Ximiao He

2.9k total citations
60 papers, 959 citations indexed

About

Ximiao He is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ximiao He has authored 60 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Ximiao He's work include Epigenetics and DNA Methylation (24 papers), RNA modifications and cancer (13 papers) and Genomics and Chromatin Dynamics (12 papers). Ximiao He is often cited by papers focused on Epigenetics and DNA Methylation (24 papers), RNA modifications and cancer (13 papers) and Genomics and Chromatin Dynamics (12 papers). Ximiao He collaborates with scholars based in China, United States and France. Ximiao He's co-authors include Charles Vinson, Juan Manuel Caravaca, Justin S. Becker, Kenneth S. Zaret, Greg Donahue, Cheng Deng, Liangbiao Chen, C.‐H. Christina Cheng, Hua Ye and Raghunath Chatterjee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Ximiao He

56 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ximiao He China 16 704 136 99 65 60 60 959
Stefano Castellana Italy 16 616 0.9× 259 1.9× 109 1.1× 63 1.0× 87 1.4× 73 952
Koen Herten Belgium 5 452 0.6× 129 0.9× 112 1.1× 102 1.6× 81 1.4× 7 798
James Iben United States 26 1.2k 1.7× 159 1.2× 86 0.9× 85 1.3× 99 1.6× 60 1.7k
R. Brent Calder United States 13 580 0.8× 99 0.7× 101 1.0× 63 1.0× 48 0.8× 17 905
Aurélie Bergon France 17 627 0.9× 112 0.8× 247 2.5× 133 2.0× 53 0.9× 23 1.1k
Anne Konzer Germany 20 591 0.8× 153 1.1× 53 0.5× 72 1.1× 57 0.9× 30 861
Maria Laura Idda Italy 15 507 0.7× 97 0.7× 265 2.7× 127 2.0× 39 0.7× 31 1.0k
Eileen Wagner United States 16 1.2k 1.6× 105 0.8× 107 1.1× 57 0.9× 38 0.6× 18 1.4k
Marina Naval-Sánchez Australia 14 687 1.0× 253 1.9× 168 1.7× 121 1.9× 91 1.5× 29 1.1k
Santasree Banerjee China 12 388 0.6× 245 1.8× 87 0.9× 32 0.5× 50 0.8× 38 823

Countries citing papers authored by Ximiao He

Since Specialization
Citations

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

Fields of papers citing papers by Ximiao He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ximiao He

This figure shows the co-authorship network connecting the top 25 collaborators of Ximiao He. A scholar is included among the top collaborators of Ximiao He 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 Ximiao He. Ximiao He 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.
Gao, Panpan, Haifeng Jiang, Yuwen Du, et al.. (2025). CD73 inhibitor AB680 suppresses glioblastoma in mice by inhibiting purine metabolism and promoting P2RY12+ microglia transformation. Acta Pharmacologica Sinica. 46(11). 3053–3070. 2 indexed citations
2.
Dong, Xiaochuan, Manman Lu, Lingyun Jing, et al.. (2024). PARP1 interacts with WDR5 to enhance target gene recognition and facilitate tumorigenesis. Cancer Letters. 593. 216952–216952. 3 indexed citations
3.
Xu, Li, Yue Wang, Yin Xu, et al.. (2024). Directed Differentiation of Human Induced Pluripotent Stem Cells to Heart Valve Cells. Circulation. 149(18). 1435–1456. 12 indexed citations
4.
5.
Yi, Shaohua, et al.. (2024). DNA methylation-based age estimation from semen: Genome-wide marker identification and model development. Forensic Science International Genetics. 76. 103215–103215. 1 indexed citations
6.
7.
Gao, Chenghao, Yi Zou, Liming Zhao, et al.. (2024). Single cell transcriptome profiling of infrapatellar fat pad highlights the role of interstitial inflammatory fibroblasts in osteoarthritis. International Immunopharmacology. 131. 111888–111888. 6 indexed citations
8.
Liu, Feng, Qian Zhou, Haifeng Jiang, et al.. (2023). Piperlongumine conquers temozolomide chemoradiotherapy resistance to achieve immune cure in refractory glioblastoma via boosting oxidative stress-inflamation-CD8+-T cell immunity. Journal of Experimental & Clinical Cancer Research. 42(1). 118–118. 15 indexed citations
9.
Guo, Shimeng, Qi Zhou, Yiran Zhang, et al.. (2023). H3K4 Methylation Promotes Expression of Mitochondrial Dynamics Regulators to Ensure Oocyte Quality in Mice. Advanced Science. 10(12). e2204794–e2204794. 16 indexed citations
10.
Peng, Peng, Fangling Cheng, Yuting Dong, et al.. (2021). High expression of TXNDC11 indicated unfavorable prognosis of glioma. Translational Cancer Research. 10(12). 5040–5051. 6 indexed citations
11.
Wu, Jian, Aodi He, Tongmei Zhang, et al.. (2021). Genome-Wide Screen and Validation of Microglia Pro-Inflammatory Mediators in Stroke. Aging and Disease. 12(3). 786–786. 20 indexed citations
12.
Zhou, Qian, et al.. (2021). Midkine Prevents Calcification of Aortic Valve Interstitial Cells via Intercellular Crosstalk. Frontiers in Cell and Developmental Biology. 9. 794058–794058. 7 indexed citations
13.
Jin, Jing, Ximiao He, & Elena Silva Casey. (2020). Stable intronic sequence RNAs (sisRNAs) are selected regions in introns with distinct properties. BMC Genomics. 21(1). 287–287. 6 indexed citations
14.
You, Ling, Ruiqin Xie, Haijuan Hu, et al.. (2017). High levels of serum β2-microglobulin predict severity of coronary artery disease. BMC Cardiovascular Disorders. 17(1). 71–71. 21 indexed citations
15.
Zhong, Qian, Andrei Trostel, Dale E. A. Lewis, et al.. (2016). Genome-Wide Transcriptional Regulation and Chromosome Structural Arrangement by GalR in E. coli. Frontiers in Molecular Biosciences. 3. 74–74. 9 indexed citations
16.
Chatterjee, Raghunath, Ximiao He, Di Huang, et al.. (2014). High-resolution genome-wide DNA methylation maps of mouse primary female dermal fibroblasts and keratinocytes. Epigenetics & Chromatin. 7(1). 35–35. 9 indexed citations
17.
Mann, Ishminder K., Raghunath Chatterjee, Jianfei Zhao, et al.. (2013). CG methylated microarrays identify a novel methylated sequence bound by the CEBPB|ATF4 heterodimer that is active in vivo. Genome Research. 23(6). 988–997. 98 indexed citations
18.
Deng, Cheng, Ximiao He, & Aaron J.W. Hsueh. (2013). A Single-Nucleotide Polymorphism of Human Neuropeptide S Gene Originated from Europe Shows Decreased Bioactivity. PLoS ONE. 8(12). e83009–e83009. 7 indexed citations
19.
Yang, Liu, Kunlin Zhang, Wei Dai, et al.. (2011). Systematic evaluation of genome-wide methylated DNA enrichment using a CpG island array. BMC Genomics. 12(1). 10–10. 16 indexed citations
20.
He, Ximiao, Shan Chang, Jian Zhang, et al.. (2007). MethyCancer: the database of human DNA methylation and cancer. Nucleic Acids Research. 36(Database). D836–D841. 106 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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