Wuritu Yang

677 total citations
22 papers, 539 citations indexed

About

Wuritu Yang is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wuritu Yang has authored 22 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Wuritu Yang's work include Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (9 papers) and RNA Research and Splicing (6 papers). Wuritu Yang is often cited by papers focused on Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (9 papers) and RNA Research and Splicing (6 papers). Wuritu Yang collaborates with scholars based in China, Mongolia and United States. Wuritu Yang's co-authors include Hao Lin, Hui Ding, Wei Chen, Jian Huang, Hua Tang, Yongchun Zuo, Xiaojuan Zhu, Hui Yang, Fanny Dao and Zhendong Su and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Wuritu Yang

20 papers receiving 537 citations

Peers

Countries citing papers authored by Wuritu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Wuritu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wuritu Yang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Analysis of Alternative Splicing Heterogeneity during Early Stages of Mouse Embryonic Development 2025 ·Current Bioinformatics ·Hsiang‐Cheng Chi, Yu Zhang, Anqi Li, Pengwei Hu, Wuritu Yang, (unknown)	0
2	Temporal Dynamic Analysis of Alternative Splicing During Embryonic Development in Zebrafish 2022 ·Frontiers in Cell and Developmental Biology ·Zhe Liu, (unknown), Xinru Li, (unknown), Hongyu Zhao, Wuritu Yang, Yongchun Zuo, Lu Cai, (unknown)	6
3	HelPredictor models single-cell transcriptome to predict human embryo lineage allocation 2021 ·Briefings in Bioinformatics ·Pengfei Liang, (unknown), Chunshen Long, Wuritu Yang, Lei Yang, Yongchun Zuo	11
4	Nuclear Transfer Arrest Embryos Show Massive Dysregulation of Genes Involved in Transcription Pathways 2021 ·International Journal of Molecular Sciences ·Chunshen Long, Hanshuang Li, Xinru Li, Wuritu Yang, Yongchun Zuo	3
5	Dynamic Alternative Splicing During Mouse Preimplantation Embryo Development 2020 ·Frontiers in Bioengineering and Biotechnology ·(unknown), Wuritu Yang, Guoqing Liu, (unknown), Hu Meng, Hongyu Zhao, (unknown), Jun Li, Zhe Liu, Michael Q. Zhang, Lu Cai	19
6	A Comparative Analysis of Single-Cell Transcriptome Identifies Reprogramming Driver Factors for Efficiency Improvement 2020 ·Molecular Therapy — Nucleic Acids ·Hanshuang Li, (unknown), Wuritu Yang, (unknown), (unknown), Yongchun Zuo	16
7	Machine Learning of Single-Cell Transcriptome Highly Identifies mRNA Signature by Comparing F-Score Selection with DGE Analysis 2020 ·Molecular Therapy — Nucleic Acids ·Pengfei Liang, Wuritu Yang, Xing Chen, Chunshen Long, (unknown), Hanshuang Li, Yongchun Zuo	30
8	Bifurcation and Potential Landscape of p53 Dynamics Depending on PDCD5 Level and ATM Degradation Rate 2020 ·International Journal of Bifurcation and Chaos ·(unknown), Quansheng Liu, Lixin Wang, Wuritu Yang, Xinwei Wu	7
9	iSP-RAAC: Identify Secretory Proteins of Malaria Parasite Using Reduced Amino Acid Composition 2020 ·Combinatorial Chemistry & High Throughput Screening ·Haoyue Zhang, (unknown), (unknown), Lei Zheng, Wuritu Yang, Yongchun Zuo	8
10	ICTC-RAAC: An improved web predictor for identifying the types of ion channel-targeted conotoxins by using reduced amino acid cluster descriptors 2020 ·Computational Biology and Chemistry ·(unknown), (unknown), Lei Zheng, Pengfei Liang, Wuritu Yang, Yongchun Zuo	7
11	Characterization of the relationship between FLI1 and immune infiltrate level in tumour immune microenvironment for breast cancer 2020 ·Journal of Cellular and Molecular Medicine ·Shiyuan Wang, Yakun Wang, (unknown), (unknown), Yu Yao, (unknown), (unknown), (unknown), Wuritu Yang, Yongchun Zuo, Lei Yang	13
12	RaacLogo: a new sequence logo generator by using reduced amino acid clusters 2020 ·Briefings in Bioinformatics ·(unknown), Dongyang Liu, Wuritu Yang, Lei Yang, Yongchun Zuo	45
13	A comparison and assessment of computational method for identifying recombination hotspots inSaccharomyces cerevisiae 2019 ·Briefings in Bioinformatics ·Hui Yang, Wuritu Yang, Fanny Dao, Hao Lv, Hui Ding, Wei Chen, Hao Lin	81
14	Recent Advancement in Predicting Subcellular Localization of Mycobacterial Protein with Machine Learning Methods 2019 ·Medicinal Chemistry ·(unknown), Zheng-Xing Guan, Dan Zhang, Zimei Zhang, Jian Huang, Wuritu Yang, Hao Lin	3
15	The Development of Machine Learning Methods in Cell-Penetrating Peptides Identification: A Brief Review 2018 ·Current Drug Metabolism ·Huanhuan Wei, Wuritu Yang, Hua Tang, Hao Lin	12
16	A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization 2018 ·Current Bioinformatics ·Wuritu Yang, Xiaojuan Zhu, Jian Huang, Hui Ding, Hao Lin	112
17	Recent Advances in Conotoxin Classification by Using Machine Learning Methods 2017 ·Molecules ·Fanny Dao, Hui Yang, Zhendong Su, Wuritu Yang, Yun Wu, Hui Ding, Wei Chen, Hua Tang, Hao Lin	57
18	IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types 2017 ·International Journal of Molecular Sciences ·Ya-Wei Zhao, Zhendong Su, Wuritu Yang, Hao Lin, Wei Chen, Hua Tang	55
19	PHYPred: a tool for identifying bacteriophage enzymes and hydrolases 2016 ·Virologica Sinica ·Hui Ding, Wuritu Yang, Hua Tang, Pengmian Feng, Jian Huang, Wei Chen, Hao Lin	45
20	One parameter to describe the mechanism of splice sites competition 2008 ·Biochemical and Biophysical Research Communications ·Wuritu Yang, Qian‐Zhong Li	7

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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