Cunyi Yang

1.1k total citations
30 papers, 869 citations indexed

About

Cunyi Yang is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Cunyi Yang has authored 30 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Pollution. Recurrent topics in Cunyi Yang's work include Plant Stress Responses and Tolerance (10 papers), Soybean genetics and cultivation (9 papers) and Plant Micronutrient Interactions and Effects (7 papers). Cunyi Yang is often cited by papers focused on Plant Stress Responses and Tolerance (10 papers), Soybean genetics and cultivation (9 papers) and Plant Micronutrient Interactions and Effects (7 papers). Cunyi Yang collaborates with scholars based in China, Japan and United States. Cunyi Yang's co-authors include Qibin Ma, Hai Nian, Xiaolong Fang, Hai Nian, Wenwen Dong, Qiaoying Zeng, Xiuping Li, Yinghui Mu, Peng Wang and Xiaojuan Deng and has published in prestigious journals such as Nature Communications, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Cunyi Yang

28 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cunyi Yang China	14	782	221	122	37	36	30	869
Liangbo Fu China	18	604 0.8×	257 1.2×	89 0.7×	33 0.9×	26 0.7×	27	772
Guangzhe Yang China	14	732 0.9×	257 1.2×	125 1.0×	28 0.8×	38 1.1×	22	829
K. L. Tearall United Kingdom	4	544 0.7×	138 0.6×	144 1.2×	32 0.9×	28 0.8×	5	591
Hexigeduleng Bao China	17	722 0.9×	330 1.5×	113 0.9×	29 0.8×	14 0.4×	26	892
Yingpeng Hua China	19	830 1.1×	316 1.4×	86 0.7×	20 0.5×	31 0.9×	55	950
Rafael Augusto Arenhart Brazil	10	1.1k 1.5×	501 2.3×	86 0.7×	28 0.8×	24 0.7×	13	1.2k
Xue Feng China	15	558 0.7×	179 0.8×	73 0.6×	21 0.6×	13 0.4×	24	675
Wenbang Tang China	17	608 0.8×	174 0.8×	99 0.8×	39 1.1×	141 3.9×	53	744
Zhuchou Lu China	13	434 0.6×	190 0.9×	110 0.9×	27 0.7×	9 0.3×	29	541

Countries citing papers authored by Cunyi Yang

Since Specialization

Citations

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

Fields of papers citing papers by Cunyi Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunyi Yang

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

All Works

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20 of 20 papers shown

Fang, Yuan, Bing Yang, Xiaomin Xu, et al.. (2025). Natural variation in histone demethylase GmLDL2 confers flowering time divergence for geographical expansion in soybean. Nature Communications. 16(1). 5687–5687.

Xu, Xiaomin, et al.. (2024). Morphological characterization and transcriptome analysis of rolled and narrow leaf mutant in soybean. BMC Plant Biology. 24(1). 686–686. 1 indexed citations

Liu, Guoqiang, Fang Yuan, Yongzhen Wang, et al.. (2024). Genome-wide association study and haplotype analysis reveal novel candidate genes for resistance to powdery mildew in soybean. Frontiers in Plant Science. 15. 1369650–1369650. 4 indexed citations

Wang, Dong, et al.. (2023). Target Soybean Leaf Segmentation Model Based on Leaf Localization and Guided Segmentation. Agriculture. 13(9). 1662–1662.

Fang, Xiaolong, Yapeng Han, Xiang Li, et al.. (2020). Modulation of evening complex activity enables north-to-south adaptation of soybean. Science China Life Sciences. 64(2). 179–195. 26 indexed citations

Wang, Xinxin, Yanbo Cheng, Cunyi Yang, et al.. (2019). QTL mapping for aluminum tolerance in RIL population of soybean (Glycine max L.) by RAD sequencing. PLoS ONE. 14(10). e0223674–e0223674. 15 indexed citations

Wang, Peng, et al.. (2018). The differences of cell wall in roots between two contrasting soybean cultivars exposed to cadmium at young seedlings. Environmental Science and Pollution Research. 25(29). 29705–29714. 59 indexed citations

Wang, Peng, et al.. (2016). Mutagenesis and SSR markers of soybean cultivar Huaxia 3. Zhongguo youliao zuowu xuebao. 38(2). 159. 1 indexed citations

Fang, Xiaolong, Lei Wang, Xiaojuan Deng, et al.. (2016). Genome-wide characterization of soybean P 1B -ATPases gene family provides functional implications in cadmium responses. BMC Genomics. 17(1). 376–376. 36 indexed citations

10.

Wang, Peng, et al.. (2015). Comparison of subcellular distribution and chemical forms of cadmium among four soybean cultivars at young seedlings. Environmental Science and Pollution Research. 22(24). 19584–19595. 43 indexed citations

11.

Wang, Peng, et al.. (2015). Root morphological responses of five soybean [Glycine max (L.) Merr] cultivars to cadmium stress at young seedlings. Environmental Science and Pollution Research. 23(2). 1860–1872. 34 indexed citations

12.

Fang, Xiaolong, Yinghui Mu, Yanbo Cheng, et al.. (2014). Metal Pollution (Cd, Pb, Zn, and As) in Agricultural Soils and Soybean, Glycine max, in Southern China. Bulletin of Environmental Contamination and Toxicology. 92(4). 427–432. 50 indexed citations

13.

An, Jing, et al.. (2014). Transcriptome Profiling to Discover Putative Genes Associated with Paraquat Resistance in Goosegrass (Eleusine indica L.). PLoS ONE. 9(6). e99940–e99940. 53 indexed citations

14.

Ma, Qibin, et al.. (2013). OsDREB2A, a Rice Transcription Factor, Significantly Affects Salt Tolerance in Transgenic Soybean. PLoS ONE. 8(12). e83011–e83011. 76 indexed citations

15.

Fang, Xiaolong, Qibin Ma, Peng Wang, et al.. (2013). Identification and Comparative Analysis of Cadmium Tolerance-Associated miRNAs and Their Targets in Two Soybean Genotypes. PLoS ONE. 8(12). e81471–e81471. 74 indexed citations

16.

Zeng, Qiaoying, Cunyi Yang, Qibin Ma, et al.. (2012). Identification of wild soybean miRNAs and their target genes responsive to aluminum stress. BMC Plant Biology. 12(1). 182–182. 127 indexed citations

17.

Yang, Cunyi. (2011). Integrated QTLs map of phosphorus efficiency in soybean by Meta-analysis. Zhongguo youliao zuowu xuebao. 5 indexed citations

18.

Nian, Hai, Cunyi Yang, He Huang, & Hideaki Matsumoto. (2009). Effects of low pH and aluminum stresses on common beans (Phaseolus vulgaris) differing in low-phosphorus and photoperiod responses. Frontiers of Biology in China. 4(4). 446–452. 1 indexed citations

19.

Shen, Hong, Jianhong Chen, Zhanyi Wang, et al.. (2006). Root plasma membrane H+-ATPase is involved in the adaptation of soybean to phosphorus starvation. Journal of Experimental Botany. 57(6). 1353–1362. 106 indexed citations

20.

Shen, Hong, et al.. (2004). Mobilization of sparingly soluble phosphates by root exudates and root cell wall of soybean seedlings. WIT transactions on ecology and the environment. 13(4). 633–635. 1 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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