Aiqing Yang

744 total citations · 1 hit paper
10 papers, 315 citations indexed

About

Aiqing Yang is a scholar working on Molecular Biology, Oncology and Agronomy and Crop Science. According to data from OpenAlex, Aiqing Yang has authored 10 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Agronomy and Crop Science. Recurrent topics in Aiqing Yang's work include RNA modifications and cancer (3 papers), Crop Yield and Soil Fertility (3 papers) and Plant Molecular Biology Research (2 papers). Aiqing Yang is often cited by papers focused on RNA modifications and cancer (3 papers), Crop Yield and Soil Fertility (3 papers) and Plant Molecular Biology Research (2 papers). Aiqing Yang collaborates with scholars based in China, Germany and Taiwan. Aiqing Yang's co-authors include Gangqiao Zhou, Pengbo Cao, Yuanfeng Li, Yingwei Pan, Haoyun Zhang, Chengming Gao, Hao Lu, Cheng Quan, Yiming Lu and Shichun Lu and has published in prestigious journals such as Nature Communications, The Plant Journal and Science Advances.

In The Last Decade

Aiqing Yang

8 papers receiving 315 citations

Hit Papers

A single-cell atlas of the multicellular ecosystem of pri... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiqing Yang China 5 175 118 107 104 82 10 315
Chengming Gao China 3 152 0.9× 113 1.0× 95 0.9× 98 0.9× 74 0.9× 5 286
Shichun Lu China 3 132 0.8× 103 0.9× 84 0.8× 91 0.9× 74 0.9× 6 269
Wan-Ru Ning China 5 131 0.7× 203 1.7× 99 0.9× 113 1.1× 55 0.7× 5 349
Hangyu Liao China 7 161 0.9× 43 0.4× 166 1.6× 99 1.0× 151 1.8× 9 297
Shuya Bai China 10 178 1.0× 44 0.4× 108 1.0× 137 1.3× 34 0.4× 22 312
Caroline Hego France 7 131 0.7× 112 0.9× 178 1.7× 156 1.5× 77 0.9× 8 394
Xiaozhang Xu China 4 181 1.0× 119 1.0× 162 1.5× 61 0.6× 29 0.4× 7 331
Qijing Wang China 10 140 0.8× 56 0.5× 53 0.5× 70 0.7× 29 0.4× 11 217
Isabel Weinhäuser Brazil 5 110 0.6× 62 0.5× 49 0.5× 49 0.5× 32 0.4× 19 217

Countries citing papers authored by Aiqing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Aiqing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiqing Yang

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

All Works

10 of 10 papers shown
1.
Wang, Houmiao, Tingting Wu, Yunyun Wang, et al.. (2025). Natural variation in the cytokinin oxidase gene ZmCKX6 influences leaf morphology and yield‐related traits in maize. The Plant Journal. 123(1). e70332–e70332.
2.
Li, Pengcheng, Yunyun Wang, Xiaomin Zhang, et al.. (2025). Natural variation in a cortex/epidermis-specific transcription factor bZIP89 determines lateral root development and drought resilience in maize. Science Advances. 11(15). eadt1113–eadt1113. 3 indexed citations
3.
Yang, Aiqing, et al.. (2025). Polychlorinated biphenyls in aquatic products from Shandong, China. Food Additives and Contaminants Part B. 18(2). 127–134.
4.
Jia, Caixia, Hong‐Xing Wu, Aiqing Yang, et al.. (2024). Mechanism Research of QingReJieDu Formula for Treating Hepatitis B Virus Based on Network Pharmacology. Phytomedicine. 135. 155915–155915. 2 indexed citations
5.
Fang, Shuai, Wei Li, Baoqing Wang, et al.. (2024). Natural Variation and Association Analysis of Melatonin Synthesis Genes with Root-Related Traits in the Maize Seedling Stage. Agronomy. 14(9). 2031–2031. 1 indexed citations
6.
Lu, Hao, Yingwei Pan, Aiqing Yang, et al.. (2024). Characterization of the distinct immune microenvironments between hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Cancer Letters. 588. 216799–216799. 8 indexed citations
7.
Lu, Yiming, Aiqing Yang, Cheng Quan, et al.. (2022). A single-cell atlas of the multicellular ecosystem of primary and metastatic hepatocellular carcinoma. Nature Communications. 13(1). 4594–4594. 252 indexed citations breakdown →
8.
Cao, Pengbo, Aiqing Yang, Peiyao Li, et al.. (2021). Genomic gain of RRS1 promotes hepatocellular carcinoma through reducing the RPL11-MDM2-p53 signaling. Science Advances. 7(35). 22 indexed citations
9.
Lu, Yiming, Aiqing Yang, Haoyun Zhang, et al.. (2020). A Single-Cell Atlas of the Multicellular Ecosystem of Primary and Metastatic Hepatocellular Carcinoma. SSRN Electronic Journal. 21 indexed citations
10.
Cao, Pengbo, Aiqing Yang, Xia Xia, et al.. (2018). Downregulation of ZC3H14 driven by chromosome 14q31 deletion promotes hepatocellular carcinoma progression by activating integrin signaling. Carcinogenesis. 40(3). 474–486. 6 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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