Congdang Yang

454 total citations
10 papers, 377 citations indexed

About

Congdang Yang is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Congdang Yang has authored 10 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Agronomy and Crop Science. Recurrent topics in Congdang Yang's work include Rice Cultivation and Yield Improvement (5 papers), Crop Yield and Soil Fertility (4 papers) and Animal Genetics and Reproduction (2 papers). Congdang Yang is often cited by papers focused on Rice Cultivation and Yield Improvement (5 papers), Crop Yield and Soil Fertility (4 papers) and Animal Genetics and Reproduction (2 papers). Congdang Yang collaborates with scholars based in China and United States. Congdang Yang's co-authors include Shao‐Hua Wang, Ganghua Li, Zhenghui Liu, Chengyan Zheng, Yanfeng Ding, She Tang, Jun Zhang, Chengqiang Ding, Wei Gu and Jihong Hu and has published in prestigious journals such as Scientific Reports, Soil Biology and Biochemistry and Field Crops Research.

In The Last Decade

Congdang Yang

10 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Congdang Yang China	9	307	137	60	60	38	10	377
Lyudmila Zotova Kazakhstan	6	369 1.2×	110 0.8×	81 1.4×	24 0.4×	53 1.4×	13	431
P. Liu China	8	382 1.2×	151 1.1×	58 1.0×	37 0.6×	46 1.2×	9	425
Diego Cerrudo Argentina	10	359 1.2×	240 1.8×	32 0.5×	86 1.4×	69 1.8×	10	446
Xiaolong Yang China	7	345 1.1×	47 0.3×	38 0.6×	66 1.1×	53 1.4×	12	415
Dianliang Peng China	9	385 1.3×	266 1.9×	67 1.1×	55 0.9×	16 0.4×	17	465
Vladimir Shvidchenko Kazakhstan	4	351 1.1×	106 0.8×	67 1.1×	24 0.4×	44 1.2×	9	395
Ana Páez-García United States	8	429 1.4×	63 0.5×	115 1.9×	35 0.6×	26 0.7×	10	472
Shailesh Kumar Singh India	10	357 1.2×	62 0.5×	54 0.9×	42 0.7×	126 3.3×	18	423
Qiuwen Zhan China	10	189 0.6×	67 0.5×	79 1.3×	38 0.6×	72 1.9×	32	300
Francois Koekemoer Australia	2	314 1.0×	102 0.7×	48 0.8×	23 0.4×	41 1.1×	4	355

Countries citing papers authored by Congdang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Congdang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congdang Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Hu, Jihong, Tao Zeng, Liyu Huang, et al.. (2020). Identification of Key Genes for the Ultrahigh Yield of Rice Using Dynamic Cross-Tissue Network Analysis. Genomics Proteomics & Bioinformatics. 18(3). 256–270. 11 indexed citations

Zhong, Yangquanwei, Jihong Hu, Shilai Zhang, et al.. (2020). Soil microbial mechanisms promoting ultrahigh rice yield. Soil Biology and Biochemistry. 143. 107741–107741. 62 indexed citations

Hu, Jihong, Tao Zeng, Qian Qian, et al.. (2018). Unravelling miRNA regulation in yield of rice (Oryza sativa) based on differential network model. Scientific Reports. 8(1). 8498–8498. 31 indexed citations

Li, Ganghua, Jun Zhang, Congdang Yang, et al.. (2016). Population Characteristics of High‐Yielding Rice under Different Densities. Agronomy Journal. 108(4). 1415–1423. 12 indexed citations

Yang, Congdang, et al.. (2014). Evaluation of three different promoters driving gene expression in developing chicken embryo by using in vivo electroporation. Genetics and Molecular Research. 13(1). 1270–1277. 7 indexed citations

Li, Ganghua, Jun Zhang, Congdang Yang, et al.. (2014). Optimal yield-related attributes of irrigated rice for high yield potential based on path analysis and stability analysis. The Crop Journal. 2(4). 235–243. 22 indexed citations

Zhang, Jun, Ganghua Li, Zhenghui Liu, et al.. (2014). Lodging resistance characteristics of high-yielding rice populations. Field Crops Research. 161. 64–74. 135 indexed citations

Zhang, Jun, Ganghua Li, Wujun Zhang, et al.. (2013). Lodging Resistance of Super-Hybrid Rice Y Liangyou 2 in Two Ecological Regions. ACTA AGRONOMICA SINICA. 39(4). 682–682. 15 indexed citations

Li, Ganghua, Lihong Xue, Wei Gu, et al.. (2009). Comparison of yield components and plant type characteristics of high-yield rice between Taoyuan, a ‘special eco-site’ and Nanjing, China. Field Crops Research. 112(2-3). 214–221. 70 indexed citations

10.

Jia, Wenwen, Weifeng Yang, Anmin Lei, et al.. (2007). A caprine chimera produced by injection of embryonic germ cells into a blastocyst. Theriogenology. 69(3). 340–348. 12 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.

Explore authors with similar magnitude of impact