Xushen Xiong

3.4k total citations · 2 hit papers
25 papers, 2.3k citations indexed

About

Xushen Xiong is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xushen Xiong has authored 25 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Xushen Xiong's work include RNA modifications and cancer (16 papers), Cancer-related gene regulation (10 papers) and Cancer-related molecular mechanisms research (8 papers). Xushen Xiong is often cited by papers focused on RNA modifications and cancer (16 papers), Cancer-related gene regulation (10 papers) and Cancer-related molecular mechanisms research (8 papers). Xushen Xiong collaborates with scholars based in China, United States and Canada. Xushen Xiong's co-authors include Chengqi Yi, Xiaoyu Li, Kun Wang, Xiaoting Shu, Shiqing Ma, Lixia Wang, Jun Zhou, Xiaowei Chen, Danyang Yi and Ying Chen and has published in prestigious journals such as Cell, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Xushen Xiong

24 papers receiving 2.2k citations

Hit Papers

Transcriptome-wide mapping reveals reversible and dynamic... 2016 2026 2019 2022 2016 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xushen Xiong China 16 2.0k 1.0k 132 109 98 25 2.3k
Ivan Chen United States 8 1.3k 0.6× 837 0.8× 15 0.1× 289 2.7× 155 1.6× 9 1.5k
Gillian Browne United States 14 924 0.5× 328 0.3× 90 0.7× 208 1.9× 21 0.2× 14 1.7k
Zhixin Qiu China 14 838 0.4× 398 0.4× 17 0.1× 328 3.0× 49 0.5× 22 1.4k
Yejun Zou China 12 712 0.3× 163 0.2× 20 0.2× 59 0.5× 45 0.5× 19 1.1k
Astrid Zimmermann Germany 20 891 0.4× 210 0.2× 31 0.2× 397 3.6× 12 0.1× 76 1.7k
Hana Antonická Canada 25 2.8k 1.4× 150 0.1× 40 0.3× 63 0.6× 8 0.1× 42 3.0k
Carla Coackley Canada 14 722 0.4× 169 0.2× 24 0.2× 445 4.1× 26 0.3× 20 1.1k
Takashi Shingu United States 16 590 0.3× 327 0.3× 34 0.3× 193 1.8× 7 0.1× 26 1.0k
Katherine L. Eales United Kingdom 6 482 0.2× 336 0.3× 68 0.5× 131 1.2× 4 0.0× 7 910
Damien Duveau United States 15 753 0.4× 127 0.1× 66 0.5× 137 1.3× 14 0.1× 23 1.2k

Countries citing papers authored by Xushen Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Xushen Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xushen Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Xushen Xiong. A scholar is included among the top collaborators of Xushen Xiong 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 Xushen Xiong. Xushen Xiong 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.
Li, Chengyu, et al.. (2025). Genetics-mediated regulation of intestinal gene expression on microbiome contributes to human disease heritability. Molecular Systems Biology. 22(3). 369–394.
2.
Zhou, Yuenan, Zuokun Shi, Xushen Xiong, et al.. (2025). Condensation of ZFP207 and U1 snRNP promotes spliceosome assembly. Nature Structural & Molecular Biology. 32(6). 1038–1049. 2 indexed citations
3.
Li, Chengyu, et al.. (2025). Epitranscriptome–epigenome interactions in development and disease mechanisms. Trends in Genetics. 41(8). 691–705. 3 indexed citations
4.
He, Jialin, Lei Xiong, Chengyu Li, et al.. (2024). Deep learning prediction of ribosome profiling with Translatomer reveals translational regulation and interprets disease variants. Nature Machine Intelligence. 6(11). 1314–1329. 2 indexed citations
5.
Li, Chengyu, Jialin He, Yafei Yin, et al.. (2024). Crosstalk between epitranscriptomic and epigenomic modifications and its implication in human diseases. Cell Genomics. 4(8). 100605–100605. 7 indexed citations
6.
Ma, Tianzhu, et al.. (2024). G-quadruplex-guided bifunctional platinum complexes induce multiple pyroptosis pathways for antitumor therapy. Inorganic Chemistry Frontiers. 12(2). 707–722. 1 indexed citations
7.
Lu, Liang, Xiaoting Zhang, Yuenan Zhou, et al.. (2024). Base-resolution m5C profiling across the mammalian transcriptome by bisulfite-free enzyme-assisted chemical labeling approach. Molecular Cell. 84(15). 2984–3000.e8. 18 indexed citations
8.
Xiong, Xushen, et al.. (2024). Genetic regulation of m6A RNA methylation and its contribution in human complex diseases. Science China Life Sciences. 67(8). 1591–1600. 1 indexed citations
9.
Hou, Lei, Xushen Xiong, Yongjin Park, et al.. (2023). Multitissue H3K27ac profiling of GTEx samples links epigenomic variation to disease. Nature Genetics. 55(10). 1665–1676. 11 indexed citations
10.
Xiong, Xushen, Benjamin T. James, Carles A. Boix, et al.. (2023). Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion. Cell. 186(20). 4422–4437.e21. 68 indexed citations
11.
Sun, Na, Matheus B. Victor, Yongjin Park, et al.. (2023). Human microglial state dynamics in Alzheimer’s disease progression. Cell. 186(20). 4386–4403.e29. 162 indexed citations breakdown →
12.
Xiong, Xushen, Lei Hou, Yongjin Park, et al.. (2021). Genetic drivers of m6A methylation in human brain, lung, heart and muscle. Nature Genetics. 53(8). 1156–1165. 89 indexed citations
13.
Wang, Yanying, Jing Wang, Xiaoyu Li, et al.. (2021). N1-methyladenosine methylation in tRNA drives liver tumourigenesis by regulating cholesterol metabolism. Nature Communications. 12(1). 6314–6314. 176 indexed citations
14.
Liu, June, Kwok Yan Li, Jiabin Cai, et al.. (2019). Landscape and Regulation of m6A and m6Am Methylome across Human and Mouse Tissues. Molecular Cell. 77(2). 426–440.e6. 204 indexed citations
15.
Xiong, Xushen, Xiaoyu Li, Kun Wang, & Chengqi Yi. (2018). Perspectives on topology of the human m1A methylome at single nucleotide resolution. RNA. 24(11). 1437–1442. 21 indexed citations
16.
Xiong, Xushen, Xiaoyu Li, & Chengqi Yi. (2018). N1-methyladenosine methylome in messenger RNA and non-coding RNA. Current Opinion in Chemical Biology. 45. 179–186. 87 indexed citations
17.
Xiong, Xushen, Chengqi Yi, & Jinying Peng. (2017). Epitranscriptomics: Toward a Better Understanding of RNA Modifications. Genomics Proteomics & Bioinformatics. 15(3). 147–153. 31 indexed citations
18.
Li, Xiaoyu, Xushen Xiong, Meiling Zhang, et al.. (2017). Base-Resolution Mapping Reveals Distinct m1A Methylome in Nuclear- and Mitochondrial-Encoded Transcripts. Molecular Cell. 68(5). 993–1005.e9. 372 indexed citations
19.
Li, Xiaoyu, Xushen Xiong, Kun Wang, et al.. (2016). Transcriptome-wide mapping reveals reversible and dynamic N1-methyladenosine methylome. Nature Chemical Biology. 12(5). 311–316. 525 indexed citations breakdown →
20.
Li, Xiaoyu, Xushen Xiong, & Chengqi Yi. (2016). Epitranscriptome sequencing technologies: decoding RNA modifications. Nature Methods. 14(1). 23–31. 332 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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