Yadi Xing

613 total citations
23 papers, 414 citations indexed

About

Yadi Xing is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Yadi Xing has authored 23 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 16 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Yadi Xing's work include Photosynthetic Processes and Mechanisms (7 papers), Plant Gene Expression Analysis (6 papers) and Plant Stress Responses and Tolerance (5 papers). Yadi Xing is often cited by papers focused on Photosynthetic Processes and Mechanisms (7 papers), Plant Gene Expression Analysis (6 papers) and Plant Stress Responses and Tolerance (5 papers). Yadi Xing collaborates with scholars based in China, France and United States. Yadi Xing's co-authors include Guanghua He, Xianchun Sang, Fuguang Li, Maozhi Ren, Lu Qiu, Xiaoyan Zhu, Dan Du, Lei Luo, Lulu Liu and Xiumei Luo and has published in prestigious journals such as The Plant Journal, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Yadi Xing

23 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yadi Xing China 12 308 231 31 25 17 23 414
Quanhui Li China 13 334 1.1× 234 1.0× 30 1.0× 14 0.6× 11 0.6× 22 487
Xiaomin Liu China 11 195 0.6× 206 0.9× 23 0.7× 14 0.6× 21 1.2× 40 395
Yuanyuan Cui China 12 329 1.1× 417 1.8× 37 1.2× 14 0.6× 8 0.5× 25 646
Matteo Citterico Finland 4 455 1.5× 182 0.8× 23 0.7× 7 0.3× 11 0.6× 4 539
D. Theertha Prasad India 7 420 1.4× 365 1.6× 21 0.7× 9 0.4× 13 0.8× 15 554
Wenxin Liu China 8 755 2.5× 415 1.8× 43 1.4× 12 0.5× 13 0.8× 11 876
Yunxia Qin China 9 474 1.5× 440 1.9× 20 0.6× 17 0.7× 14 0.8× 18 683
Xiangnan Meng China 12 314 1.0× 203 0.9× 46 1.5× 29 1.2× 15 0.9× 29 405
Danyu Kong China 13 492 1.6× 315 1.4× 13 0.4× 11 0.4× 10 0.6× 18 572
Yayun Yang China 8 329 1.1× 186 0.8× 68 2.2× 15 0.6× 16 0.9× 13 425

