Chengwei Yang

4.9k total citations
104 papers, 3.4k citations indexed

About

Chengwei Yang is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Chengwei Yang has authored 104 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 66 papers in Plant Science and 9 papers in Oncology. Recurrent topics in Chengwei Yang's work include Plant Molecular Biology Research (35 papers), Photosynthetic Processes and Mechanisms (31 papers) and Ubiquitin and proteasome pathways (21 papers). Chengwei Yang is often cited by papers focused on Plant Molecular Biology Research (35 papers), Photosynthetic Processes and Mechanisms (31 papers) and Ubiquitin and proteasome pathways (21 papers). Chengwei Yang collaborates with scholars based in China, United States and Taiwan. Chengwei Yang's co-authors include Jianbin Lai, Qi Xie, Shengchun Zhang, Yiyue Zhang, Qingzhen Zhao, Yin Li, Hui‐Shan Guo, Shaohong Qu, Hao Chen and Ting Gao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Chengwei Yang

96 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengwei Yang China 33 2.7k 2.2k 134 109 103 104 3.4k
Dongwon Baek South Korea 34 2.9k 1.1× 1.8k 0.8× 94 0.7× 90 0.8× 75 0.7× 60 3.5k
Diego Mauricio Riaño‐Pachón Brazil 27 2.3k 0.8× 2.3k 1.0× 108 0.8× 156 1.4× 48 0.5× 71 3.5k
Sung Chul Lee South Korea 38 5.2k 1.9× 2.4k 1.1× 200 1.5× 99 0.9× 55 0.5× 132 5.8k
Young-Hee Cho South Korea 17 4.7k 1.7× 3.6k 1.6× 147 1.1× 105 1.0× 140 1.4× 23 5.7k
Yaorong Wu China 30 2.9k 1.1× 1.9k 0.9× 236 1.8× 162 1.5× 52 0.5× 39 3.4k
Gabino Ríos Spain 26 2.3k 0.8× 2.1k 1.0× 253 1.9× 76 0.7× 64 0.6× 50 3.1k
Justin W. Walley United States 28 2.4k 0.9× 1.8k 0.8× 231 1.7× 203 1.9× 81 0.8× 61 3.3k
Soo Young Kim South Korea 30 4.4k 1.6× 3.0k 1.4× 50 0.4× 141 1.3× 55 0.5× 64 5.1k
Naohiro Kato United States 27 2.0k 0.7× 1.7k 0.8× 273 2.0× 104 1.0× 36 0.3× 56 2.7k
Genji Qin China 34 3.1k 1.1× 2.5k 1.1× 131 1.0× 128 1.2× 64 0.6× 57 3.5k

Countries citing papers authored by Chengwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chengwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengwei Yang. A scholar is included among the top collaborators of Chengwei 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 Chengwei Yang. Chengwei Yang 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
2.
3.
Li, Chi, Chengwei Yang, & Jianbin Lai. (2025). SUMOylation: Interplaying with the plant disease triangle. PLoS Pathogens. 21(7). e1013327–e1013327.
4.
Xia, Simin, et al.. (2025). SUMOylation of BAK1 regulates its co-receptor function for specifically activating brassinosteroid response. Plant Communications. 6(12). 101384–101384. 1 indexed citations
5.
Zheng, Jiexuan, Hongbo Li, Chengwei Yang, et al.. (2024). The U-box E3 ubiquitin ligase PUB35 negatively regulates ABA signaling through AFP1-mediated degradation of ABI5. The Plant Cell. 36(9). 3277–3297. 13 indexed citations
6.
Xia, Simin, Yue Chen, Jianbin Lai, et al.. (2024). Functional characterization of protein SUMOylation in the miRNA transcription regulation during heat stress in Arabidopsis. The Plant Genome. 17(4). e20511–e20511.
7.
Han, Danlu, et al.. (2024). S-acylation of a non-secreted peptide controls plant immunity via secreted-peptide signal activation. EMBO Reports. 25(2). 489–505. 7 indexed citations
8.
Han, Danlu, Jianwei Liao, Xiaoyan Tang, et al.. (2024). Heat-induced SUMOylation differentially affects bacterial effectors in plant cells. The Plant Cell. 36(6). 2103–2116. 4 indexed citations
9.
Chang, Zhenyi, Yiqi Li, Zhufeng Chen, et al.. (2023). Ornithine δ‐aminotransferase OsOAT is critical for male fertility and cold tolerance during rice plant development. The Plant Journal. 114(6). 1301–1318. 6 indexed citations
10.
Li, Shangze, et al.. (2022). SUMO E3 ligase AtMMS21-dependent SUMOylation of AUXIN/INDOLE-3-ACETIC ACID 17 regulates auxin signaling. PLANT PHYSIOLOGY. 191(3). 1871–1883. 14 indexed citations
11.
Zheng, Xiaoting, Caijuan Wang, Wenxiong Lin, et al.. (2022). Importation of chloroplast proteins under heat stress is facilitated by their SUMO conjugations. New Phytologist. 235(1). 173–187. 16 indexed citations
12.
Huang, Junjie, Qiyi Feng, Feige Wang, et al.. (2022). SUMOylation facilitates the assembly of a Nuclear Factor‐Y complex to enhance thermotolerance in Arabidopsis. Journal of Integrative Plant Biology. 65(3). 692–702. 12 indexed citations
13.
Jiang, Jieming, Danlu Han, Zhonghui Zhang, et al.. (2022). A diRNA–protein scaffold module mediates SMC5/6 recruitment in plant DNA repair. The Plant Cell. 34(10). 3899–3914. 13 indexed citations
14.
Li, Min, et al.. (2021). An ABHD17-like hydrolase screening system to identify de-S-acylation enzymes of protein substrates in plant cells. The Plant Cell. 33(10). 3235–3249. 14 indexed citations
15.
Wang, Feige, Yiyang Liu, Danlu Han, et al.. (2020). SUMOylation Stabilizes the Transcription Factor DREB2A to Improve Plant Thermotolerance. PLANT PHYSIOLOGY. 183(1). 41–50. 51 indexed citations
16.
Liu, Yiyang, Yu Gao, Tao Li, et al.. (2015). OSABC1K8 , AN ABC1-LIKE KINASE GENE, MEDIATES ABSCISIC ACID SENSITIVITY AND DEHYDRATION TOLERANCE RESPONSE IN RICE SEEDLINGS. Pakistan Journal of Botany. 47(2). 603–613. 5 indexed citations
17.
Lai, Jianbin, et al.. (2015). Two homologous proteinS-acyltransferases, PAT13 and PAT14, cooperatively regulate leaf senescence inArabidopsis. Journal of Experimental Botany. 66(20). 6345–6353. 34 indexed citations
18.
Li, Taotao, Hong Zhu, Qixian Wu, et al.. (2015). Comparative proteomic approaches to analysis of litchi pulp senescence after harvest. Food Research International. 78. 274–285. 32 indexed citations
19.
Yang, Songguang, et al.. (2012). Phylogenetic, structure and expression analysis of ABC1Ps gene family in rice. Biologia Plantarum. 56(4). 667–674. 10 indexed citations
20.
Yang, Chengwei, et al.. (2002). Effects of b-carotene feeding on chlorophyll fluorescence, zeaxanthin content, and D1 protein turnover in rice (Oryza sativa L.) leaves exposed to high irradiance. Zhōngyāng yánjiūyuàn zhíwùxué huikān/Zhōngyāng yánjiūyuàn zhíwùxué huikān. 43(3). 181–185. 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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