Congying Yuan

474 total citations
23 papers, 322 citations indexed

About

Congying Yuan is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Congying Yuan has authored 23 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Molecular Biology and 3 papers in Agronomy and Crop Science. Recurrent topics in Congying Yuan's work include Plant Stress Responses and Tolerance (8 papers), Wheat and Barley Genetics and Pathology (5 papers) and Plant nutrient uptake and metabolism (5 papers). Congying Yuan is often cited by papers focused on Plant Stress Responses and Tolerance (8 papers), Wheat and Barley Genetics and Pathology (5 papers) and Plant nutrient uptake and metabolism (5 papers). Congying Yuan collaborates with scholars based in China, United States and Australia. Congying Yuan's co-authors include Xinhong Guo, Hongping Chang, Xianming Chen, Deven R. See, Wenjun Xiao, Shuai Hu, Yu Wang, M. N. Wang, Xuanming Liu and Robert S. Zemetra and has published in prestigious journals such as PLoS ONE, Journal of Experimental Botany and Molecules.

In The Last Decade

Congying Yuan

22 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congying Yuan China 11 257 140 39 17 17 23 322
Jyoti Devi India 11 215 0.8× 108 0.8× 24 0.6× 29 1.7× 22 1.3× 47 377
Longhua Zhou China 11 313 1.2× 283 2.0× 25 0.6× 14 0.8× 10 0.6× 28 457
Charles Hawkins United States 8 268 1.0× 221 1.6× 43 1.1× 24 1.4× 25 1.5× 9 378
Everlyne M’mbone Muleke China 13 309 1.2× 260 1.9× 17 0.4× 10 0.6× 25 1.5× 17 384
Nour O. Gadalla Saudi Arabia 11 296 1.2× 225 1.6× 41 1.1× 9 0.5× 13 0.8× 20 404
Xu‐Xu Huang China 8 329 1.3× 279 2.0× 18 0.5× 7 0.4× 20 1.2× 8 455
K. C. Babitha India 7 315 1.2× 224 1.6× 23 0.6× 6 0.4× 12 0.7× 8 369
Yi Jing China 9 356 1.4× 167 1.2× 20 0.5× 17 1.0× 5 0.3× 20 448
Hongping Chang China 10 247 1.0× 133 0.9× 15 0.4× 33 1.9× 11 0.6× 12 293

Countries citing papers authored by Congying Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Congying Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congying Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Congying Yuan. A scholar is included among the top collaborators of Congying Yuan 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 Congying Yuan. Congying Yuan 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.
Ren, Yuqing, Congying Yuan, Yuhao Ba, et al.. (2025). 3D Bioprinting for Engineering Organoids and Organ‐on‐a‐Chip: Developments and Applications. Medicinal Research Reviews. 45(6). 1630–1650. 5 indexed citations
2.
Tian, Yingying, Xiaojun Zhou, Huiyuan Ya, et al.. (2024). Widely targeted metabolomics reveals differences in metabolites of Paeonia lactiflora cultivars. PLoS ONE. 19(4). e0298194–e0298194. 6 indexed citations
3.
4.
Han, Jianming, et al.. (2023). OsIPK2, a Rice Inositol Polyphosphate Kinase Gene, Is Involved in Phosphate Homeostasis and Root Development. Plant and Cell Physiology. 64(8). 893–905. 4 indexed citations
5.
Yuan, Congying, Yidan Qiao, Zhaolei Zhang, et al.. (2023). Studying Fluorescence Sensing of Acetone and Tryptophan and Antibacterial Properties Based on Zinc-Based Triple Interpenetrating Metal–Organic Skeletons. Molecules. 28(21). 7315–7315. 7 indexed citations
6.
Li, Renshan, Yu Wang, Congying Yuan, et al.. (2023). Leaf economics spectrum prevails over nutrient resorption in regulating the temperature sensitivity of litter decomposition in a subtropical forest ecosystem. Biology and Fertility of Soils. 59(8). 901–910. 1 indexed citations
7.
Wu, Hongxia, et al.. (2021). Effects of Fruit Bagging on Anthocyanin Accumulation and Related Gene Expression in Peach. Journal of the American Society for Horticultural Science. 146(4). 217–223. 8 indexed citations
8.
Yuan, Congying, Jianming Han, Hongping Chang, & Wenjun Xiao. (2020). Arabidopsis CK2 family gene CKB3 involved in abscisic acid signaling. Brazilian Journal of Biology. 81(2). 318–325. 2 indexed citations
9.
Liu, Lu, Congying Yuan, Meinan Wang, Deven R. See, & Xianming Chen. (2020). Mapping Quantitative Trait Loci for High-Temperature Adult-Plant Resistance to Stripe Rust in Spring Wheat PI 197734 Using a Doubled Haploid Population and Genotyping by Multiplexed Sequencing. Frontiers in Plant Science. 11. 8 indexed citations
10.
Yuan, Congying, et al.. (2019). QTL analysis of durable stripe rust resistance in the North American winter wheat cultivar Skiles. Theoretical and Applied Genetics. 132(6). 1677–1691. 33 indexed citations
11.
Li, Husheng, et al.. (2018). CKB1 regulates expression of ribosomal protein L10 family gene and plays a role in UV‐B response. Plant Biology. 22(S1). 143–152. 10 indexed citations
12.
Xiao, Wenjun, Shuai Hu, Jingru Luo, et al.. (2017). A glucuronokinase gene in Arabidopsis, AtGlcAK, is involved in drought tolerance by modulating sugar metabolism. Plant Molecular Biology Reporter. 35(2). 298–311. 15 indexed citations
13.
Yuan, Congying, Hongping Chang, Wenjun Xiao, et al.. (2017). CKB1 is involved in abscisic acid and gibberellic acid signaling to regulate stress responses in Arabidopsis thaliana. Journal of Plant Research. 130(3). 587–598. 14 indexed citations
14.
15.
Yuan, Congying, Ping Wang, Wenjun Xiao, et al.. (2015). Genetic diversity revealed by morphological traits and ISSR markers in 48 Okras (Abelmoschus escullentus L.). Physiology and Molecular Biology of Plants. 21(3). 359–364. 21 indexed citations
16.
Xiao, Wenjun, Hongping Chang, Ping Zhou, et al.. (2015). Genome-wide identification, classification and expression analysis of GHMP genes family in Arabidopsis thaliana. Österreichische Botanische Zeitschrift. 301(8). 2125–2140. 11 indexed citations
17.
Wang, Yu, Hongping Chang, Shuai Hu, et al.. (2014). Plastid casein kinase 2 knockout reduces abscisic acid (ABA) sensitivity, thermotolerance, and expression of ABA- and heat-stress-responsive nuclear genes. Journal of Experimental Botany. 65(15). 4159–4175. 59 indexed citations
18.
Zhao, Qiong, Dashi Yu, Hongping Chang, et al.. (2013). Regulation and function of Arabidopsis AtGALK2 gene in abscisic acid response signaling. Molecular Biology Reports. 40(12). 6605–6612. 12 indexed citations
19.
Cui, Yi, Xinhong Guo, Hongping Chang, et al.. (2012). Arabidopsis casein kinase 1-like 2 involved in abscisic acid signal transduction pathways. Journal of Plant Interactions. 9(1). 19–25. 9 indexed citations
20.
Peng, Juan, Dashi Yu, Liqun Wang, et al.. (2012). Arabidopsis F-box gene FOA1 involved in ABA signaling. Science China Life Sciences. 55(6). 497–506. 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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