Fangquan Wang

993 total citations
39 papers, 682 citations indexed

About

Fangquan Wang is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Fangquan Wang has authored 39 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 23 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Fangquan Wang's work include GABA and Rice Research (12 papers), CRISPR and Genetic Engineering (10 papers) and Rice Cultivation and Yield Improvement (6 papers). Fangquan Wang is often cited by papers focused on GABA and Rice Research (12 papers), CRISPR and Genetic Engineering (10 papers) and Rice Cultivation and Yield Improvement (6 papers). Fangquan Wang collaborates with scholars based in China, Australia and United States. Fangquan Wang's co-authors include Fangjun Fan, Jie Yang, Wenqi Li, Qian‐Hao Zhu, Yajun Tao, Zhong WeiGong, Zhihui Chen, Yang Xu, Jinyan Zhu and Jun Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Fangquan Wang

37 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangquan Wang China 17 479 337 104 61 52 39 682
Yinghao He China 13 126 0.3× 286 0.8× 68 0.7× 112 1.8× 26 0.5× 28 526
Christine Leoff United States 9 354 0.7× 385 1.1× 115 1.1× 85 1.4× 40 0.8× 9 650
Éderson Akio Kido Brazil 16 587 1.2× 414 1.2× 34 0.3× 71 1.2× 20 0.4× 45 856
Bhupendra Chaudhary India 16 891 1.9× 513 1.5× 79 0.8× 24 0.4× 10 0.2× 59 1.1k
Lulu Wang China 15 207 0.4× 313 0.9× 61 0.6× 9 0.1× 6 0.1× 46 551
Xiaoli Shang China 9 201 0.4× 136 0.4× 69 0.7× 12 0.2× 15 0.3× 28 411
Yùzhēn Shí China 22 1.1k 2.3× 370 1.1× 56 0.5× 15 0.2× 5 0.1× 68 1.2k
José Ribamar Costa Ferreira‐Neto Brazil 14 429 0.9× 323 1.0× 22 0.2× 32 0.5× 15 0.3× 41 632
Valesca Pandolfi Brazil 14 453 0.9× 298 0.9× 24 0.2× 23 0.4× 12 0.2× 39 630
Roy G. Creech United States 16 616 1.3× 242 0.7× 44 0.4× 84 1.4× 153 2.9× 36 762

