work include Rice Cultivation and Yield Improvement (13 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Plant responses to water stress (4 papers). Fangjun Feng is often cited by papers focused on Rice Cultivation and Yield Improvement (13 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Plant responses to water stress (4 papers). Fangjun Feng collaborates with scholars based in China, United Kingdom and United States. Fangjun Feng's co-authors include Hanwei Mei, Lijun Luo, Haibin Wei, Qiaojun Lou, Xiaosong Ma, Hongyan Liu, Tianfei Li, Xiaoyan Xu, Liang Chen and Tiemei Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Journal of Experimental Botany.

In The Last Decade

Fangjun Feng

19 papers receiving 576 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fangjun Feng China 12 537 247 136 29 15 19 584
Deming Jin China 9 452 0.8× 152 0.6× 107 0.8× 38 1.3× 19 1.3× 14 495
Changlan Zhu China 13 376 0.7× 173 0.7× 107 0.8× 22 0.8× 12 0.8× 29 424
Renata Pereira da Cruz Brazil 11 442 0.8× 158 0.6× 111 0.8× 31 1.1× 25 1.7× 20 480
Linjuan Ouyang China 13 385 0.7× 134 0.5× 136 1.0× 22 0.8× 12 0.8× 33 471
Ali Moumeni Iran 10 471 0.9× 131 0.5× 176 1.3× 17 0.6× 11 0.7× 32 521
Jutta Förster Germany 10 450 0.8× 117 0.5× 142 1.0× 30 1.0× 18 1.2× 13 486
Atefeh Sabouri Iran 13 499 0.9× 256 1.0× 55 0.4× 23 0.8× 22 1.5× 60 534
Yufang Xu China 11 409 0.8× 101 0.4× 131 1.0× 20 0.7× 37 2.5× 15 468
Sandra Cristina Kothe Milach Brazil 13 429 0.8× 135 0.5× 80 0.6× 57 2.0× 15 1.0× 45 458
Jishan Niu China 15 506 0.9× 73 0.3× 130 1.0× 54 1.9× 23 1.5× 53 560

Countries citing papers authored by Fangjun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Fangjun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangjun Feng

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

All Works

19 of 19 papers shown
1.
Yan, Ming, Fangjun Feng, Xiaoyan Xu, et al.. (2023). Genome-wide association study identifies a gene conferring high physiological phosphorus use efficiency in rice. Frontiers in Plant Science. 14. 1153967–1153967. 9 indexed citations
2.
Feng, Fangjun, Xiaosong Ma, Ming Yan, et al.. (2023). Identification of Genetic Loci for Rice Seedling Mesocotyl Elongation in Both Natural and Artificial Segregating Populations. Plants. 12(14). 2743–2743. 1 indexed citations
3.
Lou, Qiaojun, Qingsong Li, Fangjun Feng, et al.. (2021). Evaluation and GWAS of radicle gravitropic response in a core rice germplasm population. Plant and Soil. 468(1-2). 211–223. 2 indexed citations
4.
Ma, Xiaosong, Fangjun Feng, Yu Zhang, et al.. (2019). A novel rice grain size gene OsSNB was identified by genome-wide association study in natural population. PLoS Genetics. 15(5). e1008191–e1008191. 60 indexed citations
5.
Li, Yanan, et al.. (2017). Identification of chromosomal regions influencing mesocotyl elongation by bulked segregation analysis based on genome re-sequencing in rice.. Shanghai nongye xuebao. 33(4). 10–15. 5 indexed citations
6.
Feng, Fangjun, Hanwei Mei, Yanan Li, et al.. (2017). Dynamic transcriptome and phytohormone profiling along the time of light exposure in the mesocotyl of rice seedling. Scientific Reports. 7(1). 11961–11961. 35 indexed citations
7.
Lou, Qiaojun, Liang Chen, Hanwei Mei, et al.. (2017). Root Transcriptomic Analysis Revealing the Importance of Energy Metabolism to the Development of Deep Roots in Rice (Oryza sativa L.). Frontiers in Plant Science. 8. 1314–1314. 27 indexed citations
8.
Ma, Xiaosong, Fangjun Feng, Haibin Wei, et al.. (2016). Genome-Wide Association Study for Plant Height and Grain Yield in Rice under Contrasting Moisture Regimes. Frontiers in Plant Science. 7. 1801–1801. 82 indexed citations
9.
Wei, Haibin, Fangjun Feng, Qiaojun Lou, et al.. (2016). Genetic determination of the enhanced drought resistance of rice maintainer HuHan2B by pedigree breeding. Scientific Reports. 6(1). 37302–37302. 6 indexed citations
10.
Huang, Wei, Ting Bi, Fangjun Feng, et al.. (2016). Proteomic Analysis of Two Rice Varieties with Contrasting Drought Tolerance at Reproductive Stage. Current Proteomics. 13(3). 218–230. 2 indexed citations
11.
Wu, Jinhong, Fangjun Feng, Xingming Lian, et al.. (2015). Genome-wide Association Study (GWAS) of mesocotyl elongation based on re-sequencing approach in rice. BMC Plant Biology. 15(1). 218–218. 77 indexed citations
12.
Lou, Qiaojun, Liang Chen, Hanwei Mei, et al.. (2015). Quantitative trait locus mapping of deep rooting by linkage and association analysis in rice. Journal of Experimental Botany. 66(15). 4749–4757. 82 indexed citations
13.
Feng, Fangjun, et al.. (2012). Assessment of drought resistance among wild rice accessions using a protocol based on single-tiller propagation and PVC-tube cultivation. Australian Journal of Crop Science. 6(7). 1204–1211. 17 indexed citations
14.
Lou, Qiaojun, Chenfei Ma, Wei Ding, et al.. (2011). Genetic, proteomic and metabolic analysis of the regulation of energy storage in rice seedlings in response to drought. PROTEOMICS. 11(21). 4122–4138. 66 indexed citations
15.
Yu, Xinqiao, Lijun Luo, Hanwei Mei, Hongyan Liu, & Fangjun Feng. (2011). Water-saving and drought-resistance rice and its development strategy. Chinese Science Bulletin (Chinese Version). 56(11). 804–811. 18 indexed citations
16.
Lou, Qiaojun, Chenfei Ma, Weiwei Wen, et al.. (2011). Profiling and Association Mapping of Grain Metabolites in a Subset of the Core Collection of Chinese Rice Germplasm (Oryza sativaL.). Journal of Agricultural and Food Chemistry. 59(17). 9257–9264. 12 indexed citations
17.
Ding, Wei, et al.. (2010). Proteomic Analysis of Rice Leaves Shows the Different Regulations to Osmotic Stress and Stress Signals. Journal of Integrative Plant Biology. 52(11). 981–995. 21 indexed citations
18.
Wen, Weiwei, Hanwei Mei, Fangjun Feng, et al.. (2009). Population structure and association mapping on chromosome 7 using a diverse panel of Chinese germplasm of rice (Oryza sativa L.). Theoretical and Applied Genetics. 119(3). 459–470. 55 indexed citations
19.
Mei, Hanwei, Fangjun Feng, Bao‐Rong Lu, et al.. (2007). Experimental validation of inter-subspecific genetic diversity in rice represented by the differences between the DNA sequences of ‘Nipponbare’ and ‘93-11’. Chinese Science Bulletin. 52(10). 1327–1337. 7 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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