Countries citing papers authored by Yadi Xing

Since Specialization
Citations

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

Fields of papers citing papers by Yadi Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadi Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Yadi Xing. A scholar is included among the top collaborators of Yadi Xing 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 Yadi Xing. Yadi Xing 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.
Wang, Peng, Hang Zhao, Guilin Li, et al.. (2023). Co-expression of multi-gene in cotton promotes the aggregation of multi-resistance and yield traits. Industrial Crops and Products. 204. 117311–117311. 2 indexed citations
2.
Liu, Lulu, Lu Qiu, Lei Luo, et al.. (2023). Comparisons between Plant and Animal Stem Cells Regarding Regeneration Potential and Application. International Journal of Molecular Sciences. 24(5). 4392–4392. 6 indexed citations
3.
Guo, Wei, Yadi Xing, Xiumei Luo, et al.. (2023). Reactive Oxygen Species: A Crosslink between Plant and Human Eukaryotic Cell Systems. International Journal of Molecular Sciences. 24(17). 13052–13052. 48 indexed citations
4.
Luo, Lei, Ying Wang, Lu Qiu, et al.. (2023). MYC2: A Master Switch for Plant Physiological Processes and Specialized Metabolite Synthesis. International Journal of Molecular Sciences. 24(4). 3511–3511. 46 indexed citations
5.
Wei, Zhenzhen, Faiza Ali, Ye Wang, et al.. (2022). Transcriptomic analysis reveals the key role of histone deacetylation via mediating different phytohormone signalings in fiber initiation of cotton. Cell & Bioscience. 12(1). 107–107. 9 indexed citations
6.
Xing, Yadi, et al.. (2022). GhMYC2 activates cytochrome P450 gene CYP71BE79 to regulate gossypol biosynthesis in cotton. Planta. 256(3). 63–63. 11 indexed citations
7.
Qiu, Lu, Wenshan Zhao, Yadi Xing, et al.. (2022). Dysfunction of the energy sensor NFE2L1 triggers uncontrollable AMPK signaling and glucose metabolism reprogramming. Cell Death and Disease. 13(5). 501–501. 25 indexed citations
8.
Chen, Yanli, Hongxia Yu, Ye Wang, et al.. (2022). Uniconazole Augments Abscisic Acid in Promoting Somatic Embryogenesis in Cotton (Gossypium hirsutum L.). Frontiers in Plant Science. 13. 865778–865778. 10 indexed citations
9.
Qiu, Lu, Lulu Liu, Lei Luo, et al.. (2021). Identification and Comprehensive Structural and Functional Analyses of the EXO70 Gene Family in Cotton. Genes. 12(10). 1594–1594. 3 indexed citations
10.
11.
Du, Dan, Changwei Zhang, Yadi Xing, et al.. (2020). The CC‐NB‐LRR OsRLR1 mediates rice disease resistance through interaction with OsWRKY19. Plant Biotechnology Journal. 19(5). 1052–1064. 47 indexed citations
12.
Zhu, Xiaoyan, Yadi Xing, Dan Du, et al.. (2020). Identification and gene mapping of the starch accumulation and premature leaf senescence mutant ossac4 in rice. Journal of Integrative Agriculture. 19(9). 2150–2164. 8 indexed citations
13.
Xing, Yadi, Nan Wang, Qiuli Zhang, et al.. (2020). SHORT‐ROOT 1 is critical to cell division and tracheary element development in rice roots. The Plant Journal. 105(5). 1179–1191. 15 indexed citations
14.
Feng, Ping, Junqiong Shi, Ting Zhang, et al.. (2019). Zebra leaf 15, a receptor-like protein kinase involved in moderate low temperature signaling pathway in rice. Rice. 12(1). 83–83. 15 indexed citations
15.
Du, Dan, Yadi Xing, Xiaochuan Chen, et al.. (2018). Semi‐dominant mutation in the cysteine‐rich receptor‐like kinase gene, ALS1, conducts constitutive defence response in rice. Plant Biology. 21(1). 25–34. 18 indexed citations
16.
Xing, Yadi, Shuang Guo, Xinlong Chen, et al.. (2018). Nitrogen Metabolism is Affected in the Nitrogen-Deficient Rice Mutant esl4 with a Calcium-Dependent Protein Kinase Gene Mutation. Plant and Cell Physiology. 59(12). 2512–2525. 15 indexed citations
17.
Xiao, Yanhua, Dan Du, Yadi Xing, et al.. (2017). Identification and Gene Mapping of Starch Accumulation and Early Senes-cence Leaf Mutant esl9 in Rice. ACTA AGRONOMICA SINICA. 43(4). 473–473. 4 indexed citations
18.
Zhu, Xiaoyan, Shuang Guo, Zhongwei Wang, et al.. (2016). Map-based cloning and functional analysis of YGL8, which controls leaf colour in rice (Oryza sativa). BMC Plant Biology. 16(1). 134–134. 57 indexed citations
19.
Xing, Yadi, Dan Du, Yanhua Xiao, et al.. (2016). Fine Mapping of a New Lesion Mimic and Early Senescence 2 (lmes2) Mutant in Rice. Crop Science. 56(4). 1550–1560. 6 indexed citations
20.
Wang, Zhongwei, Yadi Xing, Ling Wang, et al.. (2016). YGL9, encoding the putative chloroplast signal recognition particle 43 kDa protein in rice, is involved in chloroplast development. Journal of Integrative Agriculture. 15(5). 944–953. 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.

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