Weili Miao

2.2k total citations · 1 hit paper
45 papers, 1.2k citations indexed

About

Weili Miao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Weili Miao has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Weili Miao's work include RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (11 papers) and RNA Research and Splicing (10 papers). Weili Miao is often cited by papers focused on RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (11 papers) and RNA Research and Splicing (10 papers). Weili Miao collaborates with scholars based in United States, China and Netherlands. Weili Miao's co-authors include Yinsheng Wang, Lin Li, Hailing Jin, Ming Huang, Qiang Cai, Chien‐Yu Huang, Shumei Wang, Lulu Qiao, Baoye He and Xiaoxia Dai and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Weili Miao

44 papers receiving 1.2k citations

Hit Papers

RNA-binding proteins contribute to small RNA loading in p... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weili Miao United States 17 923 375 145 105 72 45 1.2k
Mirta Mittelstedt Leal de Sousa Norway 20 977 1.1× 161 0.4× 79 0.5× 151 1.4× 57 0.8× 37 1.2k
Sabine S. Lange United States 17 985 1.1× 265 0.7× 88 0.6× 178 1.7× 71 1.0× 21 1.4k
Xi Zheng China 14 862 0.9× 537 1.4× 145 1.0× 129 1.2× 22 0.3× 25 1.3k
Harufumi Maki Japan 16 1.5k 1.6× 303 0.8× 80 0.6× 166 1.6× 63 0.9× 59 1.8k
Michael S. DeMott United States 20 1.6k 1.8× 277 0.7× 63 0.4× 216 2.1× 66 0.9× 37 1.8k
Aghdass Rasouli‐Nia Canada 14 1.2k 1.3× 257 0.7× 88 0.6× 357 3.4× 50 0.7× 22 1.3k
Ganesh Nagaraju India 22 1.1k 1.2× 206 0.5× 61 0.4× 459 4.4× 64 0.9× 36 1.5k
Ottar Sundheim Norway 14 1.6k 1.7× 261 0.7× 91 0.6× 210 2.0× 49 0.7× 18 1.8k
Michal A. Kurowski Poland 8 949 1.0× 146 0.4× 72 0.5× 173 1.6× 69 1.0× 8 1.2k
Ayumi Yamada Japan 16 1.6k 1.7× 581 1.5× 174 1.2× 232 2.2× 159 2.2× 34 1.9k