Countries citing papers authored by Fangquan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fangquan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangquan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fangquan Wang. A scholar is included among the top collaborators of Fangquan Wang 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 Fangquan Wang. Fangquan Wang 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
1.
Zhang, Wenhong, Qinmei Sun, Huifeng Zhang, et al.. (2025). Dietary exposure to lambda-cyhalothrin induces intestinal damage in chickens via oxidative stress and gut microbiota dysbiosis. Poultry Science. 104(11). 105835–105835.
2.
Chen, Zhihui, Yajun Tao, Yang Xu, et al.. (2024). Efficient Breeding of Early-Maturing Rice Cultivar by Editing Hd6 via CRISPR/Cas9. Rice Science. 31(6). 629–633. 1 indexed citations
3.
Wang, Fangquan, et al.. (2024). Experimental investigation on the thermophysical properties and solidification characteristics of n-octadecane in a spherical capsule. Case Studies in Thermal Engineering. 64. 105475–105475. 6 indexed citations
4.
Chen, Zhihui, Bin Li, Yajun Tao, et al.. (2023). Generation of new rice germplasms with low amylose content by CRISPR/CAS9-targeted mutagenesis of the FLOURY ENDOSPERM 2 gene. Frontiers in Plant Science. 14. 1138523–1138523. 7 indexed citations
5.
Zeng, Zi‐Fan, Xiangyang Wu, Yingying Li, et al.. (2022). Jasmonic acid negatively regulation of root growth in Japonica rice (Oryza sativa L.) under cadmium treatment. Plant Growth Regulation. 98(3). 651–667. 20 indexed citations
6.
Chen, Zhihui, Hongxu Du, Yajun Tao, et al.. (2022). Efficient breeding of low glutelin content rice germplasm by simultaneous editing multiple glutelin genes via CRISPR/Cas9. Plant Science. 324. 111449–111449. 17 indexed citations
7.
Li, Bin, Fangquan Wang, Yang Xu, et al.. (2021). Efficient Breeding of Early-Maturing Rice Cultivar by Editing PHYC via CRISPR/Cas9. Rice. 14(1). 86–86. 12 indexed citations
8.
Tao, Yajun, Jun Miao, Jun Wang, et al.. (2020). RGG1, Involved in the Cytokinin Regulatory Pathway, Controls Grain Size in Rice. Rice. 13(1). 76–76. 41 indexed citations
9.
Wang, Fangquan, Xu Yang, Wang Jun, et al.. (2019). Thermo-sensitive male sterile line created by editing TMS5 gene in japonica rice.. Zhongguo shuidao kexue. 33(5). 429–435. 2 indexed citations
10.
Wang, Fangquan, Zhihui Chen, Yang Xu, et al.. (2019). Development and application of the functional marker for the broad-spectrum blast resistance gene PigmR in rice.. Zhongguo nongye Kexue. 52(6). 955–967. 5 indexed citations
11.
Miao, Yujing, Yiwen Cao, Ying Zhou, et al.. (2019). Selection of reference genes for the quantitative real-time PCR normalization of gene expression in Isatis indigotica fortune. BMC Molecular Biology. 20(1). 9–9. 39 indexed citations
12.
Wang, Jun, Jinyan Zhu, Yadong Zhang, et al.. (2018). Comparative transcriptome analysis reveals molecular response to salinity stress of salt-tolerant and sensitive genotypes of indica rice at seedling stage. Scientific Reports. 8(1). 2085–2085. 67 indexed citations
13.
Yang, Jie, Fangjun Fan, Fangquan Wang, et al.. (2018). Genetic Analysis of Imazethapyr Resistance in Rice and the Closely Linked Marker Selection and Application. ACTA AGRONOMICA SINICA. 44(5). 716–722. 1 indexed citations
14.
Wang, Fangquan, Jie Yang, Fangjun Fan, et al.. (2017). Development and Application of the Functional Marker for Imidazolinone Herbicides Resistant ALS Gene in Rice. ACTA AGRONOMICA SINICA. 44(3). 324–331. 4 indexed citations
15.
Li, Wenqi, Fangquan Wang, Jun Wang, et al.. (2015). Overexpressing CYP71Z2 Enhances Resistance to Bacterial Blight by Suppressing Auxin Biosynthesis in Rice. PLoS ONE. 10(3). e0119867–e0119867. 28 indexed citations
16.
Wang, Jun, Jinyan Zhu, Fangjun Fan, et al.. (2014). Evaluation of Resistance to Rice Panicle Blast with Resistant Genes Pi-b,Pi-ta,Pikm and Pi54. 29(3). 221–226. 1 indexed citations
17.
Jun, Wang, et al.. (2014). Development and application of a functional marker for grain weight gene TGW6 in rice.. Zhongguo shuidao kexue. 28(5). 473–478. 2 indexed citations
18.
Tang, Xiaoqing, Yunhua Xiao, Tingting Lv, et al.. (2014). High-Throughput Sequencing and De Novo Assembly of the Isatis indigotica Transcriptome. PLoS ONE. 9(9). e102963–e102963. 30 indexed citations
19.
Wu, Mingzhu, Fangquan Wang, Chen Zhang, et al.. (2012). Heme oxygenase-1 is involved in nitric oxide- and cGMP-induced α-Amy2/54 gene expression in GA-treated wheat aleurone layers. Plant Molecular Biology. 81(1-2). 27–40. 38 indexed citations
20.
Feng, Xiuli, Fangquan Wang, Ruibing Cao, et al.. (2011). Isolation, antiproliferation on tumor cell and immunomodulatory activity of BSP-I, a novel bursal peptide from chicken humoral immune system. Peptides. 32(6). 1103–1109. 14 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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