Zhen Wei

4.9k total citations · 1 hit paper
87 papers, 3.6k citations indexed

About

Zhen Wei is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Zhen Wei has authored 87 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 33 papers in Cancer Research and 10 papers in Physiology. Recurrent topics in Zhen Wei's work include RNA modifications and cancer (35 papers), Cancer-related molecular mechanisms research (29 papers) and RNA and protein synthesis mechanisms (19 papers). Zhen Wei is often cited by papers focused on RNA modifications and cancer (35 papers), Cancer-related molecular mechanisms research (29 papers) and RNA and protein synthesis mechanisms (19 papers). Zhen Wei collaborates with scholars based in China, United Kingdom and United States. Zhen Wei's co-authors include Dongmin Liu, Jia Meng, Kunqi Chen, Daniel J. Rigden, Bowen Song, Jionglong Su, João Pedro de Magalhães, Yujiao Tang, Chunming Cheng and Xiaoyi Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Zhen Wei

80 papers receiving 3.6k citations

Hit Papers

Metabolism of Amino Acids in Cancer 2021 2026 2022 2024 2021 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
Zhen Wei China 32 2.3k 972 509 353 334 87 3.6k
Junping Kou China 40 2.9k 1.3× 432 0.4× 239 0.5× 493 1.4× 312 0.9× 175 5.2k
Kota V. Ramana United States 45 2.7k 1.2× 454 0.5× 483 0.9× 748 2.1× 385 1.2× 140 5.6k
Tao Su China 35 1.7k 0.8× 441 0.5× 215 0.4× 299 0.8× 317 0.9× 125 3.6k
Wonchae Choe South Korea 36 2.2k 1.0× 486 0.5× 183 0.4× 471 1.3× 199 0.6× 89 3.6k
Anguo Wu China 37 2.1k 1.0× 304 0.3× 341 0.7× 514 1.5× 136 0.4× 147 4.1k
Lijun Xu China 30 2.0k 0.9× 781 0.8× 305 0.6× 220 0.6× 149 0.4× 126 3.4k
Dong‐Hoon Shin South Korea 31 1.1k 0.5× 275 0.3× 296 0.6× 376 1.1× 333 1.0× 210 3.4k
Myeong Ho Jung South Korea 34 1.6k 0.7× 274 0.3× 501 1.0× 569 1.6× 174 0.5× 79 3.1k
Liwei Wu China 32 1.7k 0.7× 966 1.0× 160 0.3× 158 0.4× 236 0.7× 81 3.4k
Jong‐Wook Park South Korea 37 2.4k 1.1× 602 0.6× 88 0.2× 208 0.6× 262 0.8× 137 4.4k

Countries citing papers authored by Zhen Wei

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Wei. A scholar is included among the top collaborators of Zhen Wei 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 Zhen Wei. Zhen Wei 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.
Xu, Zhendong, Zhen Wei, Lei Yu, et al.. (2024). Dynamic changes in lysosome‐related pathways in APP/PS1 mice with aging. SHILAP Revista de lepidopterología. 5(4). e540–e540. 4 indexed citations
2.
Huang, Jiankang, et al.. (2024). MiR-301b-3p targets and regulates EBF3 to impact the stem-like phenotype of breast cancer cells through glycolysis. Journal of Clinical Biochemistry and Nutrition. 76(1). 25–34.
3.
Wei, Zhen, et al.. (2024). Lactobacillus pentosus LPQ1 attenuates depressive-like behavior in BALB/C mice induced by chronic unpredictable mild stress (CUMS). Food Bioscience. 62. 105240–105240. 2 indexed citations
5.
Rigden, Daniel J., et al.. (2024). m6ACali: machine learning-powered calibration for accurate m6A detection in MeRIP-Seq. Nucleic Acids Research. 52(9). 4830–4842. 7 indexed citations
6.
Wang, Yue, Zhen Wei, Jionglong Su, Frans Coenen, & Jia Meng. (2023). RgnTX: Colocalization analysis of transcriptome elements in the presence of isoform heterogeneity and ambiguity. Computational and Structural Biotechnology Journal. 21. 4110–4117. 3 indexed citations
7.
Song, Bowen, Daiyun Huang, Yuxin Zhang, et al.. (2022). m6A-TSHub: Unveiling the Context-Specific m 6 A Methylation and m 6 A-Affecting Mutations in 23 Human Tissues. Genomics Proteomics & Bioinformatics. 21(4). 678–694. 29 indexed citations
8.
Wang, Xuan, et al.. (2022). 4acCPred: Weakly supervised prediction of N4-acetyldeoxycytosine DNA modification from sequences. Molecular Therapy — Nucleic Acids. 30. 337–345. 2 indexed citations
9.
Huang, Daiyun, Kunqi Chen, Bowen Song, et al.. (2022). Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation. Nucleic Acids Research. 50(18). 10290–10310. 26 indexed citations
10.
Zhao, Xichen, et al.. (2022). Detecting RNA modification using direct RNA sequencing: A systematic review. Computational and Structural Biotechnology Journal. 20. 5740–5749. 22 indexed citations
11.
Song, Bowen, Xuan Wang, Jiongming Ma, et al.. (2022). RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication. Nucleic Acids Research. 51(D1). D1388–D1396. 49 indexed citations
12.
Zhang, Yuxin, Jiongming Ma, Zhen Wei, et al.. (2022). DirectRMDB: a database of post-transcriptional RNA modifications unveiled from direct RNA sequencing technology. Nucleic Acids Research. 51(D1). D106–D116. 64 indexed citations
13.
Ma, Jiongming, Bowen Song, Zhen Wei, et al.. (2021). m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome. Nucleic Acids Research. 50(D1). D196–D203. 83 indexed citations
14.
Song, Bowen, Yujiao Tang, Kunqi Chen, et al.. (2020). m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human. Bioinformatics. 36(11). 3528–3536. 99 indexed citations
15.
Chen, Kunqi, Bowen Song, Yujiao Tang, et al.. (2020). RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis. Nucleic Acids Research. 49(D1). D1396–D1404. 76 indexed citations
16.
Wang, Yue, Kunqi Chen, Zhen Wei, et al.. (2020). MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis. Bioinformatics. 37(9). 1285–1291. 16 indexed citations
17.
Tang, Yujiao, Kunqi Chen, Bowen Song, et al.. (2020). m6A-Atlas: a comprehensive knowledgebase for unraveling theN6-methyladenosine (m6A) epitranscriptome. Nucleic Acids Research. 49(D1). D134–D143. 224 indexed citations
18.
Chen, Kunqi, Zhen Wei, Qing Zhang, et al.. (2019). WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach. Nucleic Acids Research. 47(7). e41–e41. 181 indexed citations
19.
Chen, Yongfeng, Zhen Wei, Yonggang Zhao, et al.. (2017). Histamine Receptor 3 negatively regulates oligodendrocyte differentiation and remyelination. PLoS ONE. 12(12). e0189380–e0189380. 49 indexed citations
20.
Liu, Yu, et al.. (2014). Association Between Genetic Polymorphisms in the ADAM33 Gene and Asthma Risk: A Meta-Analysis. DNA and Cell Biology. 33(11). 793–801. 9 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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