Countries citing papers authored by Weili Miao

Since Specialization
Citations

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

Fields of papers citing papers by Weili Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weili Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Weili Miao. A scholar is included among the top collaborators of Weili Miao 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 Weili Miao. Weili Miao 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.
Miao, Weili, Douglas F. Porter, Vanessa Lopez-Pajares, & Paul A. Khavari. (2025). Regulation of RNA-binding proteins by small biomolecules. Nature Reviews Molecular Cell Biology. 27(3). 213–233.
2.
Miao, Weili, et al.. (2022). Targeted Profiling of Epitranscriptomic Reader, Writer, and Eraser Proteins Accompanied with Radioresistance in Breast Cancer Cells. Analytical Chemistry. 94(3). 1525–1530. 12 indexed citations
4.
Mondal, Smarajit, Muthukumar Ramanathan, Weili Miao, et al.. (2022). PROBER identifies proteins associated with programmable sequence-specific DNA in living cells. Nature Methods. 19(8). 959–968. 9 indexed citations
5.
Miao, Weili, et al.. (2021). Targeted Proteomic Analysis Revealed Kinome Reprogramming during Acquisition of Radioresistance in Breast Cancer Cells. Journal of Proteome Research. 20(5). 2830–2838. 9 indexed citations
6.
Cai, Qian, Lin Li, Kailin Yu, et al.. (2021). Modulation of N-terminal methyltransferase 1 by an N6-methyladenosine-based epitranscriptomic mechanism. Biochemical and Biophysical Research Communications. 546. 54–58. 10 indexed citations
7.
Dong, Xuejiao, Jianan Sun, Weili Miao, Chia‐en A. Chang, & Yinsheng Wang. (2021). Proteome-Wide Characterizations of N6-Methyl-Adenosine Triphosphate- and N6-Furfuryl-Adenosine Triphosphate-Binding Capabilities of Kinases. Analytical Chemistry. 93(39). 13251–13259. 4 indexed citations
8.
Miao, Weili, et al.. (2021). Quantitative Proteomic Analysis Revealed Broad Roles of N6-Methyladenosine in Heat Shock Response. Journal of Proteome Research. 20(7). 3611–3620. 6 indexed citations
9.
Yu, Kailin, et al.. (2021). Quantitative proteomics revealed new functions of ALKBH4. PROTEOMICS. 22(7). e2100231–e2100231. 5 indexed citations
10.
Miao, Weili, Lin Li, Xiaochuan Liu, et al.. (2020). A Targeted Quantitative Proteomic Method Revealed a Substantial Reprogramming of Kinome during Melanoma Metastasis. Scientific Reports. 10(1). 2485–2485. 5 indexed citations
11.
Guo, Lei, et al.. (2020). Discovery of TBC1D7 as a Potential Driver for Melanoma Cell Invasion. PROTEOMICS. 20(14). e1900347–e1900347. 7 indexed citations
12.
Miao, Weili & Yinsheng Wang. (2019). Quantitative Interrogation of the Human Kinome Perturbed by Two BRAF Inhibitors. Journal of Proteome Research. 18(6). 2624–2631. 10 indexed citations
13.
Miao, Weili, Lin Li, & Yinsheng Wang. (2019). High-Throughput Targeted Quantitative Analysis of the Interaction between HSP90 and Kinases. Analytical Chemistry. 91(18). 11507–11509. 5 indexed citations
14.
Miao, Weili, Lei Guo, & Yinsheng Wang. (2019). Imatinib-Induced Changes in Protein Expression and ATP-Binding Affinities of Kinases in Chronic Myelocytic Leukemia Cells. Analytical Chemistry. 91(5). 3209–3214. 18 indexed citations
15.
Dai, Xiaoxia, Gwendolyn González, Lin Li, et al.. (2019). YTHDF2 Binds to 5-Methylcytosine in RNA and Modulates the Maturation of Ribosomal RNA. Analytical Chemistry. 92(1). 1346–1354. 82 indexed citations
16.
Miao, Weili & Yinsheng Wang. (2019). Targeted Quantitative Kinome Analysis Identifies PRPS2 as a Promoter for Colorectal Cancer Metastasis. Journal of Proteome Research. 18(5). 2279–2286. 14 indexed citations
17.
Li, Lin, Weili Miao, Preston Williams, Cheng Guo, & Yinsheng Wang. (2019). SLIRP Interacts with Helicases to Facilitate 2′-O-Methylation of rRNA and to Promote Translation. Journal of the American Chemical Society. 141(28). 10958–10961. 7 indexed citations
18.
Miao, Weili, Ming Fan, Ming Huang, Jian Jian Li, & Yinsheng Wang. (2018). Targeted Profiling of Heat Shock Proteome in Radioresistant Breast Cancer Cells. Chemical Research in Toxicology. 32(2). 326–332. 12 indexed citations
19.
Miao, Weili, Lin Li, & Yinsheng Wang. (2018). A Targeted Proteomic Approach for Heat Shock Proteins Reveals DNAJB4 as a Suppressor for Melanoma Metastasis. Analytical Chemistry. 90(11). 6835–6842. 27 indexed citations
20.
Wang, Pengcheng, et al.. (2017). Arsenite Binds to the Zinc Finger Motif of TIP60 Histone Acetyltransferase and Induces Its Degradation via the 26S Proteasome. Chemical Research in Toxicology. 30(9). 1685–1693. 17 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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