Yang Wu

7.7k total citations · 3 hit papers
63 papers, 3.5k citations indexed

About

Yang Wu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Yang Wu has authored 63 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 25 papers in Plant Science and 10 papers in Genetics. Recurrent topics in Yang Wu's work include Genetic Mapping and Diversity in Plants and Animals (8 papers), GABA and Rice Research (8 papers) and Rice Cultivation and Yield Improvement (8 papers). Yang Wu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (8 papers), GABA and Rice Research (8 papers) and Rice Cultivation and Yield Improvement (8 papers). Yang Wu collaborates with scholars based in China, United States and Australia. Yang Wu's co-authors include Yi Zhao, Shuangsang Fang, Dechao Bu, Lianhe Zhao, Jincheng Guo, Peipei Huo, Zhihao Wang, Zihao He, Jingjia Liu and Shan Zhang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Development.

In The Last Decade

Yang Wu

60 papers receiving 3.5k citations

Hit Papers

KOBAS-i: intelligent prioritization and exploratory vi... 2018 2026 2020 2023 2021 2020 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Wu China 19 2.0k 925 796 429 301 63 3.5k
Shuangsang Fang China 13 2.1k 1.1× 1.3k 1.4× 427 0.5× 339 0.8× 269 0.9× 17 3.3k
Jincheng Guo China 21 1.8k 0.9× 976 1.1× 495 0.6× 302 0.7× 146 0.5× 57 3.1k
Dechao Bu China 21 3.8k 1.9× 2.8k 3.0× 863 1.1× 586 1.4× 287 1.0× 41 5.7k
Lianhe Zhao China 9 1.4k 0.7× 775 0.8× 348 0.4× 294 0.7× 137 0.5× 15 2.4k
Liang Sun China 26 2.6k 1.3× 1.8k 2.0× 491 0.6× 347 0.8× 147 0.5× 101 4.3k
Weihua Huang China 32 2.2k 1.1× 362 0.4× 839 1.1× 244 0.6× 175 0.6× 153 3.6k
Inbar Plaschkes Israel 17 3.1k 1.6× 670 0.7× 372 0.5× 705 1.6× 338 1.1× 30 5.2k
Othman Soufan Canada 14 3.1k 1.6× 794 0.9× 404 0.5× 263 0.6× 104 0.3× 19 5.0k
Mikaela Koutrouli Denmark 5 2.2k 1.1× 463 0.5× 277 0.3× 355 0.8× 117 0.4× 12 3.9k
Farrokh Mehryary Finland 8 2.1k 1.1× 460 0.5× 267 0.3× 347 0.8× 118 0.4× 15 3.8k

Countries citing papers authored by Yang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Wu. A scholar is included among the top collaborators of Yang Wu 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 Yang Wu. Yang Wu 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.
Wu, Yang, et al.. (2025). Retinal transduction profiling of diverse AAV serotypes via intravitreal injection. Journal of Virology. 99(9). e0063725–e0063725. 1 indexed citations
2.
Zhang, Fengyu, Ming Zhu, Guiquan Wang, et al.. (2025). Harnessing omics data for drug discovery and development in ovarian aging. Human Reproduction Update. 31(3). 240–268. 7 indexed citations
3.
Yan, Ying, Feng Liu, Yang Wu, et al.. (2025). Regulating the Fe/Mo ratio of FeMoO /LaTiO to boost aerobic oxidative desulfurization of diesel. Journal of Fuel Chemistry and Technology. 53(8). 1255–1268. 2 indexed citations
4.
Yu, Zengli, Yaxin Zhang, Guoxu Wang, et al.. (2024). Identification of competing endogenous RNA networks associated with circRNA and lncRNA in TCDD-induced cleft palate development. Toxicology Letters. 401. 71–81. 1 indexed citations
5.
Wang, Lingyan, Yang Wu, Guangyi Dai, et al.. (2024). Endoplasmic reticulum stress response modulator OsbZIP39 regulates cadmium accumulation via activating the expression of defensin-like gene OsCAL2 in rice. Journal of Hazardous Materials. 476. 135007–135007. 1 indexed citations
6.
Wang, Jian, Yang Wu, Shaohong Zhang, et al.. (2023). A pangenome analysis pipeline provides insights into functional gene identification in rice. Genome biology. 24(1). 19–19. 54 indexed citations
7.
Zhang, Shuangyu, et al.. (2023). The CsMYB123 and CsbHLH111 are involved in drought stress-induced anthocyanin biosynthesis in Chaenomeles speciosa. SHILAP Revista de lepidopterología. 3(1). 25–25. 11 indexed citations
8.
Wu, Yang, et al.. (2023). Physiological and Gene Expression Analysis of Herbaceous Peony Resistance to Alternaria tenuissima Infection. Horticulturae. 9(8). 862–862. 1 indexed citations
9.
Wu, Yang, Luo Chen, Junliang Zhao, et al.. (2022). Genome-Wide Association Study of Pericarp Color in Rice Using Different Germplasm and Phenotyping Methods Reveals Different Genetic Architectures. Frontiers in Plant Science. 13. 841191–841191. 11 indexed citations
10.
Hou, Rong, et al.. (2022). Genomic status of yellow-breasted bunting following recent rapid population decline. iScience. 25(7). 104501–104501. 6 indexed citations
11.
Bu, Dechao, Haitao Luo, Peipei Huo, et al.. (2021). KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis. Nucleic Acids Research. 49(W1). W317–W325. 1173 indexed citations breakdown →
12.
Li, Wanqing, Yang Wu, Qian Wu, et al.. (2021). Efficacy and safety of Shenqi Jiangtang Granules plus oral hypoglycemic agent in patients with type 2 diabetes mellitus. Medicine. 100(5). e23578–e23578. 5 indexed citations
14.
Wu, Yang, Junliang Zhao, Shaohong Zhang, et al.. (2021). Genome-Wide Association Mapping and Gene Expression Analysis Reveal the Negative Role of OsMYB21 in Regulating Bacterial Blight Resistance in Rice. Rice. 14(1). 58–58. 17 indexed citations
15.
Fang, Shuangsang, Lei Dong, Liu Liu, et al.. (2020). HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine. Nucleic Acids Research. 49(D1). D1197–D1206. 427 indexed citations breakdown →
16.
Ma, Yan, et al.. (2020). Herbaceous peony (Paeonia lactiflora Pall.) PlDELLA gene negatively regulates dormancy release and plant growth. Plant Science. 297. 110539–110539. 15 indexed citations
17.
18.
Mao, Xingxue, Jianjun Zhang, Shijuan Yan, et al.. (2019). The MKKK62-MKK3-MAPK7/14 module negatively regulates seed dormancy in rice. Rice. 12(1). 2–2. 41 indexed citations
19.
Zhao, Junliang, Yang Wu, Shaohong Zhang, et al.. (2018). Genome-wide association study and candidate gene analysis of rice cadmium accumulation in grain in a diverse rice collection. Rice. 11(1). 61–61. 89 indexed citations
20.
Wu, Yang, Binbin Shi, Xinqiang Ding, et al.. (2015). Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data. Nucleic Acids Research. 43(15). 7247–7259. 65 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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