Yungang Xu

1.1k total citations
29 papers, 638 citations indexed

About

Yungang Xu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yungang Xu has authored 29 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Yungang Xu's work include RNA modifications and cancer (8 papers), Single-cell and spatial transcriptomics (7 papers) and RNA Research and Splicing (7 papers). Yungang Xu is often cited by papers focused on RNA modifications and cancer (8 papers), Single-cell and spatial transcriptomics (7 papers) and RNA Research and Splicing (7 papers). Yungang Xu collaborates with scholars based in China, United States and Canada. Yungang Xu's co-authors include Xiaobo Zhou, Weiling Zhao, Rufeng Li, Lixin Li, Juan Yang, Chunyu Wang, Xiaoyan Liu, Maozu Guo, Jiajia Liu and Lei You and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Yungang Xu

26 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yungang Xu China	14	477	128	48	42	38	29	638
Yuexu Jiang United States	13	739 1.5×	111 0.9×	63 1.3×	40 1.0×	62 1.6×	35	995
Andrew Tikhonov United Kingdom	4	519 1.1×	94 0.7×	22 0.5×	62 1.5×	62 1.6×	5	686
Dimitrios Kleftogiannis Saudi Arabia	11	404 0.8×	162 1.3×	71 1.5×	24 0.6×	30 0.8×	28	560
Niran Abeygunawardena United Kingdom	5	552 1.2×	87 0.7×	28 0.6×	65 1.5×	51 1.3×	5	657
Natalja Kurbatova United Kingdom	7	530 1.1×	79 0.6×	41 0.9×	67 1.6×	49 1.3×	11	679
Bin Duan China	11	534 1.1×	52 0.4×	40 0.8×	51 1.2×	28 0.7×	19	631
Maria Keays United Kingdom	5	457 1.0×	82 0.6×	20 0.4×	65 1.5×	77 2.0×	5	617
Adam McDermaid United States	11	465 1.0×	87 0.7×	27 0.6×	42 1.0×	105 2.8×	16	655
Nimrod Rappoport Israel	7	497 1.0×	128 1.0×	63 1.3×	58 1.4×	21 0.6×	8	630
Lujia Chen United States	12	359 0.8×	112 0.9×	37 0.8×	72 1.7×	11 0.3×	36	603

Countries citing papers authored by Yungang Xu

Since Specialization

Citations

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

Fields of papers citing papers by Yungang Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yungang Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Yungang Xu. A scholar is included among the top collaborators of Yungang Xu 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 Yungang Xu. Yungang Xu 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

Lu, Xinlan, Min Qiang, Rufeng Li, et al.. (2025). Multi-omics profiling reveals downregulated tumor lysine metabolism reshaping the immune microenvironment and therapeutic responses in hepatocellular carcinoma. Journal of Translational Medicine. 23(1). 1117–1117.

Zhang, Xurui, et al.. (2025). Splicing to keep splicing: A feedback system for cellular homeostasis and state transition. Clinical and Translational Medicine. 15(6). e70369–e70369. 1 indexed citations

Zhou, Jinting, et al.. (2024). Single-cell RNA-seq Reveals the Inhibitory Effect of Methamphetamine on Liver Immunity with the Involvement of Dopamine Receptor D1. Genomics Proteomics & Bioinformatics. 22(4). 1 indexed citations

Zhang, Cong, Xin Gou, Guichuan Lai, et al.. (2024). Single-nucleus sequencing unveils heterogeneity in renal cell carcinomas microenvironment: Insights into pathogenic origins and treatment-responsive cellular subgroups. Cancer Letters. 604. 217259–217259. 6 indexed citations

Zhang, Xurui, et al.. (2024). Splicing to orchestrate cell fate. Molecular Therapy — Nucleic Acids. 36(1). 102416–102416. 3 indexed citations

Li, Kang, Rufeng Li, Min Qiang, et al.. (2024). Pan-cancer characterization of cellular senescence reveals its inter-tumor heterogeneity associated with the tumor microenvironment and prognosis. Computers in Biology and Medicine. 182. 109196–109196.

Wang, Tao, Hui Zhao, Yungang Xu, et al.. (2023). scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks. Briefings in Bioinformatics. 24(6). 21 indexed citations

Li, Kang, Min Qiang, & Yungang Xu. (2023). Cell-type-specific alternative polyadenylation as a therapeutic biomarker in lung cancer progression. Molecular Therapy — Nucleic Acids. 34. 102030–102030. 1 indexed citations

Wang, Qi, Jie Chen, Xinyue Zhang, et al.. (2022). Immune-Associated Gene Signatures Serve as a Promising Biomarker of Immunotherapeutic Prognosis for Renal Clear Cell Carcinoma. Frontiers in Immunology. 13. 890150–890150. 21 indexed citations

10.

Zhu, Jun, Shoujie Zhao, Yejing Zhu, et al.. (2022). Computational Characterizing Necroptosis Reveals Implications for Immune Infiltration and Immunotherapy of Hepatocellular Carcinoma. Frontiers in Oncology. 12. 933210–933210. 2 indexed citations

11.

Li, Rufeng, Lixin Li, Yungang Xu, & Juan Yang. (2021). Machine learning meets omics: applications and perspectives. Briefings in Bioinformatics. 23(1). 109 indexed citations

12.

Xu, Yungang, et al.. (2020). scIGANs: single-cell RNA-seq imputation using generative adversarial networks. Nucleic Acids Research. 48(15). e85–e85. 117 indexed citations

13.

Li, Zhijin, Hua Tan, Weiling Zhao, et al.. (2019). Integrative analysis of DNA methylation and gene expression profiles identifies MIR4435-2HG as an oncogenic lncRNA for glioma progression. Gene. 715. 144012–144012. 28 indexed citations

14.

Xu, Yungang & Xiaobo Zhou. (2018). Applications of Single-Cell Sequencing for Multiomics. Methods in molecular biology. 1754. 327–374. 19 indexed citations

15.

Liu, Changan, Weiling Zhao, Yungang Xu, et al.. (2018). Genome-Wide Association and Mechanistic Studies Indicate That Immune Response Contributes to Alzheimer’s Disease Development. Frontiers in Genetics. 9. 410–410. 39 indexed citations

16.

Xu, Yungang, Weiling Zhao, Scott D. Olson, Karthik S. Prabhakara, & Xiaobo Zhou. (2018). Alternative splicing links histone modifications to stem cell fate decision. Genome biology. 19(1). 133–133. 49 indexed citations

17.

Xu, Yungang, Maozu Guo, Xiaoyan Liu, Chunyu Wang, & Yang Liu. (2014). SoyFN: a knowledge database of soybean functional networks. Database. 2014. bau019–bau019. 21 indexed citations

18.

Xu, Yungang, Maozu Guo, Quan Zou, et al.. (2014). System-Level Insights into the Cellular Interactome of a Non-Model Organism: Inferring, Modelling and Analysing Functional Gene Network of Soybean (Glycine max). PLoS ONE. 9(11). e113907–e113907. 7 indexed citations

19.

Xu, Yungang, et al.. (2013). A novel insight into Gene Ontology semantic similarity. Genomics. 101(6). 368–375. 49 indexed citations

20.

Xu, Yungang, Maozu Guo, Xiaoyan Liu, Chunyu Wang, & Yang Liu. (2013). Inferring the soybean (Glycine max) microRNA functional network based on target gene network. Bioinformatics. 30(1). 94–103. 34 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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