Wenyi Mi

2.1k total citations
30 papers, 1.3k citations indexed

About

Wenyi Mi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Wenyi Mi has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Immunology. Recurrent topics in Wenyi Mi's work include Ubiquitin and proteasome pathways (16 papers), Protein Degradation and Inhibitors (10 papers) and Epigenetics and DNA Methylation (5 papers). Wenyi Mi is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Protein Degradation and Inhibitors (10 papers) and Epigenetics and DNA Methylation (5 papers). Wenyi Mi collaborates with scholars based in China, United States and Canada. Wenyi Mi's co-authors include Wengong Yu, Yuchao Gu, Cuifang Han, Haiyan Liu, Jing Yang, Feng Han, Xinzhi Lu, Xinling Zhang, Xiaobing Shi and Tatiana G. Kutateladze and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Wenyi Mi

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenyi Mi China	18	1.1k	331	191	190	148	30	1.3k
Vanessa Dehennaut France	21	1.2k 1.1×	532 1.6×	486 2.5×	110 0.6×	144 1.0×	34	1.4k
Beth Apsel United States	7	1.1k 1.0×	161 0.5×	158 0.8×	181 1.0×	113 0.8×	7	1.5k
Kee Chuan Goh Singapore	16	596 0.5×	197 0.6×	154 0.8×	389 2.0×	72 0.5×	26	1.1k
Olusegun Williams United States	7	996 0.9×	190 0.6×	143 0.7×	191 1.0×	55 0.4×	7	1.3k
Nerea Allende-Vega France	22	1.0k 0.9×	302 0.9×	113 0.6×	536 2.8×	225 1.5×	27	1.4k
Huadong Pei China	14	628 0.6×	194 0.6×	52 0.3×	278 1.5×	173 1.2×	18	931
Luciana P. Schwab United States	11	752 0.7×	261 0.8×	134 0.7×	269 1.4×	364 2.5×	15	1.1k
Bibiana I. Ferreira Portugal	17	633 0.6×	199 0.6×	69 0.4×	108 0.6×	152 1.0×	34	965
Won Ho Yang South Korea	13	1.0k 0.9×	476 1.4×	347 1.8×	105 0.6×	112 0.8×	24	1.2k
Ryohei Furumai Japan	14	1.7k 1.5×	105 0.3×	216 1.1×	484 2.5×	119 0.8×	17	1.8k

Countries citing papers authored by Wenyi Mi

Since Specialization

Citations

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

Fields of papers citing papers by Wenyi Mi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyi Mi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Yueling, et al.. (2025). Protocol for monitoring the stability of transcription factor EB using global protein stability assay. STAR Protocols. 6(4). 104141–104141.

Li, Yanran, Jing Sun, Qiqing Zhang, et al.. (2025). Design of PROTACs utilizing the E3 ligase GID4 for targeted protein degradation. Nature Structural & Molecular Biology. 32(9). 1825–1837. 4 indexed citations

Zhou, Mengyu, Xiaolu Wang, Jiangtao Li, et al.. (2024). Molecular insights into degron recognition by CRL5ASB7 ubiquitin ligase. Nature Communications. 15(1). 6177–6177. 2 indexed citations

Wang, Xiaolu, Lingling Wang, Zhili Zhou, et al.. (2024). The ATAC complex represses the transcriptional program of the autophagy-lysosome pathway via its E3 ubiquitin ligase activity. Cell Reports. 43(12). 115033–115033. 4 indexed citations

Yan, Xiaojie, Xinxin Yuan, Bing Zhang, et al.. (2024). Molecular basis of SAP05-mediated ubiquitin-independent proteasomal degradation of transcription factors. Nature Communications. 15(1). 1170–1170. 5 indexed citations

Zhu, Kaixiang, Lili Song, Tong-Yun Wang, et al.. (2024). SARS-CoV-2 ORF10 hijacking ubiquitination machinery reveals potential unique drug targeting sites. Acta Pharmaceutica Sinica B. 14(9). 4164–4173. 1 indexed citations

Liu, Fan, Yuxin Cao, Feng Gao, et al.. (2024). Metformin rejuvenates Nap1l2‐impaired immunomodulation of bone marrow mesenchymal stem cells via metabolic reprogramming. Cell Proliferation. 57(7). e13612–e13612. 5 indexed citations

Wang, Xiaolu, et al.. (2023). Glutathione-responsive PROTAC for targeted degradation of ERα in breast cancer cells. Bioorganic & Medicinal Chemistry. 96. 117526–117526. 10 indexed citations

Wang, Xiaolu, Xiaojie Yan, Qing Yang, et al.. (2023). Recognition of an Ala-rich C-degron by the E3 ligase Pirh2. Nature Communications. 14(1). 2474–2474. 7 indexed citations

10.

Zhao, Yueling, Xiaojie Yan, Chen Ye, et al.. (2022). CRL2ZER1/ZYG11B recognizes small N-terminal residues for degradation. Nature Communications. 13(1). 7636–7636. 18 indexed citations

11.

Yan, Xiaojie, Bing Zhang, Lili Song, et al.. (2022). C-terminal glutamine acts as a C-degron targeted by E3 ubiquitin ligase TRIM7. Proceedings of the National Academy of Sciences. 119(30). e2203218119–e2203218119. 23 indexed citations

12.

Yan, Xiaojie, Xiaolu Wang, Mengqi Zhou, et al.. (2021). Molecular basis for ubiquitin ligase CRL2FEM1C-mediated recognition of C-degron. Nature Chemical Biology. 17(3). 263–271. 30 indexed citations

13.

Mi, Wenyi, Yi Zhang, Jie Lyu, et al.. (2018). The ZZ-type zinc finger of ZZZ3 modulates the ATAC complex-mediated histone acetylation and gene activation. Nature Communications. 9(1). 3759–3759. 52 indexed citations

14.

Klein, Brianna J., Kendra R. Vann, Forest H. Andrews, et al.. (2018). Structural insights into the π-π-π stacking mechanism and DNA-binding activity of the YEATS domain. Nature Communications. 9(1). 45 indexed citations

15.

Zhang, Yi, Su Ran Mun, Juan F. Linares, et al.. (2018). ZZ-dependent regulation of p62/SQSTM1 in autophagy. Nature Communications. 9(1). 4373–4373. 78 indexed citations

16.

Zhu, Sen, Dongyu Zhao, Yan Lin, et al.. (2018). BMI1 regulates androgen receptor in prostate cancer independently of the polycomb repressive complex 1. Nature Communications. 9(1). 500–500. 63 indexed citations

17.

Zhang, Yi, Yongming Xue, Jiejun Shi, et al.. (2018). The ZZ domain of p300 mediates specificity of the adjacent HAT domain for histone H3. Nature Structural & Molecular Biology. 25(9). 841–849. 56 indexed citations

18.

Mi, Wenyi, Haipeng Guan, Jie Lyu, et al.. (2017). YEATS2 links histone acetylation to tumorigenesis of non-small cell lung cancer. Nature Communications. 8(1). 1088–1088. 103 indexed citations

19.

Han, Cuifang, Yuchao Gu, Hui Shan, et al.. (2017). O-GlcNAcylation of SIRT1 enhances its deacetylase activity and promotes cytoprotection under stress. Nature Communications. 8(1). 1491–1491. 100 indexed citations

20.

Gu, Yuchao, Wenyi Mi, Yuqing Ge, et al.. (2010). GlcNAcylation Plays an Essential Role in Breast Cancer Metastasis. Cancer Research. 70(15). 6344–6351. 182 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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